diff --git a/.eslintrc.json b/.eslintrc.json index 56d41d9e..1592a643 100644 --- a/.eslintrc.json +++ b/.eslintrc.json @@ -40,6 +40,7 @@ "@typescript-eslint/explicit-module-boundary-types": "off", "@typescript-eslint/no-shadow": "error", "@typescript-eslint/no-var-requires": "off", + "@typescript-eslint/prefer-as-const": "off", "@typescript-eslint/triple-slash-reference": "off", "@typescript-eslint/no-inferrable-types": "off", "@typescript-eslint/no-empty-interface": ["error", { "allowSingleExtends": true }], diff --git a/CHANGELOG.md b/CHANGELOG.md index fcc05e74..05095b3f 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -11,6 +11,8 @@ ### **HEAD -> main** 2021/11/11 mandic00@live.com +- add similarity score range normalization +- add faceid demo - documentation overhaul - auto tensor shape and channels handling - disable use of path2d in node diff --git a/demo/faceid/index.html b/demo/faceid/index.html index 0367f77e..d6a731a0 100644 --- a/demo/faceid/index.html +++ b/demo/faceid/index.html @@ -18,14 +18,15 @@ html { font-family: 'Lato', 'Segoe UI'; font-size: 16px; font-variant: small-caps; } body { margin: 0; padding: 16px; background: black; color: white; overflow-x: hidden; width: 100vw; height: 100vh; } body::-webkit-scrollbar { display: none; } - .button { padding: 2px; cursor: pointer; box-shadow: 2px 2px black; width: 64px; text-align: center; margin-left: 16px; height: 16px; display: none } + .button { padding: 2px; cursor: pointer; box-shadow: 2px 2px black; width: 64px; text-align: center; place-content: center; margin-left: 16px; height: 16px; display: none } + .ok { position: absolute; top: 64px; right: 20px; width: 100px; background-color: grey; padding: 4px; color: black; font-size: 14px } - 

+    

     

     
-    
retry

-    

+    
retry

+    

   
 
diff --git a/demo/faceid/index.js b/demo/faceid/index.js
index d48ffc3f..8c7af2db 100644
--- a/demo/faceid/index.js
+++ b/demo/faceid/index.js
@@ -47,6 +47,15 @@ async function load() {
     };
   });
 }
+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();
@@ -62,15 +71,12 @@ async function remove(faceRecord) {
 }
 
 // demo/faceid/index.ts
-var db2 = [];
-var face;
-var current;
 var humanConfig = {
   modelBasePath: "../../models",
   filter: { equalization: true },
   face: {
     enabled: true,
-    detector: { rotation: true, return: true },
+    detector: { rotation: true, return: true, cropFactor: 1.6, mask: false },
     description: { enabled: true },
     iris: { enabled: true },
     emotion: { enabled: false },
@@ -88,19 +94,24 @@ var options = {
   maxTime: 1e4,
   blinkMin: 10,
   blinkMax: 800,
-  threshold: 0.5
+  threshold: 0.5,
+  mask: humanConfig.face.detector.mask,
+  rotation: humanConfig.face.detector.rotation,
+  cropFactor: humanConfig.face.detector.cropFactor
 };
 var ok = {
   faceCount: false,
   faceConfidence: false,
   facingCenter: false,
+  lookingCenter: false,
   blinkDetected: false,
   faceSize: false,
   antispoofCheck: false,
   livenessCheck: false,
   elapsedMs: 0
 };
-var allOk = () => ok.faceCount && ok.faceSize && ok.blinkDetected && ok.facingCenter && ok.faceConfidence && ok.antispoofCheck && ok.livenessCheck;
+var allOk = () => ok.faceCount && ok.faceSize && ok.blinkDetected && ok.facingCenter && ok.lookingCenter && ok.faceConfidence && ok.antispoofCheck && ok.livenessCheck;
+var current = { face: null, record: null };
 var blink = {
   start: 0,
   end: 0,
@@ -115,13 +126,13 @@ var dom = {
   canvas: document.getElementById("canvas"),
   log: document.getElementById("log"),
   fps: document.getElementById("fps"),
-  status: document.getElementById("status"),
   match: document.getElementById("match"),
   name: document.getElementById("name"),
   save: document.getElementById("save"),
   delete: document.getElementById("delete"),
   retry: document.getElementById("retry"),
-  source: document.getElementById("source")
+  source: document.getElementById("source"),
+  ok: document.getElementById("ok")
 };
 var timestamp = { detect: 0, draw: 0 };
 var fps = { detect: 0, draw: 0 };
@@ -131,7 +142,6 @@ var log2 = (...msg) => {
   console.log(...msg);
 };
 var printFPS = (msg) => dom.fps.innerText = msg;
-var printStatus = (msg) => dom.status.innerText = "status: " + JSON.stringify(msg).replace(/"|{|}/g, "").replace(/,/g, " | ");
 async function webCam() {
   printFPS("starting webcam...");
   const cameraOptions = { audio: false, video: { facingMode: "user", resizeMode: "none", width: { ideal: document.body.clientWidth } } };
@@ -155,8 +165,8 @@ async function webCam() {
 }
 async function detectionLoop() {
   if (!dom.video.paused) {
-    if (face && face.tensor)
-      human.tf.dispose(face.tensor);
+    if (current.face && current.face.tensor)
+      human.tf.dispose(current.face.tensor);
     await human.detect(dom.video);
     const now = human.now();
     fps.detect = 1e3 / (now - timestamp.detect);
@@ -179,16 +189,32 @@ async function validationLoop() {
       blink.start = human.now();
     if (blink.start > 0 && !gestures.includes("blink left eye") && !gestures.includes("blink right eye"))
       blink.end = human.now();
-    ok.blinkDetected = ok.blinkDetected || blink.end - blink.start > options.blinkMin && blink.end - blink.start < options.blinkMax;
+    ok.blinkDetected = ok.blinkDetected || Math.abs(blink.end - blink.start) > options.blinkMin && Math.abs(blink.end - blink.start) < options.blinkMax;
     if (ok.blinkDetected && blink.time === 0)
       blink.time = Math.trunc(blink.end - blink.start);
-    ok.facingCenter = gestures.includes("facing center") && gestures.includes("looking center");
+    ok.facingCenter = gestures.includes("facing center");
+    ok.lookingCenter = gestures.includes("looking center");
     ok.faceConfidence = (human.result.face[0].boxScore || 0) > options.minConfidence && (human.result.face[0].faceScore || 0) > options.minConfidence && (human.result.face[0].genderScore || 0) > options.minConfidence;
     ok.antispoofCheck = (human.result.face[0].real || 0) > options.minConfidence;
     ok.livenessCheck = (human.result.face[0].live || 0) > options.minConfidence;
     ok.faceSize = human.result.face[0].box[2] >= options.minSize && human.result.face[0].box[3] >= options.minSize;
   }
-  printStatus(ok);
+  let y = 32;
+  for (const [key, val] of Object.entries(ok)) {
+    let el = document.getElementById(`ok-${key}`);
+    if (!el) {
+      el = document.createElement("div");
+      el.innerText = key;
+      el.className = "ok";
+      el.style.top = `${y}px`;
+      dom.ok.appendChild(el);
+    }
+    if (typeof val === "boolean")
+      el.style.backgroundColor = val ? "lightgreen" : "lightcoral";
+    else
+      el.innerText = `${key}:${val}`;
+    y += 28;
+  }
   if (allOk()) {
     dom.video.pause();
     return human.result.face[0];
@@ -208,46 +234,48 @@ async function validationLoop() {
   }
 }
 async function saveRecords() {
-  var _a;
+  var _a, _b;
   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: face.embedding, image };
+    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);
-    db2.push(rec);
   } else {
     log2("invalid name");
   }
 }
 async function deleteRecord() {
-  if (current.id > 0) {
-    await remove(current);
+  if (current.record && current.record.id > 0) {
+    await remove(current.record);
   }
 }
 async function detectFace() {
   var _a, _b;
   (_a = dom.canvas.getContext("2d")) == null ? void 0 : _a.clearRect(0, 0, options.minSize, options.minSize);
-  if (!face || !face.tensor || !face.embedding)
-    return 0;
-  human.tf.browser.toPixels(face.tensor, dom.canvas);
-  const descriptors = db2.map((rec) => rec.descriptor);
-  const res = await human.match(face.embedding, descriptors);
-  if (res.index === -1) {
-    log2("no matches");
+  if (!current.face || !current.face.tensor || !current.face.embedding)
+    return false;
+  human.tf.browser.toPixels(current.face.tensor, dom.canvas);
+  if (await count() === 0) {
+    log2("face database is empty");
+    document.body.style.background = "black";
     dom.delete.style.display = "none";
-    dom.source.style.display = "none";
-  } else {
-    current = db2[res.index];
-    log2(`best match: ${current.name} | id: ${current.id} | similarity: ${Math.round(1e3 * res.similarity) / 10}%`);
-    dom.delete.style.display = "";
-    dom.name.value = current.name;
-    dom.source.style.display = "";
-    (_b = dom.source.getContext("2d")) == null ? void 0 : _b.putImageData(current.image, 0, 0);
+    return false;
   }
+  const db2 = await load();
+  const descriptors = db2.map((rec) => rec.descriptor);
+  const res = await human.match(current.face.embedding, descriptors);
+  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 = "";
+    (_b = dom.source.getContext("2d")) == null ? void 0 : _b.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;
+  var _a, _b, _c, _d;
   ok.faceCount = false;
   ok.faceConfidence = false;
   ok.facingCenter = false;
@@ -258,34 +286,33 @@ async function main() {
   ok.elapsedMs = 0;
   dom.match.style.display = "none";
   dom.retry.style.display = "none";
+  dom.source.style.display = "none";
   document.body.style.background = "black";
   await webCam();
   await detectionLoop();
   startTime = human.now();
-  face = await validationLoop();
-  dom.fps.style.display = "none";
-  dom.canvas.width = ((_a = face == null ? void 0 : face.tensor) == null ? void 0 : _a.shape[1]) || options.minSize;
-  dom.canvas.height = ((_b = face == null ? void 0 : face.tensor) == null ? void 0 : _b.shape[0]) || options.minSize;
+  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;
   } else {
-    const res = await detectFace();
-    document.body.style.background = res ? "darkgreen" : "maroon";
-    return res;
+    return detectFace();
   }
 }
 async function init() {
   log2("human version:", human.version, "| tfjs version:", human.tf.version_core);
   log2("options:", JSON.stringify(options).replace(/{|}|"|\[|\]/g, "").replace(/,/g, " "));
   printFPS("loading...");
-  db2 = await load();
-  log2("loaded face records:", db2.length);
+  log2("known face records:", await count());
   await webCam();
   await human.load();
   printFPS("initializing...");
diff --git a/demo/faceid/index.js.map b/demo/faceid/index.js.map
index 8f78fa82..24f4b7c2 100644
--- a/demo/faceid/index.js.map
+++ b/demo/faceid/index.js.map
@@ -1,7 +1,7 @@
 {
   "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 { Human, TensorLike, FaceResult } from '../../dist/human.esm.js'; // equivalent of @vladmandic/Human\nimport * as indexDb from './indexdb'; // methods to deal with indexdb\n\nlet db: Array = []; // face descriptor database stored in indexdb\nlet face: FaceResult; // face result from human.detect\nlet current: indexDb.FaceRecord; // currently matched db record\n\nconst humanConfig = { // user configuration for human, used to fine-tune behavior\n  modelBasePath: '../../models',\n  filter: { equalization: true }, // lets run with histogram equilizer\n  face: {\n    enabled: true,\n    detector: { rotation: true, return: true }, // return tensor is used to get detected face image\n    description: { enabled: true },\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\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: 10000, // 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};\n\nconst ok = { // must meet all rules\n  faceCount: false,\n  faceConfidence: false,\n  facingCenter: false,\n  blinkDetected: false,\n  faceSize: false,\n  antispoofCheck: false,\n  livenessCheck: false,\n  elapsedMs: 0, // total time while waiting for valid face\n};\nconst allOk = () => ok.faceCount && ok.faceSize && ok.blinkDetected && ok.facingCenter && ok.faceConfidence && ok.antispoofCheck && ok.livenessCheck;\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 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  status: document.getElementById('status') 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};\nconst timestamp = { detect: 0, draw: 0 }; // holds information used to calculate performance and possible memory leaks\nconst fps = { detect: 0, draw: 0 }; // holds calculated fps information for both detect and screen refresh\nlet startTime = 0;\n\nconst log = (...msg) => { // helper method to output messages\n  dom.log.innerText += msg.join(' ') + '\\n';\n  // eslint-disable-next-line no-console\n  console.log(...msg);\n};\nconst printFPS = (msg) => dom.fps.innerText = msg; // print status element\nconst printStatus = (msg) => dom.status.innerText = 'status: ' + JSON.stringify(msg).replace(/\"|{|}/g, '').replace(/,/g, ' | '); // print status element\n\nasync function webCam() { // initialize webcam\n  printFPS('starting 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  dom.video.play();\n  await ready;\n  dom.canvas.width = dom.video.videoWidth;\n  dom.canvas.height = dom.video.videoHeight;\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) dom.video.play();\n    else dom.video.pause();\n  };\n}\n\nasync function detectionLoop() { // main detection loop\n  if (!dom.video.paused) {\n    if (face && face.tensor) human.tf.dispose(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    fps.detect = 1000 / (now - timestamp.detect);\n    timestamp.detect = now;\n    requestAnimationFrame(detectionLoop); // start new frame immediately\n  }\n}\n\nasync function validationLoop(): Promise { // main screen refresh loop\n  const interpolated = await human.next(human.result); // smoothen result using last-known results\n  await 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  fps.draw = 1000 / (now - timestamp.draw);\n  timestamp.draw = now;\n  printFPS(`fps: ${fps.detect.toFixed(1).padStart(5, ' ')} detect | ${fps.draw.toFixed(1).padStart(5, ' ')} draw`); // write status\n  ok.faceCount = human.result.face.length === 1; // must be exactly detected face\n  if (ok.faceCount) { // skip the rest if no face\n    const gestures: string[] = Object.values(human.result.gesture).map((gesture) => 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 = ok.blinkDetected || (blink.end - blink.start > options.blinkMin && blink.end - blink.start < options.blinkMax);\n    if (ok.blinkDetected && blink.time === 0) blink.time = Math.trunc(blink.end - blink.start);\n    ok.facingCenter = gestures.includes('facing center') && gestures.includes('looking center'); // must face camera and look at camera\n    ok.faceConfidence = (human.result.face[0].boxScore || 0) > options.minConfidence && (human.result.face[0].faceScore || 0) > options.minConfidence && (human.result.face[0].genderScore || 0) > options.minConfidence;\n    ok.antispoofCheck = (human.result.face[0].real || 0) > options.minConfidence;\n    ok.livenessCheck = (human.result.face[0].live || 0) > options.minConfidence;\n    ok.faceSize = human.result.face[0].box[2] >= options.minSize && human.result.face[0].box[3] >= options.minSize;\n  }\n  printStatus(ok);\n  if (allOk()) { // all criteria met\n    dom.video.pause();\n    return human.result.face[0];\n  }\n  if (ok.elapsedMs > options.maxTime) { // give up\n    dom.video.pause();\n    return human.result.face[0];\n  } else { // run again\n    ok.elapsedMs = Math.trunc(human.now() - startTime);\n    return new Promise((resolve) => {\n      setTimeout(async () => {\n        const res = await validationLoop(); // run validation loop until conditions are met\n        if (res) 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}\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: face.embedding as number[], image };\n    await indexDb.save(rec);\n    log('saved face record:', rec.name);\n    db.push(rec);\n  } else {\n    log('invalid name');\n  }\n}\n\nasync function deleteRecord() {\n  if (current.id > 0) {\n    await indexDb.remove(current);\n  }\n}\n\nasync function detectFace() {\n  dom.canvas.getContext('2d')?.clearRect(0, 0, options.minSize, options.minSize);\n  if (!face || !face.tensor || !face.embedding) return 0;\n  human.tf.browser.toPixels(face.tensor as unknown as TensorLike, dom.canvas);\n  const descriptors = db.map((rec) => rec.descriptor);\n  const res = await human.match(face.embedding, descriptors);\n  if (res.index === -1) {\n    log('no matches');\n    dom.delete.style.display = 'none';\n    dom.source.style.display = 'none';\n  } else {\n    current = db[res.index];\n    log(`best match: ${current.name} | id: ${current.id} | similarity: ${Math.round(1000 * res.similarity) / 10}%`);\n    dom.delete.style.display = '';\n    dom.name.value = current.name;\n    dom.source.style.display = '';\n    dom.source.getContext('2d')?.putImageData(current.image, 0, 0);\n  }\n  return res.similarity > options.threshold;\n}\n\nasync function main() { // main entry point\n  ok.faceCount = false;\n  ok.faceConfidence = false;\n  ok.facingCenter = false;\n  ok.blinkDetected = false;\n  ok.faceSize = false;\n  ok.antispoofCheck = false;\n  ok.livenessCheck = false;\n  ok.elapsedMs = 0;\n  dom.match.style.display = 'none';\n  dom.retry.style.display = 'none';\n  document.body.style.background = 'black';\n  await webCam();\n  await detectionLoop(); // start detection loop\n  startTime = human.now();\n  face = await validationLoop(); // start validation loop\n  dom.fps.style.display = 'none';\n  dom.canvas.width = face?.tensor?.shape[1] || options.minSize;\n  dom.canvas.height = 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.retry.style.display = 'block';\n  if (!allOk()) {\n    log('did not find valid face');\n    return false;\n  } else {\n    // log('found valid face');\n    const res = await detectFace();\n    document.body.style.background = res ? 'darkgreen' : 'maroon';\n    return res;\n  }\n}\n\nasync function init() {\n  log('human version:', human.version, '| tfjs version:', human.tf.version_core);\n  log('options:', JSON.stringify(options).replace(/{|}|\"|\\[|\\]/g, '').replace(/,/g, ' '));\n  printFPS('loading...');\n  db = await indexDb.load(); // load face database from indexdb\n  log('loaded face records:', db.length);\n  await webCam(); // start webcam\n  await human.load(); // preload all models\n  printFPS('initializing...');\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 type FaceRecord = { id: number, name: string, descriptor: number[], image: ImageData };\n\n// eslint-disable-next-line no-console\nconst log = (...msg) => console.log('indexdb', ...msg);\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 as IDBDatabase;\n      log('open:', db);\n      resolve(true);\n    };\n  });\n}\n\nexport async function load(): Promise {\n  const faceDB: Array = [];\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 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;;;ACTA,IAAI;AAEJ,IAAM,WAAW;AACjB,IAAM,QAAQ;AAKd,IAAM,MAAM,IAAI,QAAQ,QAAQ,IAAI,WAAW,GAAG;AAElD,sBAA6B;AAC3B,MAAI;AAAI,WAAO;AACf,SAAO,IAAI,QAAQ,CAAC,YAAY;AAC9B,UAAM,UAA4B,UAAU,KAAK,UAAU;AAC3D,YAAQ,UAAU,CAAC,QAAQ,IAAI,UAAU;AACzC,YAAQ,kBAAkB,CAAC,QAA+B;AACxD,UAAI,WAAW,IAAI;AACnB,WAAM,IAAI,OAA4B;AACtC,SAAG,kBAAkB,OAAO,EAAE,SAAS,MAAM,eAAe;AAAA;AAE9D,YAAQ,YAAY,CAAC,QAAQ;AAC3B,WAAM,IAAI,OAA4B;AACtC,UAAI,SAAS;AACb,cAAQ;AAAA;AAAA;AAAA;AAKd,sBAAoD;AAClD,QAAM,SAA4B;AAClC,MAAI,CAAC;AAAI,UAAM;AACf,SAAO,IAAI,QAAQ,CAAC,YAAY;AAC9B,UAAM,SAAqB,GAAG,YAAY,CAAC,QAAQ,aAAa,YAAY,OAAO,WAAW,MAAM;AACpG,WAAO,UAAU,CAAC,QAAQ,IAAI,eAAe;AAC7C,WAAO,YAAY,CAAC,QAAQ;AAC1B,UAAK,IAAI,OAAsB,QAAQ;AACrC,eAAO,KAAM,IAAI,OAAsB,OAAO;AAC9C,QAAC,IAAI,OAAsB,OAAO;AAAA,aAC7B;AACL,gBAAQ;AAAA;AAAA;AAAA;AAAA;AAMhB,oBAA2B,YAAwB;AACjD,MAAI,CAAC;AAAI,UAAM;AACf,QAAM,YAAY,EAAE,MAAM,WAAW,MAAM,YAAY,WAAW,YAAY,OAAO,WAAW;AAChG,KAAG,YAAY,CAAC,QAAQ,aAAa,YAAY,OAAO,IAAI;AAC5D,MAAI,SAAS;AAAA;AAGf,sBAA6B,YAAwB;AACnD,MAAI,CAAC;AAAI,UAAM;AACf,KAAG,YAAY,CAAC,QAAQ,aAAa,YAAY,OAAO,OAAO,WAAW;AAC1E,MAAI,WAAW;AAAA;;;ADvDjB,AAYA,IAAI,MAAgC;AACpC,IAAI;AACJ,IAAI;AAEJ,IAAM,cAAc;AAAA,EAClB,eAAe;AAAA,EACf,QAAQ,EAAE,cAAc;AAAA,EACxB,MAAM;AAAA,IACJ,SAAS;AAAA,IACT,UAAU,EAAE,UAAU,MAAM,QAAQ;AAAA,IACpC,aAAa,EAAE,SAAS;AAAA,IACxB,MAAM,EAAE,SAAS;AAAA,IACjB,SAAS,EAAE,SAAS;AAAA,IACpB,WAAW,EAAE,SAAS;AAAA,IACtB,UAAU,EAAE,SAAS;AAAA;AAAA,EAEvB,MAAM,EAAE,SAAS;AAAA,EACjB,MAAM,EAAE,SAAS;AAAA,EACjB,QAAQ,EAAE,SAAS;AAAA,EACnB,SAAS,EAAE,SAAS;AAAA;AAGtB,IAAM,UAAU;AAAA,EACd,eAAe;AAAA,EACf,SAAS;AAAA,EACT,SAAS;AAAA,EACT,UAAU;AAAA,EACV,UAAU;AAAA,EACV,WAAW;AAAA;AAGb,IAAM,KAAK;AAAA,EACT,WAAW;AAAA,EACX,gBAAgB;AAAA,EAChB,cAAc;AAAA,EACd,eAAe;AAAA,EACf,UAAU;AAAA,EACV,gBAAgB;AAAA,EAChB,eAAe;AAAA,EACf,WAAW;AAAA;AAEb,IAAM,QAAQ,MAAM,GAAG,aAAa,GAAG,YAAY,GAAG,iBAAiB,GAAG,gBAAgB,GAAG,kBAAkB,GAAG,kBAAkB,GAAG;AAEvI,IAAM,QAAQ;AAAA,EACZ,OAAO;AAAA,EACP,KAAK;AAAA,EACL,MAAM;AAAA;AAIR,IAAM,QAAQ,IAAI,MAAM;AAExB,MAAM,IAAI,aAAa;AACvB,MAAM,KAAK,QAAQ,OAAO;AAC1B,MAAM,KAAK,QAAQ,aAAa;AAEhC,IAAM,MAAM;AAAA,EACV,OAAO,SAAS,eAAe;AAAA,EAC/B,QAAQ,SAAS,eAAe;AAAA,EAChC,KAAK,SAAS,eAAe;AAAA,EAC7B,KAAK,SAAS,eAAe;AAAA,EAC7B,QAAQ,SAAS,eAAe;AAAA,EAChC,OAAO,SAAS,eAAe;AAAA,EAC/B,MAAM,SAAS,eAAe;AAAA,EAC9B,MAAM,SAAS,eAAe;AAAA,EAC9B,QAAQ,SAAS,eAAe;AAAA,EAChC,OAAO,SAAS,eAAe;AAAA,EAC/B,QAAQ,SAAS,eAAe;AAAA;AAElC,IAAM,YAAY,EAAE,QAAQ,GAAG,MAAM;AACrC,IAAM,MAAM,EAAE,QAAQ,GAAG,MAAM;AAC/B,IAAI,YAAY;AAEhB,IAAM,OAAM,IAAI,QAAQ;AACtB,MAAI,IAAI,aAAa,IAAI,KAAK,OAAO;AAErC,UAAQ,IAAI,GAAG;AAAA;AAEjB,IAAM,WAAW,CAAC,QAAQ,IAAI,IAAI,YAAY;AAC9C,IAAM,cAAc,CAAC,QAAQ,IAAI,OAAO,YAAY,aAAa,KAAK,UAAU,KAAK,QAAQ,UAAU,IAAI,QAAQ,MAAM;AAEzH,wBAAwB;AACtB,WAAS;AAET,QAAM,gBAAwC,EAAE,OAAO,OAAO,OAAO,EAAE,YAAY,QAAQ,YAAY,QAAQ,OAAO,EAAE,OAAO,SAAS,KAAK;AAC7I,QAAM,SAAsB,MAAM,UAAU,aAAa,aAAa;AACtE,QAAM,QAAQ,IAAI,QAAQ,CAAC,YAAY;AAAE,QAAI,MAAM,eAAe,MAAM,QAAQ;AAAA;AAChF,MAAI,MAAM,YAAY;AACtB,MAAI,MAAM;AACV,QAAM;AACN,MAAI,OAAO,QAAQ,IAAI,MAAM;AAC7B,MAAI,OAAO,SAAS,IAAI,MAAM;AAC9B,MAAI,MAAM,IAAI;AAAS,SAAI,UAAU,IAAI,MAAM,YAAY,IAAI,MAAM,aAAa,KAAK,OAAO,iBAAiB,GAAG;AAClH,MAAI,OAAO,UAAU,MAAM;AACzB,QAAI,IAAI,MAAM;AAAQ,UAAI,MAAM;AAAA;AAC3B,UAAI,MAAM;AAAA;AAAA;AAInB,+BAA+B;AAC7B,MAAI,CAAC,IAAI,MAAM,QAAQ;AACrB,QAAI,QAAQ,KAAK;AAAQ,YAAM,GAAG,QAAQ,KAAK;AAC/C,UAAM,MAAM,OAAO,IAAI;AACvB,UAAM,MAAM,MAAM;AAClB,QAAI,SAAS,MAAQ,OAAM,UAAU;AACrC,cAAU,SAAS;AACnB,0BAAsB;AAAA;AAAA;AAI1B,gCAAqD;AACnD,QAAM,eAAe,MAAM,MAAM,KAAK,MAAM;AAC5C,QAAM,MAAM,KAAK,OAAO,IAAI,OAAO,IAAI;AACvC,QAAM,MAAM,KAAK,IAAI,IAAI,QAAQ;AACjC,QAAM,MAAM,MAAM;AAClB,MAAI,OAAO,MAAQ,OAAM,UAAU;AACnC,YAAU,OAAO;AACjB,WAAS,QAAQ,IAAI,OAAO,QAAQ,GAAG,SAAS,GAAG,iBAAiB,IAAI,KAAK,QAAQ,GAAG,SAAS,GAAG;AACpG,KAAG,YAAY,MAAM,OAAO,KAAK,WAAW;AAC5C,MAAI,GAAG,WAAW;AAChB,UAAM,WAAqB,OAAO,OAAO,MAAM,OAAO,SAAS,IAAI,CAAC,YAAY,QAAQ;AACxF,QAAI,SAAS,SAAS,qBAAqB,SAAS,SAAS;AAAoB,YAAM,QAAQ,MAAM;AACrG,QAAI,MAAM,QAAQ,KAAK,CAAC,SAAS,SAAS,qBAAqB,CAAC,SAAS,SAAS;AAAoB,YAAM,MAAM,MAAM;AACxH,OAAG,gBAAgB,GAAG,iBAAkB,MAAM,MAAM,MAAM,QAAQ,QAAQ,YAAY,MAAM,MAAM,MAAM,QAAQ,QAAQ;AACxH,QAAI,GAAG,iBAAiB,MAAM,SAAS;AAAG,YAAM,OAAO,KAAK,MAAM,MAAM,MAAM,MAAM;AACpF,OAAG,eAAe,SAAS,SAAS,oBAAoB,SAAS,SAAS;AAC1E,OAAG,iBAAkB,OAAM,OAAO,KAAK,GAAG,YAAY,KAAK,QAAQ,iBAAkB,OAAM,OAAO,KAAK,GAAG,aAAa,KAAK,QAAQ,iBAAkB,OAAM,OAAO,KAAK,GAAG,eAAe,KAAK,QAAQ;AACvM,OAAG,iBAAkB,OAAM,OAAO,KAAK,GAAG,QAAQ,KAAK,QAAQ;AAC/D,OAAG,gBAAiB,OAAM,OAAO,KAAK,GAAG,QAAQ,KAAK,QAAQ;AAC9D,OAAG,WAAW,MAAM,OAAO,KAAK,GAAG,IAAI,MAAM,QAAQ,WAAW,MAAM,OAAO,KAAK,GAAG,IAAI,MAAM,QAAQ;AAAA;AAEzG,cAAY;AACZ,MAAI,SAAS;AACX,QAAI,MAAM;AACV,WAAO,MAAM,OAAO,KAAK;AAAA;AAE3B,MAAI,GAAG,YAAY,QAAQ,SAAS;AAClC,QAAI,MAAM;AACV,WAAO,MAAM,OAAO,KAAK;AAAA,SACpB;AACL,OAAG,YAAY,KAAK,MAAM,MAAM,QAAQ;AACxC,WAAO,IAAI,QAAQ,CAAC,YAAY;AAC9B,iBAAW,YAAY;AACrB,cAAM,MAAM,MAAM;AAClB,YAAI;AAAK,kBAAQ,MAAM,OAAO,KAAK;AAAA,SAClC;AAAA;AAAA;AAAA;AAKT,6BAA6B;AAlK7B;AAmKE,MAAI,IAAI,KAAK,MAAM,SAAS,GAAG;AAC7B,UAAM,QAAQ,UAAI,OAAO,WAAW,UAAtB,mBAA6B,aAAa,GAAG,GAAG,IAAI,OAAO,OAAO,IAAI,OAAO;AAC3F,UAAM,MAAM,EAAE,IAAI,GAAG,MAAM,IAAI,KAAK,OAAO,YAAY,KAAK,WAAuB;AACnF,UAAM,AAAQ,KAAK;AACnB,SAAI,sBAAsB,IAAI;AAC9B,QAAG,KAAK;AAAA,SACH;AACL,SAAI;AAAA;AAAA;AAIR,8BAA8B;AAC5B,MAAI,QAAQ,KAAK,GAAG;AAClB,UAAM,AAAQ,OAAO;AAAA;AAAA;AAIzB,4BAA4B;AApL5B;AAqLE,YAAI,OAAO,WAAW,UAAtB,mBAA6B,UAAU,GAAG,GAAG,QAAQ,SAAS,QAAQ;AACtE,MAAI,CAAC,QAAQ,CAAC,KAAK,UAAU,CAAC,KAAK;AAAW,WAAO;AACrD,QAAM,GAAG,QAAQ,SAAS,KAAK,QAAiC,IAAI;AACpE,QAAM,cAAc,IAAG,IAAI,CAAC,QAAQ,IAAI;AACxC,QAAM,MAAM,MAAM,MAAM,MAAM,KAAK,WAAW;AAC9C,MAAI,IAAI,UAAU,IAAI;AACpB,SAAI;AACJ,QAAI,OAAO,MAAM,UAAU;AAC3B,QAAI,OAAO,MAAM,UAAU;AAAA,SACtB;AACL,cAAU,IAAG,IAAI;AACjB,SAAI,eAAe,QAAQ,cAAc,QAAQ,oBAAoB,KAAK,MAAM,MAAO,IAAI,cAAc;AACzG,QAAI,OAAO,MAAM,UAAU;AAC3B,QAAI,KAAK,QAAQ,QAAQ;AACzB,QAAI,OAAO,MAAM,UAAU;AAC3B,cAAI,OAAO,WAAW,UAAtB,mBAA6B,aAAa,QAAQ,OAAO,GAAG;AAAA;AAE9D,SAAO,IAAI,aAAa,QAAQ;AAAA;AAGlC,sBAAsB;AAzMtB;AA0ME,KAAG,YAAY;AACf,KAAG,iBAAiB;AACpB,KAAG,eAAe;AAClB,KAAG,gBAAgB;AACnB,KAAG,WAAW;AACd,KAAG,iBAAiB;AACpB,KAAG,gBAAgB;AACnB,KAAG,YAAY;AACf,MAAI,MAAM,MAAM,UAAU;AAC1B,MAAI,MAAM,MAAM,UAAU;AAC1B,WAAS,KAAK,MAAM,aAAa;AACjC,QAAM;AACN,QAAM;AACN,cAAY,MAAM;AAClB,SAAO,MAAM;AACb,MAAI,IAAI,MAAM,UAAU;AACxB,MAAI,OAAO,QAAQ,oCAAM,WAAN,mBAAc,MAAM,OAAM,QAAQ;AACrD,MAAI,OAAO,SAAS,oCAAM,WAAN,mBAAc,MAAM,OAAM,QAAQ;AACtD,MAAI,OAAO,QAAQ,IAAI,OAAO;AAC9B,MAAI,OAAO,SAAS,IAAI,OAAO;AAC/B,MAAI,OAAO,MAAM,QAAQ;AACzB,MAAI,MAAM,MAAM,UAAU;AAC1B,MAAI,MAAM,MAAM,UAAU;AAC1B,MAAI,CAAC,SAAS;AACZ,SAAI;AACJ,WAAO;AAAA,SACF;AAEL,UAAM,MAAM,MAAM;AAClB,aAAS,KAAK,MAAM,aAAa,MAAM,cAAc;AACrD,WAAO;AAAA;AAAA;AAIX,sBAAsB;AACpB,OAAI,kBAAkB,MAAM,SAAS,mBAAmB,MAAM,GAAG;AACjE,OAAI,YAAY,KAAK,UAAU,SAAS,QAAQ,gBAAgB,IAAI,QAAQ,MAAM;AAClF,WAAS;AACT,QAAK,MAAM,AAAQ;AACnB,OAAI,wBAAwB,IAAG;AAC/B,QAAM;AACN,QAAM,MAAM;AACZ,WAAS;AACT,MAAI,MAAM,iBAAiB,SAAS;AACpC,MAAI,KAAK,iBAAiB,SAAS;AACnC,MAAI,OAAO,iBAAiB,SAAS;AACrC,QAAM,MAAM;AACZ,QAAM;AAAA;AAGR,OAAO,SAAS;",
+  "sourcesContent": ["/**\n * Human demo for browsers\n * @default Human Library\n * @summary \n * @author \n * @copyright \n * @license MIT\n */\n\nimport { Human, TensorLike, FaceResult } 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  modelBasePath: '../../models',\n  filter: { equalization: true }, // lets run with histogram equilizer\n  face: {\n    enabled: true,\n    detector: { rotation: true, return: true, cropFactor: 1.6, mask: false }, // return tensor is used to get detected face image\n    description: { enabled: true },\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\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: 10000, // 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  mask: humanConfig.face.detector.mask,\n  rotation: humanConfig.face.detector.rotation,\n  cropFactor: humanConfig.face.detector.cropFactor,\n};\n\nconst ok = { // must meet all rules\n  faceCount: false,\n  faceConfidence: false,\n  facingCenter: false,\n  lookingCenter: false,\n  blinkDetected: false,\n  faceSize: false,\n  antispoofCheck: false,\n  livenessCheck: false,\n  elapsedMs: 0, // total time while waiting for valid face\n};\nconst allOk = () => ok.faceCount && ok.faceSize && ok.blinkDetected && ok.facingCenter && ok.lookingCenter && ok.faceConfidence && ok.antispoofCheck && ok.livenessCheck;\nconst current: { face: 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 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\nconst fps = { detect: 0, draw: 0 }; // holds calculated fps information for both detect and screen refresh\nlet startTime = 0;\n\nconst log = (...msg) => { // helper method to output messages\n  dom.log.innerText += msg.join(' ') + '\\n';\n  // eslint-disable-next-line no-console\n  console.log(...msg);\n};\nconst printFPS = (msg) => dom.fps.innerText = msg; // print status element\n\nasync function webCam() { // initialize webcam\n  printFPS('starting 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  dom.video.play();\n  await ready;\n  dom.canvas.width = dom.video.videoWidth;\n  dom.canvas.height = dom.video.videoHeight;\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) 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 && 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    fps.detect = 1000 / (now - timestamp.detect);\n    timestamp.detect = now;\n    requestAnimationFrame(detectionLoop); // start new frame immediately\n  }\n}\n\nasync function validationLoop(): Promise { // main screen refresh loop\n  const interpolated = await human.next(human.result); // smoothen result using last-known results\n  await 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  fps.draw = 1000 / (now - timestamp.draw);\n  timestamp.draw = now;\n  printFPS(`fps: ${fps.detect.toFixed(1).padStart(5, ' ')} detect | ${fps.draw.toFixed(1).padStart(5, ' ')} draw`); // write status\n  ok.faceCount = human.result.face.length === 1; // must be exactly detected face\n  if (ok.faceCount) { // skip the rest if no face\n    const gestures: string[] = Object.values(human.result.gesture).map((gesture) => gesture.gesture); // flatten all gestures\n    if (gestures.includes('blink left eye') || gestures.includes('blink right eye')) blink.start = human.now(); // blink starts when eyes get closed\n    if (blink.start > 0 && !gestures.includes('blink left eye') && !gestures.includes('blink right eye')) blink.end = human.now(); // if blink started how long until eyes are back open\n    ok.blinkDetected = ok.blinkDetected || (Math.abs(blink.end - blink.start) > options.blinkMin && Math.abs(blink.end - blink.start) < options.blinkMax);\n    if (ok.blinkDetected && blink.time === 0) blink.time = Math.trunc(blink.end - blink.start);\n    ok.facingCenter = gestures.includes('facing center');\n    ok.lookingCenter = gestures.includes('looking center'); // must face camera and look at camera\n    ok.faceConfidence = (human.result.face[0].boxScore || 0) > options.minConfidence && (human.result.face[0].faceScore || 0) > options.minConfidence && (human.result.face[0].genderScore || 0) > options.minConfidence;\n    ok.antispoofCheck = (human.result.face[0].real || 0) > options.minConfidence;\n    ok.livenessCheck = (human.result.face[0].live || 0) > options.minConfidence;\n    ok.faceSize = human.result.face[0].box[2] >= options.minSize && human.result.face[0].box[3] >= options.minSize;\n  }\n  let y = 32;\n  for (const [key, val] of Object.entries(ok)) {\n    let el = document.getElementById(`ok-${key}`);\n    if (!el) {\n      el = document.createElement('div');\n      el.innerText = key;\n      el.className = 'ok';\n      el.style.top = `${y}px`;\n      dom.ok.appendChild(el);\n    }\n    if (typeof val === 'boolean') el.style.backgroundColor = val ? 'lightgreen' : 'lightcoral';\n    else el.innerText = `${key}:${val}`;\n    y += 28;\n  }\n  if (allOk()) { // all criteria met\n    dom.video.pause();\n    return human.result.face[0];\n  }\n  if (ok.elapsedMs > options.maxTime) { // give up\n    dom.video.pause();\n    return human.result.face[0];\n  } else { // run again\n    ok.elapsedMs = Math.trunc(human.now() - startTime);\n    return new Promise((resolve) => {\n      setTimeout(async () => {\n        const res = await validationLoop(); // run validation loop until conditions are met\n        if (res) 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}\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);\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.getContext('2d')?.clearRect(0, 0, options.minSize, options.minSize);\n  if (!current.face || !current.face.tensor || !current.face.embedding) return false;\n  human.tf.browser.toPixels(current.face.tensor as unknown as TensorLike, dom.canvas);\n  if (await indexDb.count() === 0) {\n    log('face database is empty');\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);\n  const res = await human.match(current.face.embedding, descriptors);\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 = false;\n  ok.faceConfidence = false;\n  ok.facingCenter = false;\n  ok.blinkDetected = false;\n  ok.faceSize = false;\n  ok.antispoofCheck = false;\n  ok.livenessCheck = false;\n  ok.elapsedMs = 0;\n  dom.match.style.display = 'none';\n  dom.retry.style.display = 'none';\n  dom.source.style.display = 'none';\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  } else {\n    return detectFace();\n  }\n}\n\nasync function init() {\n  log('human version:', human.version, '| tfjs version:', human.tf.version_core);\n  log('options:', JSON.stringify(options).replace(/{|}|\"|\\[|\\]/g, '').replace(/,/g, ' '));\n  printFPS('loading...');\n  log('known face records:', await indexDb.count());\n  await webCam(); // start webcam\n  await human.load(); // preload all models\n  printFPS('initializing...');\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 type FaceRecord = { id: number, name: string, descriptor: number[], image: ImageData };\n\n// eslint-disable-next-line no-console\nconst log = (...msg) => console.log('indexdb', ...msg);\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 as IDBDatabase;\n      log('open:', db);\n      resolve(true);\n    };\n  });\n}\n\nexport async function load(): Promise {\n  const faceDB: Array = [];\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;;;ACTA,IAAI;AAEJ,IAAM,WAAW;AACjB,IAAM,QAAQ;AAKd,IAAM,MAAM,IAAI,QAAQ,QAAQ,IAAI,WAAW,GAAG;AAElD,sBAA6B;AAC3B,MAAI;AAAI,WAAO;AACf,SAAO,IAAI,QAAQ,CAAC,YAAY;AAC9B,UAAM,UAA4B,UAAU,KAAK,UAAU;AAC3D,YAAQ,UAAU,CAAC,QAAQ,IAAI,UAAU;AACzC,YAAQ,kBAAkB,CAAC,QAA+B;AACxD,UAAI,WAAW,IAAI;AACnB,WAAM,IAAI,OAA4B;AACtC,SAAG,kBAAkB,OAAO,EAAE,SAAS,MAAM,eAAe;AAAA;AAE9D,YAAQ,YAAY,CAAC,QAAQ;AAC3B,WAAM,IAAI,OAA4B;AACtC,UAAI,SAAS;AACb,cAAQ;AAAA;AAAA;AAAA;AAKd,sBAAoD;AAClD,QAAM,SAA4B;AAClC,MAAI,CAAC;AAAI,UAAM;AACf,SAAO,IAAI,QAAQ,CAAC,YAAY;AAC9B,UAAM,SAAqB,GAAG,YAAY,CAAC,QAAQ,aAAa,YAAY,OAAO,WAAW,MAAM;AACpG,WAAO,UAAU,CAAC,QAAQ,IAAI,eAAe;AAC7C,WAAO,YAAY,CAAC,QAAQ;AAC1B,UAAK,IAAI,OAAsB,QAAQ;AACrC,eAAO,KAAM,IAAI,OAAsB,OAAO;AAC9C,QAAC,IAAI,OAAsB,OAAO;AAAA,aAC7B;AACL,gBAAQ;AAAA;AAAA;AAAA;AAAA;AAMhB,uBAA+C;AAC7C,MAAI,CAAC;AAAI,UAAM;AACf,SAAO,IAAI,QAAQ,CAAC,YAAY;AAC9B,UAAM,QAAoB,GAAG,YAAY,CAAC,QAAQ,aAAa,YAAY,OAAO;AAClF,UAAM,UAAU,CAAC,QAAQ,IAAI,gBAAgB;AAC7C,UAAM,YAAY,MAAM,QAAQ,MAAM;AAAA;AAAA;AAI1C,oBAA2B,YAAwB;AACjD,MAAI,CAAC;AAAI,UAAM;AACf,QAAM,YAAY,EAAE,MAAM,WAAW,MAAM,YAAY,WAAW,YAAY,OAAO,WAAW;AAChG,KAAG,YAAY,CAAC,QAAQ,aAAa,YAAY,OAAO,IAAI;AAC5D,MAAI,SAAS;AAAA;AAGf,sBAA6B,YAAwB;AACnD,MAAI,CAAC;AAAI,UAAM;AACf,KAAG,YAAY,CAAC,QAAQ,aAAa,YAAY,OAAO,OAAO,WAAW;AAC1E,MAAI,WAAW;AAAA;;;ADhEjB,AAYA,IAAM,cAAc;AAAA,EAClB,eAAe;AAAA,EACf,QAAQ,EAAE,cAAc;AAAA,EACxB,MAAM;AAAA,IACJ,SAAS;AAAA,IACT,UAAU,EAAE,UAAU,MAAM,QAAQ,MAAM,YAAY,KAAK,MAAM;AAAA,IACjE,aAAa,EAAE,SAAS;AAAA,IACxB,MAAM,EAAE,SAAS;AAAA,IACjB,SAAS,EAAE,SAAS;AAAA,IACpB,WAAW,EAAE,SAAS;AAAA,IACtB,UAAU,EAAE,SAAS;AAAA;AAAA,EAEvB,MAAM,EAAE,SAAS;AAAA,EACjB,MAAM,EAAE,SAAS;AAAA,EACjB,QAAQ,EAAE,SAAS;AAAA,EACnB,SAAS,EAAE,SAAS;AAAA;AAGtB,IAAM,UAAU;AAAA,EACd,eAAe;AAAA,EACf,SAAS;AAAA,EACT,SAAS;AAAA,EACT,UAAU;AAAA,EACV,UAAU;AAAA,EACV,WAAW;AAAA,EACX,MAAM,YAAY,KAAK,SAAS;AAAA,EAChC,UAAU,YAAY,KAAK,SAAS;AAAA,EACpC,YAAY,YAAY,KAAK,SAAS;AAAA;AAGxC,IAAM,KAAK;AAAA,EACT,WAAW;AAAA,EACX,gBAAgB;AAAA,EAChB,cAAc;AAAA,EACd,eAAe;AAAA,EACf,eAAe;AAAA,EACf,UAAU;AAAA,EACV,gBAAgB;AAAA,EAChB,eAAe;AAAA,EACf,WAAW;AAAA;AAEb,IAAM,QAAQ,MAAM,GAAG,aAAa,GAAG,YAAY,GAAG,iBAAiB,GAAG,gBAAgB,GAAG,iBAAiB,GAAG,kBAAkB,GAAG,kBAAkB,GAAG;AAC3J,IAAM,UAA0E,EAAE,MAAM,MAAM,QAAQ;AAEtG,IAAM,QAAQ;AAAA,EACZ,OAAO;AAAA,EACP,KAAK;AAAA,EACL,MAAM;AAAA;AAIR,IAAM,QAAQ,IAAI,MAAM;AAExB,MAAM,IAAI,aAAa;AACvB,MAAM,KAAK,QAAQ,OAAO;AAC1B,MAAM,KAAK,QAAQ,aAAa;AAEhC,IAAM,MAAM;AAAA,EACV,OAAO,SAAS,eAAe;AAAA,EAC/B,QAAQ,SAAS,eAAe;AAAA,EAChC,KAAK,SAAS,eAAe;AAAA,EAC7B,KAAK,SAAS,eAAe;AAAA,EAC7B,OAAO,SAAS,eAAe;AAAA,EAC/B,MAAM,SAAS,eAAe;AAAA,EAC9B,MAAM,SAAS,eAAe;AAAA,EAC9B,QAAQ,SAAS,eAAe;AAAA,EAChC,OAAO,SAAS,eAAe;AAAA,EAC/B,QAAQ,SAAS,eAAe;AAAA,EAChC,IAAI,SAAS,eAAe;AAAA;AAE9B,IAAM,YAAY,EAAE,QAAQ,GAAG,MAAM;AACrC,IAAM,MAAM,EAAE,QAAQ,GAAG,MAAM;AAC/B,IAAI,YAAY;AAEhB,IAAM,OAAM,IAAI,QAAQ;AACtB,MAAI,IAAI,aAAa,IAAI,KAAK,OAAO;AAErC,UAAQ,IAAI,GAAG;AAAA;AAEjB,IAAM,WAAW,CAAC,QAAQ,IAAI,IAAI,YAAY;AAE9C,wBAAwB;AACtB,WAAS;AAET,QAAM,gBAAwC,EAAE,OAAO,OAAO,OAAO,EAAE,YAAY,QAAQ,YAAY,QAAQ,OAAO,EAAE,OAAO,SAAS,KAAK;AAC7I,QAAM,SAAsB,MAAM,UAAU,aAAa,aAAa;AACtE,QAAM,QAAQ,IAAI,QAAQ,CAAC,YAAY;AAAE,QAAI,MAAM,eAAe,MAAM,QAAQ;AAAA;AAChF,MAAI,MAAM,YAAY;AACtB,MAAI,MAAM;AACV,QAAM;AACN,MAAI,OAAO,QAAQ,IAAI,MAAM;AAC7B,MAAI,OAAO,SAAS,IAAI,MAAM;AAC9B,MAAI,MAAM,IAAI;AAAS,SAAI,UAAU,IAAI,MAAM,YAAY,IAAI,MAAM,aAAa,KAAK,OAAO,iBAAiB,GAAG;AAClH,MAAI,OAAO,UAAU,MAAM;AACzB,QAAI,IAAI,MAAM;AAAQ,UAAI,MAAM;AAAA;AAC3B,UAAI,MAAM;AAAA;AAAA;AAInB,+BAA+B;AAC7B,MAAI,CAAC,IAAI,MAAM,QAAQ;AACrB,QAAI,QAAQ,QAAQ,QAAQ,KAAK;AAAQ,YAAM,GAAG,QAAQ,QAAQ,KAAK;AACvE,UAAM,MAAM,OAAO,IAAI;AACvB,UAAM,MAAM,MAAM;AAClB,QAAI,SAAS,MAAQ,OAAM,UAAU;AACrC,cAAU,SAAS;AACnB,0BAAsB;AAAA;AAAA;AAI1B,gCAAqD;AACnD,QAAM,eAAe,MAAM,MAAM,KAAK,MAAM;AAC5C,QAAM,MAAM,KAAK,OAAO,IAAI,OAAO,IAAI;AACvC,QAAM,MAAM,KAAK,IAAI,IAAI,QAAQ;AACjC,QAAM,MAAM,MAAM;AAClB,MAAI,OAAO,MAAQ,OAAM,UAAU;AACnC,YAAU,OAAO;AACjB,WAAS,QAAQ,IAAI,OAAO,QAAQ,GAAG,SAAS,GAAG,iBAAiB,IAAI,KAAK,QAAQ,GAAG,SAAS,GAAG;AACpG,KAAG,YAAY,MAAM,OAAO,KAAK,WAAW;AAC5C,MAAI,GAAG,WAAW;AAChB,UAAM,WAAqB,OAAO,OAAO,MAAM,OAAO,SAAS,IAAI,CAAC,YAAY,QAAQ;AACxF,QAAI,SAAS,SAAS,qBAAqB,SAAS,SAAS;AAAoB,YAAM,QAAQ,MAAM;AACrG,QAAI,MAAM,QAAQ,KAAK,CAAC,SAAS,SAAS,qBAAqB,CAAC,SAAS,SAAS;AAAoB,YAAM,MAAM,MAAM;AACxH,OAAG,gBAAgB,GAAG,iBAAkB,KAAK,IAAI,MAAM,MAAM,MAAM,SAAS,QAAQ,YAAY,KAAK,IAAI,MAAM,MAAM,MAAM,SAAS,QAAQ;AAC5I,QAAI,GAAG,iBAAiB,MAAM,SAAS;AAAG,YAAM,OAAO,KAAK,MAAM,MAAM,MAAM,MAAM;AACpF,OAAG,eAAe,SAAS,SAAS;AACpC,OAAG,gBAAgB,SAAS,SAAS;AACrC,OAAG,iBAAkB,OAAM,OAAO,KAAK,GAAG,YAAY,KAAK,QAAQ,iBAAkB,OAAM,OAAO,KAAK,GAAG,aAAa,KAAK,QAAQ,iBAAkB,OAAM,OAAO,KAAK,GAAG,eAAe,KAAK,QAAQ;AACvM,OAAG,iBAAkB,OAAM,OAAO,KAAK,GAAG,QAAQ,KAAK,QAAQ;AAC/D,OAAG,gBAAiB,OAAM,OAAO,KAAK,GAAG,QAAQ,KAAK,QAAQ;AAC9D,OAAG,WAAW,MAAM,OAAO,KAAK,GAAG,IAAI,MAAM,QAAQ,WAAW,MAAM,OAAO,KAAK,GAAG,IAAI,MAAM,QAAQ;AAAA;AAEzG,MAAI,IAAI;AACR,aAAW,CAAC,KAAK,QAAQ,OAAO,QAAQ,KAAK;AAC3C,QAAI,KAAK,SAAS,eAAe,MAAM;AACvC,QAAI,CAAC,IAAI;AACP,WAAK,SAAS,cAAc;AAC5B,SAAG,YAAY;AACf,SAAG,YAAY;AACf,SAAG,MAAM,MAAM,GAAG;AAClB,UAAI,GAAG,YAAY;AAAA;AAErB,QAAI,OAAO,QAAQ;AAAW,SAAG,MAAM,kBAAkB,MAAM,eAAe;AAAA;AACzE,SAAG,YAAY,GAAG,OAAO;AAC9B,SAAK;AAAA;AAEP,MAAI,SAAS;AACX,QAAI,MAAM;AACV,WAAO,MAAM,OAAO,KAAK;AAAA;AAE3B,MAAI,GAAG,YAAY,QAAQ,SAAS;AAClC,QAAI,MAAM;AACV,WAAO,MAAM,OAAO,KAAK;AAAA,SACpB;AACL,OAAG,YAAY,KAAK,MAAM,MAAM,QAAQ;AACxC,WAAO,IAAI,QAAQ,CAAC,YAAY;AAC9B,iBAAW,YAAY;AACrB,cAAM,MAAM,MAAM;AAClB,YAAI;AAAK,kBAAQ,MAAM,OAAO,KAAK;AAAA,SAClC;AAAA;AAAA;AAAA;AAKT,6BAA6B;AAhL7B;AAiLE,MAAI,IAAI,KAAK,MAAM,SAAS,GAAG;AAC7B,UAAM,QAAQ,UAAI,OAAO,WAAW,UAAtB,mBAA6B,aAAa,GAAG,GAAG,IAAI,OAAO,OAAO,IAAI,OAAO;AAC3F,UAAM,MAAM,EAAE,IAAI,GAAG,MAAM,IAAI,KAAK,OAAO,YAAY,cAAQ,SAAR,mBAAc,WAAuB;AAC5F,UAAM,AAAQ,KAAK;AACnB,SAAI,sBAAsB,IAAI;AAAA,SACzB;AACL,SAAI;AAAA;AAAA;AAIR,8BAA8B;AAC5B,MAAI,QAAQ,UAAU,QAAQ,OAAO,KAAK,GAAG;AAC3C,UAAM,AAAQ,OAAO,QAAQ;AAAA;AAAA;AAIjC,4BAA4B;AAjM5B;AAkME,YAAI,OAAO,WAAW,UAAtB,mBAA6B,UAAU,GAAG,GAAG,QAAQ,SAAS,QAAQ;AACtE,MAAI,CAAC,QAAQ,QAAQ,CAAC,QAAQ,KAAK,UAAU,CAAC,QAAQ,KAAK;AAAW,WAAO;AAC7E,QAAM,GAAG,QAAQ,SAAS,QAAQ,KAAK,QAAiC,IAAI;AAC5E,MAAI,MAAM,AAAQ,YAAY,GAAG;AAC/B,SAAI;AACJ,aAAS,KAAK,MAAM,aAAa;AACjC,QAAI,OAAO,MAAM,UAAU;AAC3B,WAAO;AAAA;AAET,QAAM,MAAK,MAAM,AAAQ;AACzB,QAAM,cAAc,IAAG,IAAI,CAAC,QAAQ,IAAI;AACxC,QAAM,MAAM,MAAM,MAAM,MAAM,QAAQ,KAAK,WAAW;AACtD,UAAQ,SAAS,IAAG,IAAI,UAAU;AAClC,MAAI,QAAQ,QAAQ;AAClB,SAAI,eAAe,QAAQ,OAAO,cAAc,QAAQ,OAAO,oBAAoB,KAAK,MAAM,MAAO,IAAI,cAAc;AACvH,QAAI,KAAK,QAAQ,QAAQ,OAAO;AAChC,QAAI,OAAO,MAAM,UAAU;AAC3B,cAAI,OAAO,WAAW,UAAtB,mBAA6B,aAAa,QAAQ,OAAO,OAAO,GAAG;AAAA;AAErE,WAAS,KAAK,MAAM,aAAa,IAAI,aAAa,QAAQ,YAAY,cAAc;AACpF,SAAO,IAAI,aAAa,QAAQ;AAAA;AAGlC,sBAAsB;AAzNtB;AA0NE,KAAG,YAAY;AACf,KAAG,iBAAiB;AACpB,KAAG,eAAe;AAClB,KAAG,gBAAgB;AACnB,KAAG,WAAW;AACd,KAAG,iBAAiB;AACpB,KAAG,gBAAgB;AACnB,KAAG,YAAY;AACf,MAAI,MAAM,MAAM,UAAU;AAC1B,MAAI,MAAM,MAAM,UAAU;AAC1B,MAAI,OAAO,MAAM,UAAU;AAC3B,WAAS,KAAK,MAAM,aAAa;AACjC,QAAM;AACN,QAAM;AACN,cAAY,MAAM;AAClB,UAAQ,OAAO,MAAM;AACrB,MAAI,OAAO,QAAQ,qBAAQ,SAAR,mBAAc,WAAd,mBAAsB,MAAM,OAAM,QAAQ;AAC7D,MAAI,OAAO,SAAS,qBAAQ,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,SAAS;AACZ,SAAI;AACJ,WAAO;AAAA,SACF;AACL,WAAO;AAAA;AAAA;AAIX,sBAAsB;AACpB,OAAI,kBAAkB,MAAM,SAAS,mBAAmB,MAAM,GAAG;AACjE,OAAI,YAAY,KAAK,UAAU,SAAS,QAAQ,gBAAgB,IAAI,QAAQ,MAAM;AAClF,WAAS;AACT,OAAI,uBAAuB,MAAM,AAAQ;AACzC,QAAM;AACN,QAAM,MAAM;AACZ,WAAS;AACT,MAAI,MAAM,iBAAiB,SAAS;AACpC,MAAI,KAAK,iBAAiB,SAAS;AACnC,MAAI,OAAO,iBAAiB,SAAS;AACrC,QAAM,MAAM;AACZ,QAAM;AAAA;AAGR,OAAO,SAAS;",
   "names": []
 }
diff --git a/demo/faceid/index.ts b/demo/faceid/index.ts
index c4311b0b..2ea9b5c8 100644
--- a/demo/faceid/index.ts
+++ b/demo/faceid/index.ts
@@ -10,16 +10,12 @@
 import { Human, TensorLike, FaceResult } from '../../dist/human.esm.js'; // equivalent of @vladmandic/Human
 import * as indexDb from './indexdb'; // methods to deal with indexdb
 
-let db: Array = []; // face descriptor database stored in indexdb
-let face: FaceResult; // face result from human.detect
-let current: indexDb.FaceRecord; // currently matched db record
-
 const humanConfig = { // user configuration for human, used to fine-tune behavior
   modelBasePath: '../../models',
   filter: { equalization: true }, // lets run with histogram equilizer
   face: {
     enabled: true,
-    detector: { rotation: true, return: true }, // return tensor is used to get detected face image
+    detector: { rotation: true, return: true, cropFactor: 1.6, mask: false }, // return tensor is used to get detected face image
     description: { enabled: true },
     iris: { enabled: true }, // needed to determine gaze direction
     emotion: { enabled: false }, // not needed
@@ -39,19 +35,24 @@ const options = {
   blinkMin: 10, // minimum duration of a valid blink
   blinkMax: 800, // maximum duration of a valid blink
   threshold: 0.5, // minimum similarity
+  mask: humanConfig.face.detector.mask,
+  rotation: humanConfig.face.detector.rotation,
+  cropFactor: humanConfig.face.detector.cropFactor,
 };
 
 const ok = { // must meet all rules
   faceCount: false,
   faceConfidence: false,
   facingCenter: false,
+  lookingCenter: false,
   blinkDetected: false,
   faceSize: false,
   antispoofCheck: false,
   livenessCheck: false,
   elapsedMs: 0, // total time while waiting for valid face
 };
-const allOk = () => ok.faceCount && ok.faceSize && ok.blinkDetected && ok.facingCenter && ok.faceConfidence && ok.antispoofCheck && ok.livenessCheck;
+const allOk = () => ok.faceCount && ok.faceSize && ok.blinkDetected && ok.facingCenter && ok.lookingCenter && ok.faceConfidence && ok.antispoofCheck && ok.livenessCheck;
+const current: { face: FaceResult | null, record: indexDb.FaceRecord | null } = { face: null, record: null }; // current face record and matched database record
 
 const blink = { // internal timers for blink start/end/duration
   start: 0,
@@ -71,13 +72,13 @@ const dom = { // grab instances of dom objects so we dont have to look them up l
   canvas: document.getElementById('canvas') as HTMLCanvasElement,
   log: document.getElementById('log') as HTMLPreElement,
   fps: document.getElementById('fps') as HTMLPreElement,
-  status: document.getElementById('status') as HTMLPreElement,
   match: document.getElementById('match') as HTMLDivElement,
   name: document.getElementById('name') as HTMLInputElement,
   save: document.getElementById('save') as HTMLSpanElement,
   delete: document.getElementById('delete') as HTMLSpanElement,
   retry: document.getElementById('retry') as HTMLDivElement,
   source: document.getElementById('source') as HTMLCanvasElement,
+  ok: document.getElementById('ok') as HTMLDivElement,
 };
 const timestamp = { detect: 0, draw: 0 }; // holds information used to calculate performance and possible memory leaks
 const fps = { detect: 0, draw: 0 }; // holds calculated fps information for both detect and screen refresh
@@ -89,7 +90,6 @@ const log = (...msg) => { // helper method to output messages
   console.log(...msg);
 };
 const printFPS = (msg) => dom.fps.innerText = msg; // print status element
-const printStatus = (msg) => dom.status.innerText = 'status: ' + JSON.stringify(msg).replace(/"|{|}/g, '').replace(/,/g, ' | '); // print status element
 
 async function webCam() { // initialize webcam
   printFPS('starting webcam...');
@@ -111,7 +111,7 @@ async function webCam() { // initialize webcam
 
 async function detectionLoop() { // main detection loop
   if (!dom.video.paused) {
-    if (face && face.tensor) human.tf.dispose(face.tensor); // dispose previous tensor
+    if (current.face && current.face.tensor) human.tf.dispose(current.face.tensor); // dispose previous tensor
     await human.detect(dom.video); // actual detection; were not capturing output in a local variable as it can also be reached via human.result
     const now = human.now();
     fps.detect = 1000 / (now - timestamp.detect);
@@ -133,15 +133,29 @@ async function validationLoop(): Promise { // main screen refresh lo
     const gestures: string[] = Object.values(human.result.gesture).map((gesture) => gesture.gesture); // flatten all gestures
     if (gestures.includes('blink left eye') || gestures.includes('blink right eye')) blink.start = human.now(); // blink starts when eyes get closed
     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
-    ok.blinkDetected = ok.blinkDetected || (blink.end - blink.start > options.blinkMin && blink.end - blink.start < options.blinkMax);
+    ok.blinkDetected = ok.blinkDetected || (Math.abs(blink.end - blink.start) > options.blinkMin && Math.abs(blink.end - blink.start) < options.blinkMax);
     if (ok.blinkDetected && blink.time === 0) blink.time = Math.trunc(blink.end - blink.start);
-    ok.facingCenter = gestures.includes('facing center') && gestures.includes('looking center'); // must face camera and look at camera
+    ok.facingCenter = gestures.includes('facing center');
+    ok.lookingCenter = gestures.includes('looking center'); // must face camera and look at camera
     ok.faceConfidence = (human.result.face[0].boxScore || 0) > options.minConfidence && (human.result.face[0].faceScore || 0) > options.minConfidence && (human.result.face[0].genderScore || 0) > options.minConfidence;
     ok.antispoofCheck = (human.result.face[0].real || 0) > options.minConfidence;
     ok.livenessCheck = (human.result.face[0].live || 0) > options.minConfidence;
     ok.faceSize = human.result.face[0].box[2] >= options.minSize && human.result.face[0].box[3] >= options.minSize;
   }
-  printStatus(ok);
+  let y = 32;
+  for (const [key, val] of Object.entries(ok)) {
+    let el = document.getElementById(`ok-${key}`);
+    if (!el) {
+      el = document.createElement('div');
+      el.innerText = key;
+      el.className = 'ok';
+      el.style.top = `${y}px`;
+      dom.ok.appendChild(el);
+    }
+    if (typeof val === 'boolean') el.style.backgroundColor = val ? 'lightgreen' : 'lightcoral';
+    else el.innerText = `${key}:${val}`;
+    y += 28;
+  }
   if (allOk()) { // all criteria met
     dom.video.pause();
     return human.result.face[0];
@@ -163,39 +177,41 @@ async function validationLoop(): Promise { // main screen refresh lo
 async function saveRecords() {
   if (dom.name.value.length > 0) {
     const image = dom.canvas.getContext('2d')?.getImageData(0, 0, dom.canvas.width, dom.canvas.height) as ImageData;
-    const rec = { id: 0, name: dom.name.value, descriptor: face.embedding as number[], image };
+    const rec = { id: 0, name: dom.name.value, descriptor: current.face?.embedding as number[], image };
     await indexDb.save(rec);
     log('saved face record:', rec.name);
-    db.push(rec);
   } else {
     log('invalid name');
   }
 }
 
 async function deleteRecord() {
-  if (current.id > 0) {
-    await indexDb.remove(current);
+  if (current.record && current.record.id > 0) {
+    await indexDb.remove(current.record);
   }
 }
 
 async function detectFace() {
   dom.canvas.getContext('2d')?.clearRect(0, 0, options.minSize, options.minSize);
-  if (!face || !face.tensor || !face.embedding) return 0;
-  human.tf.browser.toPixels(face.tensor as unknown as TensorLike, dom.canvas);
-  const descriptors = db.map((rec) => rec.descriptor);
-  const res = await human.match(face.embedding, descriptors);
-  if (res.index === -1) {
-    log('no matches');
+  if (!current.face || !current.face.tensor || !current.face.embedding) return false;
+  human.tf.browser.toPixels(current.face.tensor as unknown as TensorLike, dom.canvas);
+  if (await indexDb.count() === 0) {
+    log('face database is empty');
+    document.body.style.background = 'black';
     dom.delete.style.display = 'none';
-    dom.source.style.display = 'none';
-  } else {
-    current = db[res.index];
-    log(`best match: ${current.name} | id: ${current.id} | similarity: ${Math.round(1000 * res.similarity) / 10}%`);
-    dom.delete.style.display = '';
-    dom.name.value = current.name;
-    dom.source.style.display = '';
-    dom.source.getContext('2d')?.putImageData(current.image, 0, 0);
+    return false;
   }
+  const db = await indexDb.load();
+  const descriptors = db.map((rec) => rec.descriptor);
+  const res = await human.match(current.face.embedding, descriptors);
+  current.record = db[res.index] || null;
+  if (current.record) {
+    log(`best match: ${current.record.name} | id: ${current.record.id} | similarity: ${Math.round(1000 * res.similarity) / 10}%`);
+    dom.name.value = current.record.name;
+    dom.source.style.display = '';
+    dom.source.getContext('2d')?.putImageData(current.record.image, 0, 0);
+  }
+  document.body.style.background = res.similarity > options.threshold ? 'darkgreen' : 'maroon';
   return res.similarity > options.threshold;
 }
 
@@ -210,27 +226,26 @@ async function main() { // main entry point
   ok.elapsedMs = 0;
   dom.match.style.display = 'none';
   dom.retry.style.display = 'none';
+  dom.source.style.display = 'none';
   document.body.style.background = 'black';
   await webCam();
   await detectionLoop(); // start detection loop
   startTime = human.now();
-  face = await validationLoop(); // start validation loop
-  dom.fps.style.display = 'none';
-  dom.canvas.width = face?.tensor?.shape[1] || options.minSize;
-  dom.canvas.height = face?.tensor?.shape[0] || options.minSize;
+  current.face = await validationLoop(); // start validation loop
+  dom.canvas.width = current.face?.tensor?.shape[1] || options.minSize;
+  dom.canvas.height = current.face?.tensor?.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()) {
+  if (!allOk()) { // is all criteria met?
     log('did not find valid face');
     return false;
   } else {
-    // log('found valid face');
-    const res = await detectFace();
-    document.body.style.background = res ? 'darkgreen' : 'maroon';
-    return res;
+    return detectFace();
   }
 }
 
@@ -238,8 +253,7 @@ async function init() {
   log('human version:', human.version, '| tfjs version:', human.tf.version_core);
   log('options:', JSON.stringify(options).replace(/{|}|"|\[|\]/g, '').replace(/,/g, ' '));
   printFPS('loading...');
-  db = await indexDb.load(); // load face database from indexdb
-  log('loaded face records:', db.length);
+  log('known face records:', await indexDb.count());
   await webCam(); // start webcam
   await human.load(); // preload all models
   printFPS('initializing...');
diff --git a/demo/faceid/indexdb.ts b/demo/faceid/indexdb.ts
index 6757366a..77fee852 100644
--- a/demo/faceid/indexdb.ts
+++ b/demo/faceid/indexdb.ts
@@ -43,6 +43,15 @@ export async function load(): Promise {
   });
 }
 
+export async function count(): Promise {
+  if (!db) await open(); // open or create if not already done
+  return new Promise((resolve) => {
+    const store: IDBRequest = db.transaction([table], 'readwrite').objectStore(table).count();
+    store.onerror = (evt) => log('count error:', evt);
+    store.onsuccess = () => resolve(store.result);
+  });
+}
+
 export async function save(faceRecord: FaceRecord) {
   if (!db) await open(); // open or create if not already done
   const newRecord = { name: faceRecord.name, descriptor: faceRecord.descriptor, image: faceRecord.image }; // omit id as its autoincrement
diff --git a/demo/facematch/facematch.js b/demo/facematch/facematch.js
index 3338eca7..b7945963 100644
--- a/demo/facematch/facematch.js
+++ b/demo/facematch/facematch.js
@@ -135,12 +135,10 @@ async function SelectFaceCanvas(face) {
   title('Selected Face');
 }
 
-function AddFaceCanvas(index, res, fileName) {
+async function AddFaceCanvas(index, res, fileName) {
   all[index] = res.face;
-  let ok = false;
   for (const i in res.face) {
-    if (res.face[i].mesh.length === 0) continue;
-    ok = true;
+    if (res.face[i].mesh.length === 0 || !res.face[i].tensor) continue; // did not get valid results
     all[index][i].fileName = fileName;
     const canvas = document.createElement('canvas');
     canvas.tag = { sample: index, face: i, source: fileName };
@@ -155,27 +153,22 @@ function AddFaceCanvas(index, res, fileName) {
       gender: ${Math.round(100 * res.face[i].genderScore)}% ${res.face[i].gender}
       emotion: ${emotion}
     `.replace(/  /g, ' ');
-    // mouse click on any face canvas triggers analysis
+    await human.tf.browser.toPixels(res.face[i].tensor, canvas);
+    const ctx = canvas.getContext('2d');
+    if (!ctx) return false;
+    ctx.font = 'small-caps 0.8rem "Lato"';
+    ctx.fillStyle = 'rgba(255, 255, 255, 1)';
+    ctx.fillText(`${res.face[i].age}y ${(100 * (res.face[i].genderScore || 0)).toFixed(1)}% ${res.face[i].gender}`, 4, canvas.height - 6);
+    const arr = db.map((rec) => rec.embedding);
+    const result = human.match(res.face[i].embedding, arr);
+    ctx.font = 'small-caps 1rem "Lato"';
+    if (result.similarity && res.similarity > minScore) ctx.fillText(`${(100 * result.similarity).toFixed(1)}% ${db[result.index].name}`, 4, canvas.height - 30);
+    document.getElementById('faces').appendChild(canvas);
     canvas.addEventListener('click', (evt) => {
       log('Select:', 'Image:', evt.target.tag.sample, 'Face:', evt.target.tag.face, 'Source:', evt.target.tag.source, all[evt.target.tag.sample][evt.target.tag.face]);
       SelectFaceCanvas(all[evt.target.tag.sample][evt.target.tag.face]);
     });
-    // if we actually got face image tensor, draw canvas with that face
-    if (res.face[i].tensor) {
-      human.tf.browser.toPixels(res.face[i].tensor, canvas);
-      document.getElementById('faces').appendChild(canvas);
-      const ctx = canvas.getContext('2d');
-      if (!ctx) return false;
-      ctx.font = 'small-caps 0.8rem "Lato"';
-      ctx.fillStyle = 'rgba(255, 255, 255, 1)';
-      ctx.fillText(`${res.face[i].age}y ${(100 * (res.face[i].genderScore || 0)).toFixed(1)}% ${res.face[i].gender}`, 4, canvas.height - 6);
-      const arr = db.map((rec) => rec.embedding);
-      const result = human.match(res.face[i].embedding, arr);
-      ctx.font = 'small-caps 1rem "Lato"';
-      if (result.similarity && res.similarity > minScore) ctx.fillText(`${(100 * result.similarity).toFixed(1)}% ${db[result.index].name}`, 4, canvas.height - 30);
-    }
   }
-  return ok;
 }
 
 async function AddImageElement(index, image, length) {
@@ -185,8 +178,8 @@ async function AddImageElement(index, image, length) {
     const img = new Image(128, 128);
     img.onload = () => { // must wait until image is loaded
       human.detect(img, userConfig).then((res) => {
-        const ok = AddFaceCanvas(index, res, image); // then wait until image is analyzed
-        if (ok) document.getElementById('images').appendChild(img); // and finally we can add it
+        AddFaceCanvas(index, res, image); // then wait until image is analyzed
+        document.getElementById('images').appendChild(img); // and finally we can add it
         resolve(true);
       });
     };
diff --git a/dist/human.esm-nobundle.js b/dist/human.esm-nobundle.js
index e31b0dd1..999c1b9a 100644
--- a/dist/human.esm-nobundle.js
+++ b/dist/human.esm-nobundle.js
@@ -152,6 +152,8 @@ var config = {
       skipTime: 2500,
       minConfidence: 0.2,
       iouThreshold: 0.1,
+      cropFactor: 1.6,
+      mask: false,
       return: false
     },
     mesh: {
@@ -5631,9 +5633,8 @@ var model8 = null;
 var inputSize5 = 0;
 var skipped7 = Number.MAX_SAFE_INTEGER;
 var lastTime6 = 0;
-var enlargeFact = 1.6;
 async function predict6(input, config3) {
-  var _a, _b, _c, _d, _e, _f, _g, _h;
+  var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k;
   const skipTime = (((_a = config3.face.detector) == null ? void 0 : _a.skipTime) || 0) > now() - lastTime6;
   const skipFrame = skipped7 < (((_b = config3.face.detector) == null ? void 0 : _b.skipFrames) || 0);
   if (!config3.skipAllowed || !skipTime || !skipFrame || boxCache.length === 0) {
@@ -5647,7 +5648,7 @@ async function predict6(input, config3) {
         landmarks: possible.landmarks,
         confidence: possible.confidence
       };
-      boxCache.push(squarifyBox(enlargeBox(scaleBoxCoordinates(box4, possibleBoxes.scaleFactor), Math.sqrt(enlargeFact))));
+      boxCache.push(squarifyBox(enlargeBox(scaleBoxCoordinates(box4, possibleBoxes.scaleFactor), Math.sqrt(((_c = config3.face.detector) == null ? void 0 : _c.cropFactor) || 1.6))));
     }
     skipped7 = 0;
   } else {
@@ -5671,14 +5672,14 @@ async function predict6(input, config3) {
       faceScore: 0,
       annotations: {}
     };
-    [angle, rotationMatrix, face5.tensor] = correctFaceRotation(false, box4, input, inputSize5);
-    if ((_d = config3 == null ? void 0 : config3.filter) == null ? void 0 : _d.equalization) {
+    [angle, rotationMatrix, face5.tensor] = correctFaceRotation(false, box4, input, ((_e = config3.face.mesh) == null ? void 0 : _e.enabled) ? inputSize5 : size());
+    if ((_f = config3 == null ? void 0 : config3.filter) == null ? void 0 : _f.equalization) {
       const equilized = await histogramEqualization(face5.tensor);
       tfjs_esm_exports.dispose(face5.tensor);
       face5.tensor = equilized;
     }
     face5.boxScore = Math.round(100 * box4.confidence) / 100;
-    if (!((_e = config3.face.mesh) == null ? void 0 : _e.enabled)) {
+    if (!((_g = config3.face.mesh) == null ? void 0 : _g.enabled)) {
       face5.box = getClampedBox(box4, input);
       face5.boxRaw = getRawBox(box4, input);
       face5.score = face5.boxScore;
@@ -5699,22 +5700,22 @@ async function predict6(input, config3) {
       const coordsReshaped = tfjs_esm_exports.reshape(contourCoords, [-1, 3]);
       let rawCoords = await coordsReshaped.array();
       tfjs_esm_exports.dispose([contourCoords, coordsReshaped, confidence, contours]);
-      if (face5.faceScore < (((_f = config3.face.detector) == null ? void 0 : _f.minConfidence) || 1)) {
+      if (face5.faceScore < (((_h = config3.face.detector) == null ? void 0 : _h.minConfidence) || 1)) {
         box4.confidence = face5.faceScore;
       } else {
-        if ((_g = config3.face.iris) == null ? void 0 : _g.enabled)
+        if ((_i = config3.face.iris) == null ? void 0 : _i.enabled)
           rawCoords = await augmentIris(rawCoords, face5.tensor, config3, inputSize5);
         face5.mesh = transformRawCoords(rawCoords, box4, angle, rotationMatrix, inputSize5);
         face5.meshRaw = face5.mesh.map((pt) => [pt[0] / (input.shape[2] || 0), pt[1] / (input.shape[1] || 0), (pt[2] || 0) / inputSize5]);
         for (const key of Object.keys(meshAnnotations))
           face5.annotations[key] = meshAnnotations[key].map((index2) => face5.mesh[index2]);
-        box4 = squarifyBox({ ...enlargeBox(calculateLandmarksBoundingBox(face5.mesh), enlargeFact), confidence: box4.confidence });
+        box4 = squarifyBox({ ...enlargeBox(calculateLandmarksBoundingBox(face5.mesh), ((_j = config3.face.detector) == null ? void 0 : _j.cropFactor) || 1.6), confidence: box4.confidence });
         face5.box = getClampedBox(box4, input);
         face5.boxRaw = getRawBox(box4, input);
         face5.score = face5.faceScore;
         newCache.push(box4);
         tfjs_esm_exports.dispose(face5.tensor);
-        [angle, rotationMatrix, face5.tensor] = correctFaceRotation((_h = config3.face.detector) == null ? void 0 : _h.rotation, box4, input, inputSize5);
+        [angle, rotationMatrix, face5.tensor] = correctFaceRotation((_k = config3.face.detector) == null ? void 0 : _k.rotation, box4, input, inputSize5);
       }
     }
     faces.push(face5);
@@ -10641,8 +10642,8 @@ async function process5(input, background, config3) {
   if (!model14)
     await load15(config3);
   const inputImage = await process2(input, config3);
-  const width = ((_a = inputImage.canvas) == null ? void 0 : _a.width) || 0;
-  const height = ((_b = inputImage.canvas) == null ? void 0 : _b.height) || 0;
+  const width = ((_a = inputImage.tensor) == null ? void 0 : _a.shape[2]) || 0;
+  const height = ((_b = inputImage.tensor) == null ? void 0 : _b.shape[1]) || 0;
   if (!inputImage.tensor)
     return { data: [], canvas: null, alpha: null };
   const t = {};
@@ -10699,7 +10700,7 @@ async function process5(input, background, config3) {
   }
   Object.keys(t).forEach((tensor3) => tfjs_esm_exports.dispose(t[tensor3]));
   busy = false;
-  return { data, canvas: mergedCanvas || compositeCanvas, alpha: alphaCanvas };
+  return { data, canvas: compositeCanvas, alpha: alphaCanvas };
 }
 
 // src/models.ts
@@ -11516,6 +11517,44 @@ async function all(inCanvas2, result, drawOptions) {
   return promise;
 }
 
+// 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(face5) {
+  if (!face5.tensor)
+    return face5.tensor;
+  const width = face5.tensor.shape[2] || 0;
+  const height = face5.tensor.shape[1] || 0;
+  const buffer = await face5.tensor.buffer();
+  let silhouette = [];
+  for (const pt of meshAnnotations.silhouette)
+    silhouette.push({ x: (face5.mesh[pt][0] - face5.box[0]) / face5.box[2], y: (face5.mesh[pt][1] - face5.box[1]) / face5.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();
+  tfjs_esm_exports.dispose(buffer);
+  return output;
+}
+
 // src/face/angles.ts
 var calculateGaze = (face5) => {
   const radians = (pt1, pt2) => Math.atan2(pt1[1] - pt2[1], pt1[0] - pt2[0]);
@@ -11624,7 +11663,7 @@ var calculateFaceAngle = (face5, imageSize) => {
 
 // src/face/face.ts
 var detectFace = async (parent, input) => {
-  var _a, _b, _c, _d;
+  var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m, _n, _o;
   let timeStamp;
   let ageRes;
   let gearRes;
@@ -11649,44 +11688,49 @@ var detectFace = async (parent, input) => {
       log("Face object is disposed:", faces[i].tensor);
       continue;
     }
-    const rotation = calculateFaceAngle(faces[i], [input.shape[2], input.shape[1]]);
+    if ((_a = parent.config.face.detector) == null ? void 0 : _a.mask) {
+      const masked = await mask(faces[i]);
+      tfjs_esm_exports.dispose(faces[i].tensor);
+      faces[i].tensor = masked;
+    }
+    const rotation = faces[i].mesh && faces[i].mesh.length > 200 ? calculateFaceAngle(faces[i], [input.shape[2], input.shape[1]]) : null;
     parent.analyze("Start Emotion:");
     if (parent.config.async) {
-      emotionRes = parent.config.face.emotion.enabled ? predict5(faces[i].tensor || tfjs_esm_exports.tensor([]), parent.config, i, faces.length) : null;
+      emotionRes = ((_b = parent.config.face.emotion) == null ? void 0 : _b.enabled) ? predict5(faces[i].tensor || tfjs_esm_exports.tensor([]), parent.config, i, faces.length) : null;
     } else {
       parent.state = "run:emotion";
       timeStamp = now();
-      emotionRes = parent.config.face.emotion.enabled ? await predict5(faces[i].tensor || tfjs_esm_exports.tensor([]), parent.config, i, faces.length) : null;
+      emotionRes = ((_c = parent.config.face.emotion) == null ? void 0 : _c.enabled) ? await predict5(faces[i].tensor || tfjs_esm_exports.tensor([]), parent.config, i, faces.length) : null;
       parent.performance.emotion = env.perfadd ? (parent.performance.emotion || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);
     }
     parent.analyze("End Emotion:");
     parent.analyze("Start AntiSpoof:");
     if (parent.config.async) {
-      antispoofRes = parent.config.face.antispoof.enabled ? predict(faces[i].tensor || tfjs_esm_exports.tensor([]), parent.config, i, faces.length) : null;
+      antispoofRes = ((_d = parent.config.face.antispoof) == null ? void 0 : _d.enabled) ? predict(faces[i].tensor || tfjs_esm_exports.tensor([]), parent.config, i, faces.length) : null;
     } else {
       parent.state = "run:antispoof";
       timeStamp = now();
-      antispoofRes = parent.config.face.antispoof.enabled ? await predict(faces[i].tensor || tfjs_esm_exports.tensor([]), parent.config, i, faces.length) : null;
+      antispoofRes = ((_e = parent.config.face.antispoof) == null ? void 0 : _e.enabled) ? await predict(faces[i].tensor || tfjs_esm_exports.tensor([]), parent.config, i, faces.length) : null;
       parent.performance.antispoof = env.perfadd ? (parent.performance.antispoof || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);
     }
     parent.analyze("End AntiSpoof:");
     parent.analyze("Start Liveness:");
     if (parent.config.async) {
-      livenessRes = parent.config.face.liveness.enabled ? predict10(faces[i].tensor || tfjs_esm_exports.tensor([]), parent.config, i, faces.length) : null;
+      livenessRes = ((_f = parent.config.face.liveness) == null ? void 0 : _f.enabled) ? predict10(faces[i].tensor || tfjs_esm_exports.tensor([]), parent.config, i, faces.length) : null;
     } else {
       parent.state = "run:liveness";
       timeStamp = now();
-      livenessRes = parent.config.face.liveness.enabled ? await predict10(faces[i].tensor || tfjs_esm_exports.tensor([]), parent.config, i, faces.length) : null;
+      livenessRes = ((_g = parent.config.face.liveness) == null ? void 0 : _g.enabled) ? await predict10(faces[i].tensor || tfjs_esm_exports.tensor([]), parent.config, i, faces.length) : null;
       parent.performance.antispoof = env.perfadd ? (parent.performance.antispoof || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);
     }
     parent.analyze("End Liveness:");
     parent.analyze("Start Description:");
     if (parent.config.async) {
-      descRes = parent.config.face.description.enabled ? predict7(faces[i].tensor || tfjs_esm_exports.tensor([]), parent.config, i, faces.length) : null;
+      descRes = ((_h = parent.config.face.description) == null ? void 0 : _h.enabled) ? predict7(faces[i].tensor || tfjs_esm_exports.tensor([]), parent.config, i, faces.length) : null;
     } else {
       parent.state = "run:description";
       timeStamp = now();
-      descRes = parent.config.face.description.enabled ? await predict7(faces[i].tensor || tfjs_esm_exports.tensor([]), parent.config, i, faces.length) : null;
+      descRes = ((_i = parent.config.face.description) == null ? void 0 : _i.enabled) ? await predict7(faces[i].tensor || tfjs_esm_exports.tensor([]), parent.config, i, faces.length) : null;
       parent.performance.description = env.perfadd ? (parent.performance.description || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);
     }
     parent.analyze("End Description:");
@@ -11694,12 +11738,12 @@ var detectFace = async (parent, input) => {
       [ageRes, genderRes, emotionRes, embeddingRes, descRes, gearRes, antispoofRes, livenessRes] = await Promise.all([ageRes, genderRes, emotionRes, embeddingRes, descRes, gearRes, antispoofRes, livenessRes]);
     }
     parent.analyze("Finish Face:");
-    if (!parent.config.face.iris.enabled && ((_b = (_a = faces[i]) == null ? void 0 : _a.annotations) == null ? void 0 : _b.leftEyeIris) && ((_d = (_c = faces[i]) == null ? void 0 : _c.annotations) == null ? void 0 : _d.rightEyeIris)) {
+    if (!((_j = parent.config.face.iris) == null ? void 0 : _j.enabled) && ((_l = (_k = faces[i]) == null ? void 0 : _k.annotations) == null ? void 0 : _l.leftEyeIris) && ((_n = (_m = faces[i]) == null ? void 0 : _m.annotations) == null ? void 0 : _n.rightEyeIris)) {
       delete faces[i].annotations.leftEyeIris;
       delete faces[i].annotations.rightEyeIris;
     }
     const irisSize = faces[i].annotations && faces[i].annotations.leftEyeIris && faces[i].annotations.leftEyeIris[0] && faces[i].annotations.rightEyeIris && faces[i].annotations.rightEyeIris[0] && faces[i].annotations.leftEyeIris.length > 0 && faces[i].annotations.rightEyeIris.length > 0 && faces[i].annotations.leftEyeIris[0] !== null && faces[i].annotations.rightEyeIris[0] !== null ? Math.max(Math.abs(faces[i].annotations.leftEyeIris[3][0] - faces[i].annotations.leftEyeIris[1][0]), Math.abs(faces[i].annotations.rightEyeIris[4][1] - faces[i].annotations.rightEyeIris[2][1])) / input.shape[2] : 0;
-    const tensor3 = parent.config.face.detector.return ? tfjs_esm_exports.squeeze(faces[i].tensor) : null;
+    const tensor3 = ((_o = parent.config.face.detector) == null ? void 0 : _o.return) ? tfjs_esm_exports.squeeze(faces[i].tensor) : null;
     tfjs_esm_exports.dispose(faces[i].tensor);
     if (faces[i].tensor)
       delete faces[i].tensor;
@@ -11762,11 +11806,12 @@ var face2 = (res) => {
   const gestures = [];
   for (let i = 0; i < res.length; i++) {
     if (res[i].mesh && res[i].mesh.length > 450) {
-      const eyeFacing = res[i].mesh[33][2] - res[i].mesh[263][2];
-      if (Math.abs(eyeFacing) < 10)
+      const zDiff = res[i].mesh[33][2] - res[i].mesh[263][2];
+      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 ${eyeFacing < 0 ? "left" : "right"}` });
+        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" });
@@ -11930,18 +11975,21 @@ function calc2(newResult, config3) {
     for (let i = 0; i < newResult.face.length; i++) {
       const box4 = 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);
-      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 = (_g = newResult.face[i].rotation) == null ? void 0 : _g.matrix;
-      rotation.angle = {
-        roll: ((bufferedFactor - 1) * (((_i = (_h = bufferedResult.face[i].rotation) == null ? void 0 : _h.angle) == null ? void 0 : _i.roll) || 0) + (((_k = (_j = newResult.face[i].rotation) == null ? void 0 : _j.angle) == null ? void 0 : _k.roll) || 0)) / bufferedFactor,
-        yaw: ((bufferedFactor - 1) * (((_m = (_l = bufferedResult.face[i].rotation) == null ? void 0 : _l.angle) == null ? void 0 : _m.yaw) || 0) + (((_o = (_n = newResult.face[i].rotation) == null ? void 0 : _n.angle) == null ? void 0 : _o.yaw) || 0)) / bufferedFactor,
-        pitch: ((bufferedFactor - 1) * (((_q = (_p = bufferedResult.face[i].rotation) == null ? void 0 : _p.angle) == null ? void 0 : _q.pitch) || 0) + (((_s = (_r = newResult.face[i].rotation) == null ? void 0 : _r.angle) == null ? void 0 : _s.pitch) || 0)) / bufferedFactor
-      };
-      rotation.gaze = {
-        bearing: ((bufferedFactor - 1) * (((_u = (_t = bufferedResult.face[i].rotation) == null ? void 0 : _t.gaze) == null ? void 0 : _u.bearing) || 0) + (((_w = (_v = newResult.face[i].rotation) == null ? void 0 : _v.gaze) == null ? void 0 : _w.bearing) || 0)) / bufferedFactor,
-        strength: ((bufferedFactor - 1) * (((_y = (_x = bufferedResult.face[i].rotation) == null ? void 0 : _x.gaze) == null ? void 0 : _y.strength) || 0) + (((_A = (_z = newResult.face[i].rotation) == null ? void 0 : _z.gaze) == null ? void 0 : _A.strength) || 0)) / bufferedFactor
-      };
-      bufferedResult.face[i] = { ...newResult.face[i], rotation, box: box4, boxRaw };
+      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 = (_g = newResult.face[i].rotation) == null ? void 0 : _g.matrix;
+        rotation.angle = {
+          roll: ((bufferedFactor - 1) * (((_i = (_h = bufferedResult.face[i].rotation) == null ? void 0 : _h.angle) == null ? void 0 : _i.roll) || 0) + (((_k = (_j = newResult.face[i].rotation) == null ? void 0 : _j.angle) == null ? void 0 : _k.roll) || 0)) / bufferedFactor,
+          yaw: ((bufferedFactor - 1) * (((_m = (_l = bufferedResult.face[i].rotation) == null ? void 0 : _l.angle) == null ? void 0 : _m.yaw) || 0) + (((_o = (_n = newResult.face[i].rotation) == null ? void 0 : _n.angle) == null ? void 0 : _o.yaw) || 0)) / bufferedFactor,
+          pitch: ((bufferedFactor - 1) * (((_q = (_p = bufferedResult.face[i].rotation) == null ? void 0 : _p.angle) == null ? void 0 : _q.pitch) || 0) + (((_s = (_r = newResult.face[i].rotation) == null ? void 0 : _r.angle) == null ? void 0 : _s.pitch) || 0)) / bufferedFactor
+        };
+        rotation.gaze = {
+          bearing: ((bufferedFactor - 1) * (((_u = (_t = bufferedResult.face[i].rotation) == null ? void 0 : _t.gaze) == null ? void 0 : _u.bearing) || 0) + (((_w = (_v = newResult.face[i].rotation) == null ? void 0 : _v.gaze) == null ? void 0 : _w.bearing) || 0)) / bufferedFactor,
+          strength: ((bufferedFactor - 1) * (((_y = (_x = bufferedResult.face[i].rotation) == null ? void 0 : _x.gaze) == null ? void 0 : _y.strength) || 0) + (((_A = (_z = newResult.face[i].rotation) == null ? void 0 : _z.gaze) == null ? void 0 : _A.strength) || 0)) / bufferedFactor
+        };
+        bufferedResult.face[i] = { ...newResult.face[i], rotation, box: box4, boxRaw };
+      }
+      bufferedResult.face[i] = { ...newResult.face[i], box: box4, boxRaw };
     }
   }
   if (!bufferedResult.object || newResult.object.length !== bufferedResult.object.length) {
diff --git a/dist/human.esm-nobundle.js.map b/dist/human.esm-nobundle.js.map
index b27bca63..f608da87 100644
--- a/dist/human.esm-nobundle.js.map
+++ b/dist/human.esm-nobundle.js.map
@@ -1,7 +1,7 @@
 {
   "version": 3,
-  "sources": ["../src/util/util.ts", "../src/config.ts", "tfjs.esm.js", "../src/image/imagefxshaders.ts", "../src/image/imagefx.ts", "../src/image/enhance.ts", "../src/image/image.ts", "../src/util/env.ts", "../src/gear/gear-agegenderrace.ts", "../src/face/antispoof.ts", "../src/face/facemeshcoords.ts", "../src/face/facemeshutil.ts", "../src/face/blazeface.ts", "../src/body/blazeposecoords.ts", "../src/body/blazepose.ts", "../src/object/labels.ts", "../src/object/centernet.ts", "../src/body/efficientposecoords.ts", "../src/body/efficientpose.ts", "../src/gear/emotion.ts", "../src/face/iris.ts", "../src/face/facemesh.ts", "../src/face/faceres.ts", "../src/hand/handposeutil.ts", "../src/hand/handposeanchors.ts", "../src/hand/handposedetector.ts", "../src/hand/handposepipeline.ts", "../src/hand/fingerdef.ts", "../src/hand/fingergesture.ts", "../src/hand/fingerpose.ts", "../src/hand/handpose.ts", "../src/util/box.ts", "../src/hand/handtrack.ts", "../src/face/liveness.ts", "../src/body/movenetcoords.ts", "../src/body/movenetfix.ts", "../src/body/movenet.ts", "../src/object/nanodet.ts", "../src/body/posenetutils.ts", "../src/body/posenet.ts", "../src/segmentation/segmentation.ts", "../src/models.ts", "../src/tfjs/humangl.ts", "../src/tfjs/backend.ts", "../src/util/draw.ts", "../src/face/angles.ts", "../src/face/face.ts", "../src/gesture/gesture.ts", "../src/util/interpolate.ts", "../src/face/match.ts", "../src/util/persons.ts", "../src/sample.ts", "../src/warmup.ts", "../src/human.ts"],
-  "sourcesContent": ["/**\n * Simple helper functions used accross codebase\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: ${path} expecting json file`);\n  return path;\n}\n\n// helper function: wrapper around console output\nexport function log(...msg): void {\n  const dt = new Date();\n  const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;\n  // eslint-disable-next-line no-console\n  if (msg) console.log(ts, 'Human:', ...msg);\n}\n\n// helper function: gets elapsed time on both browser and nodejs\nexport const now = () => {\n  if (typeof performance !== 'undefined') return performance.now();\n  return parseInt((Number(process.hrtime.bigint()) / 1000 / 1000).toString());\n};\n\n// helper function: checks current config validity\nexport function validate(defaults, config, parent = 'config', msgs: Array<{ reason: string, where: string, expected?: string }> = []) {\n  for (const key of Object.keys(config)) {\n    if (typeof config[key] === 'object') {\n      validate(defaults[key], config[key], key, msgs);\n    } else {\n      const defined = defaults && (typeof defaults[key] !== 'undefined');\n      if (!defined) msgs.push({ reason: 'unknown property', where: `${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 inheriance 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: Array) => data.reduce((acc: Array, 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) {\n  const waiting = new Promise((resolve) => { setTimeout(() => resolve(true), time); });\n  await waiting;\n}\n", "/* eslint-disable indent */\n/* eslint-disable no-multi-spaces */\n\n/** Generic config type inherited by all module types */\nexport interface GenericConfig {\n  /** @property is module enabled? */\n  enabled: boolean,\n  /** @property path to model json file */\n  modelPath: string,\n  /** @property how many max frames to go without re-running model if cached results are acceptable */\n  skipFrames: number,\n  /** @property how many max miliseconds to go without re-running model if cached results are acceptable */\n  skipTime: number,\n}\n\n/** Dectector part of face configuration */\nexport interface FaceDetectorConfig extends GenericConfig {\n  /** @property is face rotation correction performed after detecting face? */\n  rotation: boolean,\n  /** @property maximum number of detected faces */\n  maxDetected: number,\n  /** @property minimum confidence for a detected face before results are discarded */\n  minConfidence: number,\n  /** @property minimum overlap between two detected faces before one is discarded */\n  iouThreshold: number,\n  /** @property should face detection return face tensor to be used in some other extenrnal model? */\n  return: boolean,\n}\n\n/** Mesh part of face configuration */\nexport interface FaceMeshConfig extends GenericConfig {}\n\n/** Iris part of face configuration */\nexport interface FaceIrisConfig 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  /** @property 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  /** @property 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/** 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  iris: Partial,\n  description: Partial,\n  emotion: Partial,\n  antispoof: Partial,\n  liveness: Partial,\n}\n\n/** Configures all body detection specific options */\nexport interface BodyConfig extends GenericConfig {\n  /** @property maximum numboer of detected bodies */\n  maxDetected: number,\n  /** @property minimum confidence for a detected body before results are discarded */\n  minConfidence: number,\n  detector?: {\n    /** @property path to optional body detector model json file */\n    modelPath: string\n  },\n}\n\n/** Configures all hand detection specific options */\nexport interface HandConfig extends GenericConfig {\n  /** @property should hand rotation correction be performed after hand detection? */\n  rotation: boolean,\n  /** @property minimum confidence for a detected hand before results are discarded */\n  minConfidence: number,\n  /** @property minimum overlap between two detected hands before one is discarded */\n  iouThreshold: number,\n  /** @property maximum number of detected hands */\n  maxDetected: number,\n  /** @property should hand landmarks be detected or just return detected hand box */\n  landmarks: boolean,\n  detector: {\n    /** @property path to hand detector model json */\n    modelPath?: string,\n  },\n  skeleton: {\n    /** @property 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  /** @property minimum confidence for a detected objects before results are discarded */\n  minConfidence: number,\n  /** @property minimum overlap between two detected objects before one is discarded */\n  iouThreshold: number,\n  /** @property 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  /** @property blur segmentation output by  pixels for more realistic image */\n  blur: number,\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  /** @property are image filters enabled? */\n  enabled: boolean,\n  /** @property 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  * @property\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  * @property\n  */\n  height: number,\n  /** @property return processed canvas imagedata in result */\n  return: boolean,\n  /** @property flip input as mirror image */\n  flip: boolean,\n  /** @property range: -1 (darken) to 1 (lighten) */\n  brightness: number,\n  /** @property range: -1 (reduce contrast) to 1 (increase contrast) */\n  contrast: number,\n  /** @property range: 0 (no sharpening) to 1 (maximum sharpening) */\n  sharpness: number,\n  /** @property range: 0 (no blur) to N (blur radius in pixels) */\n  blur: number\n  /** @property range: -1 (reduce saturation) to 1 (increase saturation) */\n  saturation: number,\n  /** @property range: 0 (no change) to 360 (hue rotation in degrees) */\n  hue: number,\n  /** @property image negative */\n  negative: boolean,\n  /** @property image sepia colors */\n  sepia: boolean,\n  /** @property image vintage colors */\n  vintage: boolean,\n  /** @property image kodachrome colors */\n  kodachrome: boolean,\n  /** @property image technicolor colors */\n  technicolor: boolean,\n  /** @property image polaroid camera effect */\n  polaroid: boolean,\n  /** @property range: 0 (no pixelate) to N (number of pixels to pixelate) */\n  pixelate: number,\n}\n\n/** Controlls gesture detection */\nexport interface GestureConfig {\n  /** @property is gesture detection enabled? */\n  enabled: boolean,\n}\n\n/**\n * Configuration interface definition for **Human** library\n *\n * Contains all configurable parameters\n * @typedef Config\n *\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: `humangl` for browser and `tensorflow` for nodejs\n  */\n  backend: '' | 'cpu' | 'wasm' | 'webgl' | 'humangl' | 'tensorflow' | 'webgpu',\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  /** 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: 'none' | 'face' | 'full' | 'body',\n  // warmup: string;\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 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  /** Perform immediate garbage collection on deallocated tensors instead of caching them */\n  deallocate: boolean;\n\n  /** Internal Variable */\n  skipAllowed: boolean;\n\n  /** {@link FilterConfig} */\n  filter: Partial,\n\n  /** {@link GestureConfig} */\n  gesture: Partial;\n\n  /** {@link FaceConfig} */\n  face: Partial,\n\n  /** {@link BodyConfig} */\n  body: Partial,\n\n  /** {@link HandConfig} */\n  hand: Partial,\n\n  /** {@link ObjectConfig} */\n  object: Partial,\n\n  /** {@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  wasmPath: '',\n  debug: true,\n  async: true,\n  warmup: 'full',\n  cacheSensitivity: 0.70,\n  skipAllowed: false,\n  deallocate: false,\n  filter: {\n    enabled: true,\n    equalization: false,\n    width: 0,\n    height: 0,\n    flip: false,\n    return: 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: true,\n      maxDetected: 1,\n      skipFrames: 99,\n      skipTime: 2500,\n      minConfidence: 0.2,\n      iouThreshold: 0.1,\n      return: false,\n    },\n    mesh: {\n      enabled: true,\n      modelPath: 'facemesh.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    detector: {\n      modelPath: '',\n    },\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-full.json',\n    },\n  },\n  object: {\n    enabled: false,\n    modelPath: 'mb3-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: 'selfie.json',\n    blur: 8,\n  },\n};\n\nexport { config as defaults };\n", "/*\n  Human\n  homepage: \n  author: '\n*/\n\n// tfjs/tf-browser.ts\nexport * from \"@tensorflow/tfjs/dist/index.js\";\nexport * from \"@tensorflow/tfjs-backend-webgl/dist/index.js\";\n\n// dist/tfjs.version.js\nvar version = \"3.11.0\";\nvar version2 = \"3.11.0\";\nvar version3 = \"3.11.0\";\nvar version4 = \"3.11.0\";\nvar version5 = \"3.11.0\";\nvar version6 = \"3.11.0\";\nvar version7 = \"3.11.0\";\nvar version8 = \"3.11.0\";\nvar version9 = {\n  tfjs: version,\n  \"tfjs-core\": version2,\n  \"tfjs-data\": version3,\n  \"tfjs-layers\": version4,\n  \"tfjs-converter\": version5,\n  \"tfjs-backend-cpu\": version6,\n  \"tfjs-backend-webgl\": version7,\n  \"tfjs-backend-wasm\": version8\n};\n\n// tfjs/tf-browser.ts\nimport { Tensor } from \"@tensorflow/tfjs/dist/index.js\";\nimport { GraphModel } from \"@tensorflow/tfjs-converter/dist/index\";\nexport {\n  GraphModel,\n  Tensor,\n  version9 as version\n};\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\nimport * as shaders from './imagefxshaders';\nimport { canvas } from './image';\n\nconst collect = (source, prefix, 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  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    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)) throw new Error(`filter: gl link failed: ${this.gl.getProgramInfoLog(this.id)}`);\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 => {\n    const shader = this.gl.createShader(type) as WebGLShader;\n    this.gl.shaderSource(shader, source);\n    this.gl.compileShader(shader);\n    if (!this.gl.getShaderParameter(shader, this.gl.COMPILE_STATUS)) throw new Error(`filter: gl compile failed: ${this.gl.getShaderInfoLog(shader)}`);\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);\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) throw new Error('filter: cannot get webgl context');\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() as WebGLFramebuffer;\n    gl.bindFramebuffer(gl.FRAMEBUFFER, fbo);\n    const renderbuffer = gl.createRenderbuffer();\n    gl.bindRenderbuffer(gl.RENDERBUFFER, renderbuffer);\n    const texture = gl.createTexture() as WebGLTexture;\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) {\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) {\n    if (shaderProgramCache[fragmentSource]) {\n      currentProgram = shaderProgramCache[fragmentSource];\n      gl.useProgram((currentProgram ? currentProgram.id : null) || null);\n      return currentProgram as GLProgram;\n    }\n    currentProgram = new GLProgram(gl, shaders.vertexIdentity, fragmentSource);\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 as GLProgram;\n  }\n\n  const filter = {\n    colorMatrix: (matrix) => { // 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      gl.uniform1fv(program.uniform['m'], m);\n      draw();\n    },\n\n    brightness: (brightness) => {\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) => {\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) => {\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) => {\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) => { // 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      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) => {\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) => {\n      const blurSizeX = (size / 7) / fxcanvas.width;\n      const blurSizeY = (size / 7) / fxcanvas.height;\n      const program = compileShader(shaders.blur);\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) => {\n      const blurSizeX = (size) / fxcanvas.width;\n      const blurSizeY = (size) / fxcanvas.height;\n      const program = compileShader(shaders.pixelate);\n      gl.uniform2f(program.uniform['size'], blurSizeX, blurSizeY);\n      draw();\n    },\n  };\n\n  // @ts-ignore this\n  this.add = function (name) {\n    // eslint-disable-next-line prefer-rest-params\n    const args = Array.prototype.slice.call(arguments, 1);\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 '../exports';\n\nexport async function histogramEqualization(inputImage: Tensor): Promise {\n  // const maxValue = 254; // using 255 results in values slightly larger than 1 due to math rounding errors\n  const squeeze = inputImage.shape.length === 4 ? tf.squeeze(inputImage) : inputImage;\n  const channels = tf.split(squeeze, 3, 2);\n  const min: Tensor[] = [tf.min(channels[0]), tf.min(channels[1]), tf.min(channels[2])];\n  const max: Tensor[] = [tf.max(channels[0]), tf.max(channels[1]), tf.max(channels[2])];\n  const absMax = await Promise.all(max.map((channel) => channel.data()));\n  const maxValue = 0.99 * Math.max(absMax[0][0], absMax[1][0], absMax[2][0]);\n  const sub = [tf.sub(channels[0], min[0]), tf.sub(channels[1], min[1]), tf.sub(channels[2], min[2])];\n  const range = [tf.sub(max[0], min[0]), tf.sub(max[1], min[1]), tf.sub(max[2], min[2])];\n  const fact = [tf.div(maxValue, range[0]), tf.div(maxValue, range[1]), tf.div(maxValue, range[2])];\n  const enh = [tf.mul(sub[0], fact[0]), tf.mul(sub[1], fact[1]), tf.mul(sub[2], fact[2])];\n  const rgb = tf.stack([enh[0], enh[1], enh[2]], 2);\n  const reshape = tf.reshape(rgb, [1, squeeze.shape[0], squeeze.shape[1], 3]);\n  tf.dispose([...channels, ...min, ...max, ...sub, ...range, ...fact, ...enh, rgb, squeeze]);\n  return reshape; // output shape is [1, height, width, 3]\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, Tensor, Config } from '../exports';\nimport { env } from '../util/env';\nimport { log } from '../util/util';\nimport * as enhance from './enhance';\n\nconst maxSize = 2048;\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 canvas(width, height): AnyCanvas {\n  let c;\n  if (env.browser) { // browser defines canvas object\n    if (env.worker) { // if runing in web  worker use OffscreenCanvas\n      c = new OffscreenCanvas(width, height);\n    } else { // otherwise use DOM canvas\n      if (typeof document === 'undefined') throw new Error('attempted to run in web worker but offscreenCanvas is not supported');\n      c = document.createElement('canvas');\n      c.width = width;\n      c.height = height;\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  }\n  // if (!c) throw new Error('cannot create canvas');\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: Tensor | null, canvas: AnyCanvas | null }> {\n  if (!input) {\n    // throw new Error('input is missing');\n    if (config.debug) log('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 env.Canvas !== 'undefined' && input instanceof env.Canvas)\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 type is 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 as Tensor)['isDisposedInternal']) throw new Error('input tensor is disposed');\n    if (!(input as Tensor)['shape']) throw new Error('input tensor has no 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, [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, [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(`could not process input tensor with shape: ${input['shape']}`);\n    if ((tensor as Tensor).dtype === 'int32') {\n      const cast = tf.cast(tensor, 'float32');\n      tf.dispose(tensor);\n      tensor = cast;\n    }\n    return { tensor, canvas: (config.filter.return ? outCanvas : null) };\n  } else {\n    // check if resizing will be needed\n    if (typeof input['readyState'] !== 'undefined' && input['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 = input['naturalWidth'] || input['videoWidth'] || input['width'] || (input['shape'] && (input['shape'][1] > 0));\n    const originalHeight = 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 = originalWidth;\n    let targetHeight = 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;\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;\n    else if ((config.filter.width || 0) > 0) targetHeight = originalHeight * ((config.filter.width || 0) / originalWidth);\n    if (!targetWidth || !targetHeight) throw new Error('input 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) return { tensor: null, canvas: inCanvas };\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() > 0) outCanvas = fx.apply(inCanvas);\n      else outCanvas = fx.draw(inCanvas);\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('cannot create output canvas');\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['data'] && input['width'] && input['height'])) { // if input is imagedata, just use it\n      if (env.browser && tf.browser) {\n        pixels = tf.browser ? tf.browser.fromPixels(input) : null;\n      } else {\n        depth = input['data'].length / input['height'] / input['width'];\n        // const arr = Uint8Array.from(input['data']);\n        const arr = new Uint8Array(input['data']['buffer']);\n        pixels = tf.tensor(arr, [input['height'], input['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); // 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);\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('cannot create tensor from input');\n    const casted = tf.cast(pixels, 'float32');\n    const tensor = config.filter.equalization ? await enhance.histogramEqualization(casted) : tf.expandDims(casted, 0);\n    tf.dispose([pixels, casted]);\n    return { tensor, canvas: (config.filter.return ? outCanvas : null) };\n  }\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, input: Tensor) {\n  let skipFrame = false;\n  if (config.cacheSensitivity === 0) return skipFrame;\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;\n  }\n  return skipFrame;\n}\n\nexport async function compare(config, 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, [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  /** 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  } = {\n      supported: undefined,\n      backend: undefined,\n      version: undefined,\n      renderer: undefined,\n    };\n  /** WebGPU detected capabilities */\n  webgpu: {\n    supported: undefined | boolean,\n    backend: undefined | boolean,\n    adapter: undefined | string,\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  /** MonkeyPatch for Canvas */\n  Canvas: undefined;\n  /** MonkeyPatch for Image */\n  Image: undefined;\n  /** MonkeyPatch for ImageData */\n  ImageData: undefined;\n\n  constructor() {\n    this.browser = typeof navigator !== 'undefined';\n    this.node = typeof process !== 'undefined';\n    this.tfjs = { version: tf.version_core };\n    this.offscreen = typeof OffscreenCanvas !== 'undefined';\n    this.initial = true;\n    // @ts-ignore WorkerGlobalScope evaluated in browser only\n    this.worker = this.browser && this.offscreen ? (typeof WorkerGlobalScope !== 'undefined') : undefined;\n    if (typeof navigator !== 'undefined') {\n      const raw = navigator.userAgent.match(/\\(([^()]+)\\)/g);\n      if (raw && raw[0]) {\n        const platformMatch = raw[0].match(/\\(([^()]+)\\)/g);\n        this.platform = (platformMatch && platformMatch[0]) ? platformMatch[0].replace(/\\(|\\)/g, '') : '';\n        this.agent = navigator.userAgent.replace(raw[0], '');\n        if (this.platform[1]) this.agent = this.agent.replace(raw[1], '');\n        this.agent = this.agent.replace(/  /g, ' ');\n        // chrome offscreencanvas gpu memory leak\n        /*\n        const isChrome = env.agent.match(/Chrome\\/.[0-9]/g);\n        const verChrome = isChrome && isChrome[0] ? isChrome[0].split('/')[1] : 0;\n        if (verChrome > 92 && verChrome < 96) {\n          log('disabling offscreenCanvas due to browser error:', isChrome ? isChrome[0] : 'unknown');\n          this.offscreen = false;\n        }\n        */\n      }\n    } else if (typeof process !== 'undefined') {\n      this.platform = `${process.platform} ${process.arch}`;\n      this.agent = `NodeJS ${process.version}`;\n    }\n  }\n\n  async updateBackend() {\n    // analyze backends\n    this.backends = Object.keys(tf.engine().registryFactory);\n    this.wasm.supported = typeof WebAssembly !== 'undefined';\n    this.wasm.backend = this.backends.includes('wasm');\n    if (this.wasm.supported && this.wasm.backend && tf.getBackend() === 'wasm') {\n      this.wasm.simd = await tf.env().getAsync('WASM_HAS_SIMD_SUPPORT');\n      this.wasm.multithread = await tf.env().getAsync('WASM_HAS_MULTITHREAD_SUPPORT');\n    }\n    const c = image.canvas(100, 100);\n    const ctx = c ? c.getContext('webgl2') : undefined; // causes too many gl contexts\n    // const ctx = typeof tf.backend().getGPGPUContext !== undefined ? tf.backend().getGPGPUContext : null;\n    this.webgl.supported = typeof ctx !== 'undefined';\n    this.webgl.backend = this.backends.includes('webgl');\n    if (this.webgl.supported && this.webgl.backend && (tf.getBackend() === 'webgl' || tf.getBackend() === 'humangl')) {\n      // @ts-ignore getGPGPUContext only exists on WebGL backend\n      const gl = tf.backend().gpgpu !== 'undefined' ? await tf.backend().getGPGPUContext().gl : null;\n      if (gl) {\n        this.webgl.version = gl.getParameter(gl.VERSION);\n        this.webgl.renderer = gl.getParameter(gl.RENDERER);\n      }\n    }\n    this.webgpu.supported = this.browser && typeof navigator['gpu'] !== 'undefined';\n    this.webgpu.backend = this.backends.includes('webgpu');\n    if (this.webgpu.supported) this.webgpu.adapter = (await navigator['gpu'].requestAdapter()).name;\n    // enumerate kernels\n    this.kernels = tf.getKernelsForBackend(tf.getBackend()).map((kernel) => kernel.kernelName.toLowerCase());\n  }\n\n  async updateCPU() {\n    const cpu = { model: '', flags: [] };\n    if (this.node && this.platform.startsWith('linux')) {\n      // eslint-disable-next-line global-require\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')) {\n            cpu.model = line.match(/:(.*)/g)[0].replace(':', '').trim();\n          }\n          if (line.startsWith('flags')) {\n            cpu.flags = line.match(/:(.*)/g)[0].replace(':', '').trim().split(' ').sort();\n          }\n        }\n      } catch { /**/ }\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", "/**\n * GEAR [gender/emotion/age/race] model implementation\n *\n * Based on: [**GEAR Predictor**](https://github.com/Udolf15/GEAR-Predictor)\n *\n * Obsolete and replaced by `faceres` that performs age/gender/descriptor analysis\n * Config placeholder: agegenderrace: { enabled: true, modelPath: 'gear.json' },\n */\n\nimport { log, join, now } from '../util/util';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport type { Config } from '../config';\nimport type { GraphModel, Tensor } from '../tfjs/types';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\n\nlet last = { age: 0 };\nlet lastTime = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n\n// eslint-disable-next-line @typescript-eslint/no-explicit-any\nexport async function load(config: Config | any) {\n  if (env.initial) model = null;\n  if (!model) {\n    model = await tf.loadGraphModel(join(config.modelBasePath, config.face.agegenderrace.modelPath)) as unknown as GraphModel;\n    if (!model || !model['modelUrl']) log('load model failed:', config.face.agegenderrace.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\n  } else if (config.debug) log('cached model:', model['modelUrl']);\n  return model;\n}\n\n// eslint-disable-next-line @typescript-eslint/no-explicit-any\nexport async function predict(image: Tensor, config: Config) {\n  if (!model) return null;\n  // @ts-ignore config disabled\n  const skipFrame = skipped < (config.face.agegenderrace?.skipFrames || 0);\n  // @ts-ignore config disabled\n  const skipTime = (config.face.agegenderrace?.skipTime || 0) > (now() - lastTime);\n  // @ts-ignore config disabled\n  if (config.skipAllowed && skipTime && skipFrame && last.age && (last.age > 0)) {\n    skipped++;\n    return last;\n  }\n  skipped = 0;\n  return new Promise(async (resolve) => {\n    if (!model?.inputs[0].shape) return;\n    const resize = tf.image.resizeBilinear(image, [model?.inputs[0].shape[2], model?.inputs[0].shape[1]], false);\n    // const enhance = tf.mul(resize, [255.0]);\n\n    let ageT;\n    let genderT;\n    let raceT;\n    const obj = { age: 0 };\n\n    // @ts-ignore array definition unavailable at compile time\n    if (config.face.agegenderrace.enabled) [ageT, genderT, raceT] = model.execute(resize, ['age_output', 'gender_output', 'race_output']);\n    lastTime = now();\n    tf.dispose(resize);\n    // tf.dispose(enhance);\n\n    if (ageT) {\n      // const data = await ageT.data();\n      // {0: 'below_20', 1: '21-25', 2: '26-30', 3: '31-40',4: '41-50', 5: '51-60', 6: 'Above60'}\n    }\n    if (genderT) {\n      // const data = await genderT.data();\n    }\n    if (raceT) {\n      // const data = await raceT.data();\n      // {0: 'white', 1: 'black', 2: 'asian', 3: 'indian', 4: 'others'}\n    }\n\n    tf.dispose(ageT);\n    tf.dispose(genderT);\n    tf.dispose(raceT);\n\n    last = obj;\n    resolve(obj);\n  });\n}\n", "/**\n * Anti-spoofing model implementation\n */\n\nimport { log, join, now } from '../util/util';\nimport type { Config } from '../config';\nimport type { GraphModel, Tensor } from '../tfjs/types';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\nconst cached: Array = [];\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) {\n    model = await tf.loadGraphModel(join(config.modelBasePath, config.face.antispoof?.modelPath || '')) as unknown as GraphModel;\n    if (!model || !model['modelUrl']) log('load model failed:', config.face.antispoof?.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\n  } else if (config.debug) log('cached model:', model['modelUrl']);\n  return model;\n}\n\nexport async function predict(image: Tensor, config: Config, idx, count) {\n  if (!model) return null;\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 * 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],\n  lipsLowerOuter: [146, 91, 181, 84, 17, 314, 405, 321, 375, 291],\n  lipsUpperInner: [78, 191, 80, 81, 82, 13, 312, 311, 310, 415, 308],\n  lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308],\n  rightEyeUpper0: [246, 161, 160, 159, 158, 157, 173],\n  rightEyeLower0: [33, 7, 163, 144, 145, 153, 154, 155, 133],\n  rightEyeUpper1: [247, 30, 29, 27, 28, 56, 190],\n  rightEyeLower1: [130, 25, 110, 24, 23, 22, 26, 112, 243],\n  rightEyeUpper2: [113, 225, 224, 223, 222, 221, 189],\n  rightEyeLower2: [226, 31, 228, 229, 230, 231, 232, 233, 244],\n  rightEyeLower3: [143, 111, 117, 118, 119, 120, 121, 128, 245],\n  rightEyebrowUpper: [156, 70, 63, 105, 66, 107, 55, 193],\n  rightEyebrowLower: [35, 124, 46, 53, 52, 65],\n  rightEyeIris: [473, 474, 475, 476, 477],\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 MESH_TO_IRIS_INDICES_MAP: Array<{ 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] },\n  { key: 'EyeUpper1', indices: [25, 26, 27, 28, 29, 30, 31] },\n  { key: 'EyeUpper2', indices: [41, 42, 43, 44, 45, 46, 47] },\n  { key: 'EyeLower0', indices: [0, 1, 2, 3, 4, 5, 6, 7, 8] },\n  { key: 'EyeLower1', indices: [16, 17, 18, 19, 20, 21, 22, 23, 24] },\n  { key: 'EyeLower2', indices: [32, 33, 34, 35, 36, 37, 38, 39, 40] },\n  { key: 'EyeLower3', indices: [54, 55, 56, 57, 58, 59, 60, 61, 62] },\n  // { key: 'EyebrowUpper', indices: [63, 64, 65, 66, 67, 68, 69, 70] },\n  // { key: 'EyebrowLower', indices: [48, 49, 50, 51, 52, 53] },\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: Array = [\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: Array = [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: Array = [\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: Array = [0, 4, 1, 2, 4, 3, 4, 5, 6];\n\nexport const VTX68: Array = [\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: Array = [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: Array = [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 * 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 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] => [box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2, box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2];\n\nexport const getClampedBox = (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) => {\n  const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n  const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n  return { startPoint, endPoint, landmarks: box.landmarks, confidence: box.confidence };\n};\n\nexport const cutBoxFromImageAndResize = (box, image, cropSize) => {\n  const h = image.shape[1];\n  const w = image.shape[2];\n  const crop = tf.image.cropAndResize(image, [[box.startPoint[1] / h, box.startPoint[0] / w, box.endPoint[1] / h, box.endPoint[0] / w]], [0], cropSize);\n  const norm = tf.div(crop, 255);\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 { startPoint: [center[0] - halfSize[0], center[1] - halfSize[1]] as Point, endPoint: [center[0] + halfSize[0], center[1] + halfSize[1]] as Point, landmarks: box.landmarks, confidence: box.confidence };\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 { startPoint: [Math.round(centers[0] - halfSize), Math.round(centers[1] - halfSize)] as Point, endPoint: [Math.round(centers[0] + halfSize), Math.round(centers[1] + halfSize)] as Point, landmarks: box.landmarks, confidence: box.confidence };\n};\n\nexport const calculateLandmarksBoundingBox = (landmarks) => {\n  const xs = landmarks.map((d) => d[0]);\n  const ys = landmarks.map((d) => d[1]);\n  return { startPoint: [Math.min(...xs), Math.min(...ys)] as Point, endPoint: [Math.max(...xs), Math.max(...ys)] as Point, landmarks };\n};\n\nexport const fixedRotationMatrix = [[1, 0, 0], [0, 1, 0], [0, 0, 1]];\n\nexport const normalizeRadians = (angle) => 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: Array = [];\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: Array = [];\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) {\n  const spec = { strides: [inputSize / 16, inputSize / 8], anchors: [2, 6] };\n  const anchors: Array<[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({ startPoint: box.startPoint, endPoint: box.endPoint }), 1];\n  return coordsRotated.map((coord) => ([\n    Math.round(coord[0] + dot(boxCenter, inverseRotationMatrix[0])),\n    Math.round(coord[1] + dot(boxCenter, inverseRotationMatrix[1])),\n    Math.round(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) {\n      const center: Point = getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint });\n      const centerRaw: Point = [center[0] / input.shape[2], center[1] / input.shape[1]];\n      const rotated = tf.image.rotateWithOffset(input, angle, 0, centerRaw); // rotateWithOffset is not defined for tfjs-node\n      rotationMatrix = buildRotationMatrix(-angle, center);\n      face = cutBoxFromImageAndResize(box, rotated, [inputSize, inputSize]);\n      tf.dispose(rotated);\n    } else {\n      face = cutBoxFromImageAndResize(box, input, [inputSize, inputSize]);\n    }\n  } else {\n    face = cutBoxFromImageAndResize(box, input, [inputSize, inputSize]);\n  }\n  return [angle, rotationMatrix, face];\n}\n", "/**\n * BlazeFace, FaceMesh & Iris model implementation\n * See `facemesh.ts` for entry point\n */\n\nimport { log, join } from '../util/util';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as util from './facemeshutil';\nimport type { Config } from '../config';\nimport type { Tensor, GraphModel } from '../tfjs/types';\nimport { env } from '../util/env';\nimport type { Point } from '../result';\n\nconst keypointsCount = 6;\nlet model: GraphModel | null;\nlet anchorsData: [number, number][] = [];\nlet anchors: Tensor | null = null;\nlet inputSize = 0;\n\n// export const size = () => (model && model.inputs[0].shape ? model.inputs[0].shape[2] : 0);\nexport const size = () => inputSize;\n\nexport async function load(config: Config): Promise {\n  if (env.initial) model = null;\n  if (!model) {\n    model = await tf.loadGraphModel(join(config.modelBasePath, config.face.detector?.modelPath || '')) as unknown as GraphModel;\n    if (!model || !model['modelUrl']) log('load model failed:', config.face.detector?.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\n  } else if (config.debug) log('cached model:', model['modelUrl']);\n  inputSize = model.inputs[0].shape ? model.inputs[0].shape[2] : 0;\n  if (inputSize === -1) inputSize = 64;\n  anchorsData = util.generateAnchors(inputSize);\n  anchors = tf.tensor2d(anchorsData);\n  return model;\n}\n\nfunction decodeBounds(boxOutputs) {\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, inputSize);\n  t.centersNormalized = tf.div(t.centers, inputSize);\n  t.halfBoxSize = tf.div(t.boxSizesNormalized, 2);\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, inputSize);\n  t.endNormalized = tf.mul(t.ends, inputSize);\n  const boxes = tf.concat2d([t.startNormalized, t.endNormalized], 1);\n  Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n  return boxes;\n}\n\nexport async function getBoxes(inputImage: Tensor, config: Config) {\n  // sanity check on input\n  if ((!inputImage) || (inputImage['isDisposedInternal']) || (inputImage.shape.length !== 4) || (inputImage.shape[1] < 1) || (inputImage.shape[2] < 1)) return { boxes: [] };\n  const t: Record = {};\n\n  t.resized = tf.image.resizeBilinear(inputImage, [inputSize, inputSize]);\n  t.div = tf.div(t.resized, 127.5);\n  t.normalized = tf.sub(t.div, 0.5);\n  const res = model?.execute(t.normalized) as Tensor[];\n  if (Array.isArray(res)) { // are we using tfhub or 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 {\n    t.batch = tf.squeeze(res); // when using tfhub model\n  }\n  tf.dispose(res);\n  t.boxes = decodeBounds(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\n  t.nms = await tf.image.nonMaxSuppressionAsync(t.boxes, t.scores, (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: Array<{ box: { startPoint: Point, endPoint: Point }, landmarks: Point[], confidence: number }> = [];\n  const scores = await t.scores.data();\n  for (let i = 0; i < nms.length; i++) {\n    const confidence = scores[nms[i]];\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      b.startPoint = tf.slice(b.bbox, [0, 0], [-1, 2]);\n      b.endPoint = tf.slice(b.bbox, [0, 2], [-1, 2]);\n      boxes.push({\n        box: {\n          startPoint: (await b.startPoint.data()) as unknown as Point,\n          endPoint: (await b.endPoint.data()) as unknown as Point,\n        },\n        landmarks: (await b.landmarks.array()) as Point[],\n        confidence,\n      });\n      Object.keys(b).forEach((tensor) => tf.dispose(b[tensor]));\n    }\n  }\n\n  Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n  return { boxes, scaleFactor: [inputImage.shape[2] / inputSize, inputImage.shape[1] / inputSize] };\n}\n", "/* eslint-disable no-multi-spaces */\n\nexport const kpt: Array = [\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  'leftPalm',        // 17\n  'rightPalm',       // 18\n  'leftIndex',       // 19\n  'rightIndex',      // 20\n  'leftPinky',       // 21\n  'rightPinky',      // 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  'leftThumb',       // 35\n  'leftHand',        // 36\n  'rightThumb',      // 37\n  'rightHand',       // 38\n];\n\nexport const connected: Record = {\n  leftLeg: ['leftHip', 'leftKnee', 'leftAnkle', 'leftHeel', 'leftFoot'],\n  rightLeg: ['rightHip', 'rightKnee', 'rightAnkle', 'rightHeel', 'rightFoot'],\n  torso: ['leftShoulder', 'rightShoulder', 'rightHip', 'leftHip', 'leftShoulder'],\n  leftArm: ['leftShoulder', 'leftElbow', 'leftWrist', 'leftPalm'],\n  rightArm: ['rightShoulder', 'rightElbow', 'rightWrist', 'rightPalm'],\n  leftHand: [],\n  rightHand: [],\n  head: [],\n};\n", "/**\n * BlazePose model implementation\n */\n\nimport * as tf from '../../dist/tfjs.esm.js';\nimport { log, join, now } from '../util/util';\nimport type { BodyKeypoint, BodyResult, Box, Point } from '../result';\nimport type { GraphModel, Tensor } from '../tfjs/types';\nimport type { Config } from '../config';\nimport * as coords from './blazeposecoords';\n\nconst env = { initial: true };\nconst models: [GraphModel | null, GraphModel | null] = [null, null];\nconst inputSize = [[0, 0], [0, 0]];\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet outputNodes: string[]; // different for lite/full/heavy\nlet cache: BodyResult | null = null;\nlet padding: [number, number][] = [[0, 0], [0, 0], [0, 0], [0, 0]];\nlet lastTime = 0;\n\nexport async function loadDetect(config: Config): Promise {\n  if (env.initial) models[0] = null;\n  if (!models[0] && config.body.detector?.modelPath || '') {\n    models[0] = await tf.loadGraphModel(join(config.modelBasePath, config.body.detector?.modelPath || '')) as unknown as GraphModel;\n    const inputs = Object.values(models[0].modelSignature['inputs']);\n    inputSize[0][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;\n    inputSize[0][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;\n    if (!models[0] || !models[0]['modelUrl']) log('load model failed:', config.body.detector?.modelPath);\n    else if (config.debug) log('load model:', models[0]['modelUrl']);\n  } else if (config.debug && models[0]) log('cached model:', models[0]['modelUrl']);\n  return models[0] as GraphModel;\n}\n\nexport async function loadPose(config: Config): Promise {\n  if (env.initial) models[1] = null;\n  if (!models[1]) {\n    models[1] = await tf.loadGraphModel(join(config.modelBasePath, config.body.modelPath || '')) as unknown as GraphModel;\n    const inputs = Object.values(models[1].modelSignature['inputs']);\n    inputSize[1][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;\n    inputSize[1][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;\n    if (config.body.modelPath?.includes('lite')) outputNodes = ['ld_3d', 'output_segmentation', 'output_heatmap', 'world_3d', 'output_poseflag'];\n    else outputNodes = ['Identity', 'Identity_2', 'Identity_3', 'Identity_4', 'Identity_1']; // v2 from pinto full and heavy\n    if (!models[1] || !models[1]['modelUrl']) log('load model failed:', config.body.modelPath);\n    else if (config.debug) log('load model:', models[1]['modelUrl']);\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 loadPose(config);\n  return models;\n}\n\nfunction calculateBoxes(keypoints: Array, outputSize: [number, number]): { keypointsBox: Box, keypointsBoxRaw: Box } {\n  const x = keypoints.map((a) => a.position[0]);\n  const y = keypoints.map((a) => a.position[1]);\n  const keypointsBox: Box = [Math.min(...x), Math.min(...y), Math.max(...x) - Math.min(...x), Math.max(...y) - Math.min(...y)];\n  const keypointsBoxRaw: Box = [keypointsBox[0] / outputSize[0], keypointsBox[1] / outputSize[1], keypointsBox[2] / outputSize[0], keypointsBox[3] / outputSize[1]];\n  return { keypointsBox, keypointsBoxRaw };\n}\n\nasync function prepareImage(input: Tensor): Promise {\n  const t: Record = {};\n  if (!input.shape || !input.shape[1] || !input.shape[2]) return input;\n  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, padding);\n  t.resize = tf.image.resizeBilinear(t.pad, [inputSize[1][0], inputSize[1][1]]);\n  const final = tf.div(t.resize, 255);\n  Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n  return final;\n}\n\nfunction rescaleKeypoints(keypoints: Array, outputSize: [number, number]): Array {\n  for (const kpt of keypoints) {\n    kpt.position = [\n      kpt.position[0] * (outputSize[0] + padding[2][0] + padding[2][1]) / outputSize[0] - padding[2][0],\n      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 = [\n      kpt.position[0] / outputSize[0], kpt.position[1] / outputSize[1], kpt.position[2] as number,\n    ];\n  }\n  return keypoints;\n}\n\nconst sigmoid = (x) => (1 - (1 / (1 + Math.exp(x))));\n\nasync function detectParts(input: Tensor, config: Config, outputSize: [number, number]): Promise {\n  const t: Record = {};\n  t.input = await prepareImage(input);\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  [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 */] = models[1]?.execute(t.input, outputNodes) as Tensor[]; // run model\n  const poseScoreRaw = (await t.poseflag.data())[0];\n  const poseScore = Math.max(0, (poseScoreRaw - 0.8) / (1 - 0.8)); // blow up score variance 5x\n  const points = await t.ld.data();\n  const keypointsRelative: Array = [];\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[1][0], points[depth * i + 1] / inputSize[1][1], 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    keypointsRelative.push({ part: coords.kpt[i], positionRaw, position, score: adjScore });\n  }\n  if (poseScore < (config.body.minConfidence || 0)) return null;\n  const keypoints: Array = rescaleKeypoints(keypointsRelative, outputSize); // keypoints were relative to input image which is cropped\n  const boxes = calculateBoxes(keypoints, [outputSize[0], outputSize[1]]); // now find boxes based on rescaled keypoints\n  Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n  const annotations: Record = {};\n  for (const [name, indexes] of Object.entries(coords.connected)) {\n    const pt: Array = [];\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 && 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 = { id: 0, score: Math.trunc(100 * poseScore) / 100, box: boxes.keypointsBox, boxRaw: boxes.keypointsBoxRaw, keypoints, annotations };\n  return body;\n}\n\nexport async function predict(input: Tensor, 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    cache = await detectParts(input, config, outputSize);\n    lastTime = now();\n    skipped = 0;\n  }\n  if (cache) return [cache];\n  return [];\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: [**NanoDet**](https://github.com/RangiLyu/nanodet)\n */\n\nimport { log, join, now } from '../util/util';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport { labels } from './labels';\nimport type { ObjectResult, Box } from '../result';\nimport type { GraphModel, Tensor } 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 tf.loadGraphModel(join(config.modelBasePath, config.object.modelPath || '')) as unknown as GraphModel;\n    const inputs = Object.values(model.modelSignature['inputs']);\n    inputSize = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;\n    if (!model || !model['modelUrl']) log('load model failed:', config.object.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\n  } else if (config.debug) log('cached model:', model['modelUrl']);\n  return model;\n}\n\nasync function process(res: Tensor | null, outputShape, config: Config) {\n  if (!res) return [];\n  const results: Array = [];\n  const detections = await res.array();\n  const squeezeT = tf.squeeze(res);\n  tf.dispose(res);\n  const arr = tf.split(squeezeT, 6, 1); // x1, y1, x2, y2, score, class\n  tf.dispose(squeezeT);\n  const stackT = tf.stack([arr[1], arr[0], arr[3], arr[2]], 1); // reorder dims as tf.nms expects y, x\n  const boxesT = tf.squeeze(stackT);\n  tf.dispose(stackT);\n  const scoresT = tf.squeeze(arr[4]);\n  const classesT = tf.squeeze(arr[5]);\n  arr.forEach((t) => tf.dispose(t));\n  const nmsT = await tf.image.nonMaxSuppressionAsync(boxesT, scoresT, config.object.maxDetected, config.object.iouThreshold, config.object.minConfidence);\n  tf.dispose(boxesT);\n  tf.dispose(scoresT);\n  tf.dispose(classesT);\n  const nms = await nmsT.data();\n  tf.dispose(nmsT);\n  let i = 0;\n  for (const id of nms) {\n    const score = Math.trunc(100 * detections[0][id][4]) / 100;\n    const classVal = detections[0][id][5];\n    const label = labels[classVal].label;\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  return results;\n}\n\nexport async function predict(input: Tensor, config: Config): Promise {\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], input.shape[1]];\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: Array = [\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 { log, join, now } from '../util/util';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as coords from './efficientposecoords';\nimport type { BodyResult, Point } from '../result';\nimport type { GraphModel, Tensor } 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: {} };\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) {\n    model = await tf.loadGraphModel(join(config.modelBasePath, config.body.modelPath || '')) as unknown as GraphModel;\n    if (!model || !model['modelUrl']) log('load model failed:', config.body.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\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\nfunction max2d(inputs, minScore) {\n  const [width, height] = inputs.shape;\n  return tf.tidy(() => {\n    const reshaped = tf.reshape(inputs, [height * width]); // combine all data\n    const newScore = tf.max(reshaped, 0).dataSync()[0]; // get highest score // inside tf.tidy\n    if (newScore > minScore) { // skip coordinate calculation is score is too low\n      const coordinates = tf.argMax(reshaped, 0);\n      const x = tf.mod(coordinates, width).dataSync()[0]; // inside tf.tidy\n      const y = tf.div(coordinates, tf.scalar(width, 'int32')).dataSync()[0]; // inside tf.tidy\n      return [x, y, newScore];\n    }\n    return [0, 0, newScore];\n  });\n}\n\nexport async function predict(image: Tensor, config: Config): Promise {\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      if (!model?.inputs[0].shape) return null;\n      const resize = tf.image.resizeBilinear(image, [model.inputs[0].shape[2], model.inputs[0].shape[1]], false);\n      const enhance = tf.mul(resize, 2);\n      const norm = enhance.sub(1);\n      return norm;\n    });\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 = resT.squeeze();\n      tf.dispose(resT);\n      // body parts are basically just a stack of 2d tensors\n      const stack = squeeze.unstack(2);\n      tf.dispose(squeeze);\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] = 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],\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: Array = [];\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 * Emotion model implementation\n *\n * [**Oarriaga**](https://github.com/oarriaga/face_classification)\n */\n\nimport { log, join, now } from '../util/util';\nimport type { Config } from '../config';\nimport type { GraphModel, Tensor } from '../tfjs/types';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport { env } from '../util/env';\n\nconst annotations = ['angry', 'disgust', 'fear', 'happy', 'sad', 'surprise', 'neutral'];\nlet model: GraphModel | null;\n// let last: Array<{ score: number, emotion: string }> = [];\nconst last: Array> = [];\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): Promise {\n  if (env.initial) model = null;\n  if (!model) {\n    model = await tf.loadGraphModel(join(config.modelBasePath, config.face.emotion?.modelPath || '')) as unknown as GraphModel;\n    if (!model || !model['modelUrl']) log('load model failed:', config.face.emotion?.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\n  } else if (config.debug) log('cached model:', model['modelUrl']);\n  return model;\n}\n\nexport async function predict(image: Tensor, config: Config, idx, count) {\n  if (!model) return null;\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: Array<{ score: number, emotion: string }> = [];\n    if (config.face.emotion?.enabled) {\n      const t: Record = {};\n      const inputSize = model?.inputs[0].shape ? model.inputs[0].shape[2] : 0;\n      t.resize = tf.image.resizeBilinear(image, [inputSize, inputSize], false);\n      // const box = [[0.15, 0.15, 0.85, 0.85]]; // empyrical values for top, left, bottom, right\n      // const resize = tf.image.cropAndResize(image, box, [0], [inputSize, inputSize]);\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.grayscaleSub = tf.sub(t.grayscale, 0.5);\n      t.grayscaleMul = tf.mul(t.grayscaleSub, 2);\n      t.emotion = model?.execute(t.grayscaleMul) as Tensor; // result is already in range 0..1, no need for additional activation\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] });\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", "import * as coords from './facemeshcoords';\nimport * as util from './facemeshutil';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport type { Tensor, GraphModel } from '../tfjs/types';\nimport { env } from '../util/env';\nimport { log, join } from '../util/util';\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) {\n    model = await tf.loadGraphModel(join(config.modelBasePath, config.face.iris?.modelPath || '')) as unknown as GraphModel;\n    if (!model || !model['modelUrl']) log('load model failed:', config.face.iris?.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\n  } else if (config.debug) log('cached model:', model['modelUrl']);\n  inputSize = 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\n// Update the z coordinate to be an average of the original and the new.\nfunction replaceRawCoordinates(rawCoords, newCoords, prefix, keys) {\n  for (let i = 0; i < coords.MESH_TO_IRIS_INDICES_MAP.length; i++) {\n    const { key, indices } = coords.MESH_TO_IRIS_INDICES_MAP[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], newCoords[index][1],\n          (newCoords[index][2] + rawCoords[originalIndices[j]][2]) / 2,\n        ];\n      }\n    }\n  }\n}\n\n// eslint-disable-next-line class-methods-use-this\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: Array = [];\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.\n// eslint-disable-next-line class-methods-use-this\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, config, meshSize) {\n  if (!model) {\n    if (config.debug) log('face mesh iris detection requested, but model is not loaded');\n    return rawCoords;\n  }\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);\n  const leftToRightEyeDepthDifference = getLeftToRightEyeDepthDifference(rawCoords);\n  if (Math.abs(leftToRightEyeDepthDifference) < 30) { // User is looking straight ahead.\n    replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left', null);\n    replaceRawCoordinates(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\n    // 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    replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left', ['EyeUpper0', 'EyeLower0']);\n  } else { // User is looking towards the left.\n    replaceRawCoordinates(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", "/**\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 { log, join, now } from '../util/util';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as blazeface from './blazeface';\nimport * as util from './facemeshutil';\nimport * as coords from './facemeshcoords';\nimport * as iris from './iris';\nimport { histogramEqualization } from '../image/enhance';\nimport { env } from '../util/env';\nimport type { GraphModel, Tensor } from '../tfjs/types';\nimport type { FaceResult, Point } from '../result';\nimport type { Config } from '../config';\n\ntype BoxCache = { startPoint: Point, endPoint: Point, landmarks: Array, confidence: number };\nlet boxCache: Array = [];\nlet model: GraphModel | null = null;\nlet inputSize = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet lastTime = 0;\nconst enlargeFact = 1.6;\n\nexport async function predict(input: Tensor, config: Config): Promise {\n  // reset cached boxes\n\n  const skipTime = (config.face.detector?.skipTime || 0) > (now() - lastTime);\n  const skipFrame = skipped < (config.face.detector?.skipFrames || 0);\n  if (!config.skipAllowed || !skipTime || !skipFrame || boxCache.length === 0) {\n    const possibleBoxes = await blazeface.getBoxes(input, config); // get results from blazeface detector\n    lastTime = now();\n    boxCache = []; // empty cache\n    for (const possible of possibleBoxes.boxes) { // extract data from detector\n      const box: BoxCache = {\n        startPoint: possible.box.startPoint,\n        endPoint: possible.box.endPoint,\n        landmarks: possible.landmarks,\n        confidence: possible.confidence,\n      };\n      boxCache.push(util.squarifyBox(util.enlargeBox(util.scaleBoxCoordinates(box, possibleBoxes.scaleFactor), Math.sqrt(enlargeFact))));\n    }\n    skipped = 0;\n  } else {\n    skipped++;\n  }\n  const faces: Array = [];\n  const newCache: Array = [];\n  let id = 0;\n  for (let i = 0; i < boxCache.length; i++) {\n    let box = boxCache[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      annotations: {},\n    };\n\n    [angle, rotationMatrix, face.tensor] = util.correctFaceRotation(false && config.face.detector?.rotation, box, input, inputSize); // optional rotate based on detector data // disabled\n    if (config?.filter?.equalization) {\n      const equilized = await histogramEqualization(face.tensor as Tensor);\n      tf.dispose(face.tensor);\n      face.tensor = equilized;\n    }\n    face.boxScore = Math.round(100 * box.confidence) / 100;\n    if (!config.face.mesh?.enabled) { // mesh not enabled, return resuts from detector only\n      face.box = util.getClampedBox(box, input);\n      face.boxRaw = util.getRawBox(box, input);\n      face.score = face.boxScore;\n      face.mesh = box.landmarks.map((pt) => [\n        ((box.startPoint[0] + box.endPoint[0])) / 2 + ((box.endPoint[0] + box.startPoint[0]) * pt[0] / blazeface.size()),\n        ((box.startPoint[1] + box.endPoint[1])) / 2 + ((box.endPoint[1] + box.startPoint[1]) * pt[1] / blazeface.size()),\n      ]);\n      face.meshRaw = face.mesh.map((pt) => [pt[0] / (input.shape[2] || 0), pt[1] / (input.shape[1] || 0), (pt[2] || 0) / inputSize]);\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      const [contours, confidence, contourCoords] = model.execute(face.tensor as Tensor) as Array; // first returned tensor represents facial contours which are already included in the coordinates.\n      const faceConfidence = await confidence.data();\n      face.faceScore = Math.round(100 * faceConfidence[0]) / 100;\n      const coordsReshaped = tf.reshape(contourCoords, [-1, 3]);\n      let rawCoords = await coordsReshaped.array();\n      tf.dispose([contourCoords, coordsReshaped, confidence, contours]);\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      } else {\n        if (config.face.iris?.enabled) rawCoords = await iris.augmentIris(rawCoords, face.tensor, config, inputSize); // augment results with iris\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) / inputSize]);\n        for (const key of Object.keys(coords.meshAnnotations)) face.annotations[key] = coords.meshAnnotations[key].map((index) => face.mesh[index]); // add annotations\n        box = util.squarifyBox({ ...util.enlargeBox(util.calculateLandmarksBoundingBox(face.mesh), enlargeFact), confidence: box.confidence }); // redefine box with mesh calculated one\n        face.box = util.getClampedBox(box, input); // update detected box with box around the face mesh\n        face.boxRaw = util.getRawBox(box, input);\n        face.score = face.faceScore;\n        newCache.push(box);\n        tf.dispose(face.tensor);\n        [angle, rotationMatrix, face.tensor] = util.correctFaceRotation(config.face.detector?.rotation, box, input, inputSize); // optional rotate once more based on mesh data\n      }\n    }\n    faces.push(face);\n  }\n  boxCache = [...newCache]; // reset cache\n  return faces;\n}\n\nexport async function load(config: Config): Promise {\n  if (env.initial) model = null;\n  if (!model) {\n    model = await tf.loadGraphModel(join(config.modelBasePath, config.face.mesh?.modelPath || '')) as unknown as GraphModel;\n    if (!model || !model['modelUrl']) log('load model failed:', config.face.mesh?.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\n  } else if (config.debug) log('cached model:', model['modelUrl']);\n  inputSize = model.inputs[0].shape ? model.inputs[0].shape[2] : 0;\n  if (inputSize === -1) inputSize = 64;\n  return model;\n}\n\nexport const triangulation = coords.TRI468;\nexport const uvmap = coords.UV468;\n", "/**\n * FaceRes model implementation\n *\n * Returns Age, Gender, Descriptor\n * Implements Face simmilarity function\n *\n * Based on: [**HSE-FaceRes**](https://github.com/HSE-asavchenko/HSE_FaceRec_tf)\n */\n\nimport { log, join, now } from '../util/util';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport type { Tensor, GraphModel } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\nconst last: Array<{\n  age: number,\n  gender: string,\n  genderScore: number,\n  descriptor: number[],\n}> = [];\n\nlet lastTime = 0;\nlet lastCount = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config: Config): Promise {\n  const modelUrl = join(config.modelBasePath, config.face.description?.modelPath || '');\n  if (env.initial) model = null;\n  if (!model) {\n    model = await tf.loadGraphModel(modelUrl) as unknown as GraphModel;\n    if (!model) log('load model failed:', config.face.description?.modelPath || '');\n    else if (config.debug) log('load model:', modelUrl);\n  } else if (config.debug) log('cached model:', modelUrl);\n  return model;\n}\n\nexport function enhance(input): Tensor {\n  const tensor = (input.image || input.tensor || input) as Tensor; // 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  // do a tight crop of image and resize it to fit the model\n  const crop = tf.image.resizeBilinear(tensor, [model.inputs[0].shape[2], model.inputs[0].shape[1]], false);\n  const norm = tf.mul(crop, 255);\n  tf.dispose(crop);\n  return norm;\n  /*\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  // just resize to fit the embedding model instead of cropping\n  const crop = tf.image.resizeBilinear(tensor, [model.inputs[0].shape[2], model.inputs[0].shape[1]], false);\n  */\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  /*\n  // increase image pseudo-contrast 100%\n  // (or do it per-channel so mean is done on each channel)\n  // (or calculate histogram and do it based on histogram)\n  const mean = merge.mean();\n  const factor = 2;\n  const contrast = merge.sub(mean).mul(factor).add(mean);\n  */\n\n  /*\n  // normalize brightness from 0..1\n  // silly way of creating pseudo-hdr of image\n  const darken = crop.sub(crop.min());\n  const lighten = darken.div(darken.max());\n  */\n}\n\nexport async function predict(image: Tensor, config: Config, idx, count) {\n  if (!model) return null;\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 && (last[idx]?.age > 0)) {\n    skipped++;\n    return last[idx];\n  }\n  skipped = 0;\n  return new Promise(async (resolve) => {\n    const obj = {\n      age: 0,\n      gender: 'unknown',\n      genderScore: 0,\n      descriptor: [],\n    };\n\n    if (config.face.description?.enabled) {\n      const enhanced = enhance(image);\n      const resT = model?.execute(enhanced) as Tensor[];\n      lastTime = now();\n      tf.dispose(enhanced);\n      const genderT = await 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), 1);\n      const age = (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[age - 1] > all[age + 1] ? 10 * age - 100 * all[age - 1] : 10 * age + 100 * all[age + 1]) / 10;\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() : [];\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 * 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: Array = [];\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: Array = [];\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 type { Tensor, GraphModel } from '../tfjs/types';\nimport type { Point } from '../result';\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) {\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 && this.model.inputs && this.model.inputs[0].shape) ? 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, t.endPoints], 1);\n    Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n    return res;\n  }\n\n  normalizeLandmarks(rawPalmLandmarks, index) {\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]);\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, 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, 127.5);\n    t.image = tf.sub(t.div, 1);\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, t.scores, 3 * config.hand.maxDetected, config.hand.iouThreshold, config.hand.minConfidence);\n    const nms = await t.nms.array() as Array;\n    const hands: Array<{ 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] / this.inputSize, input.shape[1] / 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 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: Array<{ 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 && this.handPoseModel.inputs[0].shape ? this.handPoseModel.inputs[0].shape[2] : 0;\n    this.storedBoxes = [];\n    this.skipped = Number.MAX_SAFE_INTEGER;\n    this.detectedHands = 0;\n  }\n\n  // eslint-disable-next-line class-methods-use-this\n  calculateLandmarksBoundingBox(landmarks) {\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: Array<{ 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 = [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, 255);\n        tf.dispose(croppedInput);\n        tf.dispose(rotatedImage);\n        const [confidenceT, keypoints] = this.handPoseModel.execute(handImage) as Array;\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 * 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\n// eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars\nconst { thumb, index, middle, ring, pinky } = Finger;\n// eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars\nconst { none, half, full } = FingerCurl;\n// eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars\nconst { 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\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: Array = [];\n  const slopesYZ: Array = [];\n  const fingerCurls: Array = [];\n  const fingerDirections: Array = [];\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: Array = [];\n    const slopeAtYZ: Array = [];\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: Array<{ 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 * HandPose model implementation\n *\n * Based on: [**MediaPipe HandPose**](https://drive.google.com/file/d/1sv4sSb9BSNVZhLzxXJ0jBv9DqD-4jnAz/view)\n */\n\nimport { log, join } from '../util/util';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as handdetector from './handposedetector';\nimport * as handpipeline from './handposepipeline';\nimport * as fingerPose from './fingerpose';\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: Array = [];\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\n    const keypoints = predictions[i].landmarks as unknown as Array;\n\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 ? tf.loadGraphModel(join(config.modelBasePath, config.hand.detector?.modelPath || ''), { fromTFHub: (config.hand.detector?.modelPath || '').includes('tfhub.dev') }) as unknown as GraphModel : null,\n      config.hand.landmarks ? tf.loadGraphModel(join(config.modelBasePath, config.hand.skeleton?.modelPath || ''), { fromTFHub: (config.hand.skeleton?.modelPath || '').includes('tfhub.dev') }) as unknown as GraphModel : null,\n    ]);\n    if (config.hand.enabled) {\n      if (!handDetectorModel || !handDetectorModel['modelUrl']) log('load model failed:', config.hand.detector?.modelPath || '');\n      else if (config.debug) log('load model:', handDetectorModel['modelUrl']);\n      if (!handPoseModel || !handPoseModel['modelUrl']) log('load model failed:', config.hand.skeleton?.modelPath || '');\n      else if (config.debug) log('load model:', handPoseModel['modelUrl']);\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 = new handdetector.HandDetector(handDetectorModel);\n  handPipeline = new handpipeline.HandPipeline(handDetector, handPoseModel);\n  return [handDetectorModel, handPoseModel];\n}\n", "import type { Point, Box } from '../result';\n\nexport function calc(keypoints: Array, 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: Array, 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 * 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 { log, join, now } from '../util/util';\nimport * as box from '../util/box';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport type { HandResult, Box, Point } from '../result';\nimport type { GraphModel, Tensor } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\nimport * as fingerPose from './fingerpose';\nimport { fakeOps } from '../tfjs/backend';\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\ntype HandDetectResult = {\n  id: number,\n  score: number,\n  box: Box,\n  boxRaw: Box,\n  boxCrop: Box,\n  label: string,\n}\n\nconst cache: {\n  boxes: Array,\n  hands: Array;\n} = {\n  boxes: [],\n  hands: [],\n};\n\nconst fingerMap = {\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\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 tf.loadGraphModel(join(config.modelBasePath, config.hand.detector?.modelPath || '')) as unknown as GraphModel;\n    const inputs = Object.values(models[0].modelSignature['inputs']);\n    inputSize[0][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;\n    inputSize[0][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;\n    if (!models[0] || !models[0]['modelUrl']) log('load model failed:', config.hand.detector?.modelPath);\n    else if (config.debug) log('load model:', models[0]['modelUrl']);\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 tf.loadGraphModel(join(config.modelBasePath, config.hand.skeleton?.modelPath || '')) as unknown as GraphModel;\n    const inputs = Object.values(models[1].modelSignature['inputs']);\n    inputSize[1][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;\n    inputSize[1][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;\n    if (!models[1] || !models[1]['modelUrl']) log('load model failed:', config.hand.skeleton?.modelPath);\n    else if (config.debug) log('load model:', models[1]['modelUrl']);\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: Tensor, 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: Array = 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.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, t.max, config.hand.maxDetected, config.hand.iouThreshold, config.hand.minConfidence);\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 boxSquareSize = Math.max(boxData[3] - boxData[1], boxData[2] - boxData[0]);\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 boxCrop: Box = box.crop(boxRaw); // crop box is based on raw box\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]];\n    const hand: HandDetectResult = { id: id++, score, box: boxFull, boxRaw, boxCrop, 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: Tensor, 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    t.crop = tf.image.cropAndResize(input, [h.boxCrop], [0], [inputSize[1][0], inputSize[1][1]], 'bilinear');\n    t.cast = tf.cast(t.crop, 'float32');\n    t.div = tf.div(t.cast, 255);\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) => [\n        outputSize[0] * (kpt[0] + h.boxRaw[0]),\n        outputSize[1] * (kpt[1] + h.boxRaw[1]),\n        (kpt[2] || 0),\n      ]);\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) => (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: Tensor, config: Config): Promise {\n  if (!models[0] || !models[1] || !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, boxCrop });\n        }\n      }\n    }\n    for (let i = 0; i < cache.hands.length; i++) { // replace deteced 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 * Anti-spoofing model implementation\n */\n\nimport { log, join, now } from '../util/util';\nimport type { Config } from '../config';\nimport type { GraphModel, Tensor } from '../tfjs/types';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\nconst cached: Array = [];\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) {\n    model = await tf.loadGraphModel(join(config.modelBasePath, config.face.liveness?.modelPath || '')) as unknown as GraphModel;\n    if (!model || !model['modelUrl']) log('load model failed:', config.face.liveness?.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\n  } else if (config.debug) log('cached model:', model['modelUrl']);\n  return model;\n}\n\nexport async function predict(image: Tensor, config: Config, idx, count) {\n  if (!model) return null;\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", "export const kpt: Array = [ // 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: Array = [ // 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: Array = [ // used to remove unlikely keypoint positions\n  ['leftKnee', 'leftShoulder'],\n  ['rightKnee', 'rightShoulder'],\n  ['leftAnkle', 'leftKnee'],\n  ['rightAnkle', 'rightKnee'],\n];\n\nexport const relative: Array = [ // 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", "import type { BodyKeypoint, BodyResult } from '../result';\nimport * as box from '../util/box';\nimport * as coords from './movenetcoords';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport type { Tensor } from '../tfjs/types';\n\nconst maxJitter = 0.005; // default allowed jitter is within 0.5%\n\nconst cache: {\n  keypoints: Array,\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: Array): Array {\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 || !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, [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 && 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 { log, join, now } from '../util/util';\nimport * as box from '../util/box';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as coords from './movenetcoords';\nimport * as fix from './movenetfix';\nimport type { BodyKeypoint, BodyResult, 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: Array, // unused\n  bodies: Array;\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 tf.loadGraphModel(join(config.modelBasePath, config.body.modelPath || '')) as unknown as GraphModel;\n    if (!model || !model['modelUrl']) log('load model failed:', config.body.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\n  } else if (config.debug) log('cached model:', model['modelUrl']);\n  inputSize = model.inputs[0].shape ? model.inputs[0].shape[2] : 0;\n  if (inputSize === -1) inputSize = 256;\n  return model;\n}\n\nasync function parseSinglePose(res, config, image, inputBox) {\n  const kpt = res[0][0];\n  const keypoints: Array = [];\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 = [\n        (inputBox[3] - inputBox[1]) * kpt[id][1] + inputBox[1],\n        (inputBox[2] - inputBox[0]) * kpt[id][0] + inputBox[0],\n      ];\n      keypoints.push({\n        score: Math.round(100 * score) / 100,\n        part: coords.kpt[id],\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: Array = [];\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: Array = [];\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\nasync function parseMultiPose(res, config, image, inputBox) {\n  const bodies: Array = [];\n  for (let id = 0; id < res[0].length; id++) {\n    const kpt = res[0][id];\n    const totalScore = Math.round(100 * kpt[51 + 4]) / 100;\n    if (totalScore > config.body.minConfidence) {\n      const keypoints: Array = [];\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 = [\n            (inputBox[3] - inputBox[1]) * kpt[3 * i + 1] + inputBox[1],\n            (inputBox[2] - inputBox[0]) * kpt[3 * i + 0] + inputBox[0],\n          ];\n          keypoints.push({\n            part: coords.kpt[i],\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 box: 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 = {};\n      for (const [name, indexes] of Object.entries(coords.connected)) {\n        const pt: Array = [];\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      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 || !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 cached boxes\n    /*\n    cache.bodies = []; // reset bodies result\n    if (cache.boxes.length >= (config.body.maxDetected || 0)) { // if we have enough cached boxes run detection using cache\n      for (let i = 0; i < cache.boxes.length; i++) { // run detection based on cached boxes\n        t.crop = tf.image.cropAndResize(input, [cache.boxes[i]], [0], [inputSize, inputSize], 'bilinear');\n        t.cast = tf.cast(t.crop, 'int32');\n        // t.input = prepareImage(input);\n        t.res = model?.execute(t.cast) as Tensor;\n        const res = await t.res.array();\n        const newBodies = (t.res.shape[2] === 17) ? await parseSinglePose(res, config, input, cache.boxes[i]) : await parseMultiPose(res, config, input, cache.boxes[i]);\n        cache.bodies = cache.bodies.concat(newBodies);\n        Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n      }\n    }\n    if (cache.bodies.length !== config.body.maxDetected) { // did not find enough bodies based on cached boxes so run detection on full frame\n      t.input = prepareImage(input);\n      t.res = model?.execute(t.input) as Tensor;\n      const res = await t.res.array();\n      cache.bodies = (t.res.shape[2] === 17) ? await parseSinglePose(res, config, input, [0, 0, 1, 1]) : await parseMultiPose(res, config, input, [0, 0, 1, 1]);\n      for (const body of cache.bodies) rescaleBody(body, [input.shape[2] || 1, input.shape[1] || 1]);\n      Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n    }\n    cache.boxes.length = 0; // reset cache\n    for (let i = 0; i < cache.bodies.length; i++) {\n      if (cache.bodies[i].keypoints.length > (coords.kpt.length / 2)) { // only update cache if we detected at least half keypoints\n        const scaledBox = box.scale(cache.bodies[i].boxRaw, boxExpandFact);\n        const cropBox = box.crop(scaledBox);\n        cache.boxes.push(cropBox);\n      }\n    }\n    */\n\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      ? await parseSinglePose(res, config, input, [0, 0, 1, 1])\n      : await parseMultiPose(res, config, input, [0, 0, 1, 1]);\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: [**MB3-CenterNet**](https://github.com/610265158/mobilenetv3_centernet)\n */\n\nimport { log, join, now } from '../util/util';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport { labels } from './labels';\nimport type { ObjectResult, Box } from '../result';\nimport type { GraphModel, Tensor } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\n\nlet model;\nlet last: Array = [];\nlet lastTime = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nconst scaleBox = 2.5; // increase box size\n\nexport async function load(config: Config): Promise {\n  if (!model || env.initial) {\n    model = await tf.loadGraphModel(join(config.modelBasePath, config.object.modelPath || ''));\n    const inputs = Object.values(model.modelSignature['inputs']);\n    model.inputSize = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : null;\n    if (!model.inputSize) throw new Error(`cannot determine model inputSize: ${config.object.modelPath}`);\n    if (!model || !model.modelUrl) log('load model failed:', config.object.modelPath);\n    else if (config.debug) log('load model:', model.modelUrl);\n  } else if (config.debug) log('cached model:', model.modelUrl);\n  return model;\n}\n\nasync function process(res, inputSize, outputShape, config) {\n  let id = 0;\n  let results: Array = [];\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    tf.tidy(async () => { // wrap in tidy to automatically deallocate temp tensors\n      const baseSize = strideSize * 13; // 13x13=169, 26x26=676, 52x52=2704\n      // find boxes and scores output depending on stride\n      const scoresT = res.find((a) => (a.shape[1] === (baseSize ** 2) && a.shape[2] === labels.length))?.squeeze();\n      const featuresT = res.find((a) => (a.shape[1] === (baseSize ** 2) && a.shape[2] < labels.length))?.squeeze();\n      const boxesMax = featuresT.reshape([-1, 4, featuresT.shape[1] / 4]); // reshape [output] to [4, output / 4] where number is number of different features inside each stride\n      const boxIdx = await boxesMax.argMax(2).array(); // what we need is indexes of features with highest scores, not values itself\n      const scores = await scoresT.array(); // optionally use exponential scores or just as-is\n      for (let i = 0; i < scoresT.shape[0]; i++) { // total strides (x * y matrix)\n        for (let j = 0; j < scoresT.shape[1]; j++) { // one score for each class\n          const score = scores[i][j]; // get score for current position\n          if (score > config.object.minConfidence && 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) => a * (baseSize / strideSize / inputSize)); // 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,\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    });\n  }\n  // deallocate tensors\n  res.forEach((t) => tf.dispose(t));\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: Array = [];\n  if (nmsBoxes && nmsBoxes.length > 0) {\n    const nms = await tf.image.nonMaxSuppressionAsync(nmsBoxes, nmsScores, config.object.maxDetected, config.object.iouThreshold, config.object.minConfidence);\n    nmsIdx = 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: Tensor, config: Config): Promise {\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], image.shape[1]];\n    const resize = tf.image.resizeBilinear(image, [model.inputSize, model.inputSize], false);\n    const norm = tf.div(resize, 255);\n    const transpose = norm.transpose([0, 3, 1, 2]);\n    tf.dispose(norm);\n    tf.dispose(resize);\n\n    let objectT;\n    if (config.object.enabled) objectT = model.execute(transpose);\n    lastTime = now();\n    tf.dispose(transpose);\n\n    const obj = await process(objectT, model.inputSize, outputSize, config);\n    last = obj;\n    resolve(obj);\n  });\n}\n", "/**\n * PoseNet body detection model implementation constants\n * See `posenet.ts` for entry point\n */\n\nimport type { BodyResult } 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]): Array {\n  const scaleY = height / inputResolutionHeight;\n  const scaleX = width / inputResolutionWidth;\n  const scalePose = (pose, i) => ({\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,\n      part,\n      position: [Math.trunc(position.x * scaleX), Math.trunc(position.y * scaleY)],\n      positionRaw: [position.x / inputResolutionHeight, position.y / inputResolutionHeight],\n    })),\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: Array; // 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, 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, 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, b) {\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 { log, join } from '../util/util';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport type { BodyResult, Box } from '../result';\nimport type { Tensor, GraphModel } 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 */];\n\nconst localMaximumRadius = 1;\nconst outputStride = 16;\nconst squaredNmsRadius = 50 ** 2;\n\nfunction traverse(edgeId, 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],\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, heatmapY, heatmapX, scores) {\n  const [height, width] = 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: Array<{ 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: Tensor, config: Config): Promise {\n  /** posenet is mostly obsolete\n   * caching is not implemented\n   */\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: Array = model.execute(normalized, poseNetOutputs) as Array;\n    const results3d = results.map((y) => tf.squeeze(y, [0]));\n    results3d[1] = results3d[1].sigmoid(); // 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 = await 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]]) as BodyResult[];\n  return scaled;\n}\n\nexport async function load(config: Config): Promise {\n  if (!model || env.initial) {\n    model = await tf.loadGraphModel(join(config.modelBasePath, config.body.modelPath || '')) as unknown as GraphModel;\n    if (!model || !model['modelUrl']) log('load model failed:', config.body.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\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 * - [**MediaPipe Meet**](https://drive.google.com/file/d/1lnP1bRi9CSqQQXUHa13159vLELYDgDu0/preview)\n * - [**MediaPipe Selfie**](https://drive.google.com/file/d/1dCfozqknMa068vVsO2j_1FgZkW_e3VWv/preview)\n */\n\nimport { log, join } from '../util/util';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as image from '../image/image';\nimport type { GraphModel, Tensor } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\nimport type { Input } from '../exports';\n\nlet model: GraphModel;\nlet busy = false;\n\nexport async function load(config: Config): Promise {\n  if (!model || env.initial) {\n    model = await tf.loadGraphModel(join(config.modelBasePath, config.segmentation.modelPath || '')) as unknown as GraphModel;\n    if (!model || !model['modelUrl']) log('load model failed:', config.segmentation.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\n  } else if (config.debug) log('cached model:', model['modelUrl']);\n  return model;\n}\n\nexport async function process(input: Input, background: Input | undefined, config: Config)\n: Promise<{ data: Array, canvas: HTMLCanvasElement | OffscreenCanvas | null, alpha: HTMLCanvasElement | OffscreenCanvas | null }> {\n  if (busy) return { data: [], canvas: null, alpha: null };\n  busy = true;\n  if (!model) await load(config);\n  const inputImage = await image.process(input, config);\n  const width = inputImage.canvas?.width || 0;\n  const height = inputImage.canvas?.height || 0;\n  if (!inputImage.tensor) return { data: [], canvas: null, alpha: null };\n  const t: Record = {};\n\n  t.resize = tf.image.resizeBilinear(inputImage.tensor, [model.inputs[0].shape ? model.inputs[0].shape[1] : 0, model.inputs[0].shape ? model.inputs[0].shape[2] : 0], false);\n  tf.dispose(inputImage.tensor);\n  t.norm = tf.div(t.resize, 255);\n  t.res = model.execute(t.norm) as Tensor;\n\n  t.squeeze = tf.squeeze(t.res, 0); // meet.shape:[1,256,256,1], selfie.shape:[1,144,256,2]\n  if (t.squeeze.shape[2] === 2) {\n    t.softmax = tf.softmax(t.squeeze); // model meet has two channels for fg and bg\n    [t.bg, t.fg] = tf.unstack(t.softmax, 2);\n    t.expand = tf.expandDims(t.fg, 2);\n    t.pad = tf.expandDims(t.expand, 0);\n    t.crop = tf.image.cropAndResize(t.pad, [[0, 0, 0.5, 0.5]], [0], [width, height]);\n    // running sofmax before unstack creates 2x2 matrix so we only take upper-left quadrant\n    // otherwise run softmax after unstack and use standard resize\n    // resizeOutput = tf.image.resizeBilinear(expand, [input.tensor?.shape[1], input.tensor?.shape[2]]);\n    t.data = tf.squeeze(t.crop, 0);\n  } else {\n    t.data = tf.image.resizeBilinear(t.squeeze, [height, width]); // model selfie has a single channel that we can use directly\n  }\n  const data = Array.from(await t.data.data()) as number[];\n\n  if (env.node && !env.Canvas && (typeof ImageData === 'undefined')) {\n    if (config.debug) log('canvas support missing');\n    Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n    return { data, canvas: null, alpha: null }; // running in nodejs so return alpha array as-is\n  }\n\n  const alphaCanvas = image.canvas(width, height);\n  await tf.browser.toPixels(t.data, alphaCanvas);\n  const alphaCtx = alphaCanvas.getContext('2d') as CanvasRenderingContext2D;\n  if (config.segmentation.blur && config.segmentation.blur > 0) alphaCtx.filter = `blur(${config.segmentation.blur}px)`; // use css filter for bluring, can be done with gaussian blur manually instead\n  const alphaData = alphaCtx.getImageData(0, 0, width, height);\n\n  const compositeCanvas = image.canvas(width, height);\n  const compositeCtx = compositeCanvas.getContext('2d') as CanvasRenderingContext2D;\n  if (inputImage.canvas) compositeCtx.drawImage(inputImage.canvas, 0, 0);\n  compositeCtx.globalCompositeOperation = 'darken'; // https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/globalCompositeOperation // best options are: darken, color-burn, multiply\n  if (config.segmentation.blur && config.segmentation.blur > 0) compositeCtx.filter = `blur(${config.segmentation.blur}px)`; // use css filter for bluring, can be done with gaussian blur manually instead\n  compositeCtx.drawImage(alphaCanvas, 0, 0);\n  compositeCtx.globalCompositeOperation = 'source-over'; // reset composite operation\n  compositeCtx.filter = 'none'; // reset css filter\n  const compositeData = compositeCtx.getImageData(0, 0, width, height);\n  for (let i = 0; i < width * height; i++) compositeData.data[4 * i + 3] = alphaData.data[4 * i + 0]; // copy original alpha value to new composite canvas\n  compositeCtx.putImageData(compositeData, 0, 0);\n\n  let mergedCanvas: HTMLCanvasElement | OffscreenCanvas | null = null;\n  if (background && compositeCanvas) { // draw background with segmentation as overlay if background is present\n    mergedCanvas = image.canvas(width, height);\n    const bgImage = await image.process(background, config);\n    tf.dispose(bgImage.tensor);\n    const ctxMerge = mergedCanvas.getContext('2d') as CanvasRenderingContext2D;\n    ctxMerge.drawImage(bgImage.canvas as HTMLCanvasElement, 0, 0, mergedCanvas.width, mergedCanvas.height);\n    ctxMerge.drawImage(compositeCanvas, 0, 0);\n  }\n\n  Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n  busy = false;\n\n  return { data, canvas: mergedCanvas || compositeCanvas, alpha: alphaCanvas };\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 agegenderrace from './gear/gear-agegenderrace';\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 handpose from './hand/handpose';\nimport * as handtrack from './hand/handtrack';\nimport * as iris from './face/iris';\nimport * as liveness from './face/liveness';\nimport * as movenet from './body/movenet';\nimport * as nanodet from './object/nanodet';\nimport * as posenet from './body/posenet';\nimport * as segmentation from './segmentation/segmentation';\nimport type { GraphModel } from './tfjs/types';\nimport type { Human } from './human';\n\n/** Instances of all possible TFJS Graph Models used by Human\n * - loaded as needed based on configuration\n * - initialized explictly with `human.load()` method\n * - initialized implicity on first call to `human.detect()`\n * - each model can be `null` if not loaded, instance of `GraphModel` if loaded or `Promise` if loading\n */\nexport class Models {\n  age: null | GraphModel | Promise = null;\n  agegenderrace: null | GraphModel | Promise = null;\n  blazeposedetect: null | GraphModel | Promise = null;\n  blazepose: null | GraphModel | Promise = null;\n  centernet: null | GraphModel | Promise = null;\n  efficientpose: null | GraphModel | Promise = null;\n  embedding: null | GraphModel | Promise = null;\n  emotion: null | GraphModel | Promise = null;\n  facedetect: null | GraphModel | Promise = null;\n  faceiris: null | GraphModel | Promise = null;\n  facemesh: null | GraphModel | Promise = null;\n  faceres: null | GraphModel | Promise = null;\n  gender: null | GraphModel | Promise = null;\n  handpose: null | GraphModel | Promise = null;\n  handskeleton: null | GraphModel | Promise = null;\n  handtrack: null | GraphModel | Promise = null;\n  liveness: null | GraphModel | Promise = null;\n  movenet: null | GraphModel | Promise = null;\n  nanodet: null | GraphModel | Promise = null;\n  posenet: null | GraphModel | Promise = null;\n  segmentation: null | GraphModel | Promise = null;\n  antispoof: null | GraphModel | Promise = null;\n}\n\nexport function reset(instance: Human): void {\n  // if (instance.config.debug) log('resetting loaded models');\n  for (const model of Object.keys(instance.models)) instance.models[model] = null;\n}\n\n/** Load method preloads all instance.configured models on-demand */\nexport async function load(instance: Human): Promise {\n  if (env.initial) reset(instance);\n  if (instance.config.hand.enabled) { // handpose model is a combo that must be loaded as a whole\n    if (!instance.models.handpose && instance.config.hand.detector?.modelPath?.includes('handdetect')) [instance.models.handpose, instance.models.handskeleton] = await handpose.load(instance.config);\n    if (!instance.models.handskeleton && instance.config.hand.landmarks && instance.config.hand.detector?.modelPath?.includes('handdetect')) [instance.models.handpose, instance.models.handskeleton] = await handpose.load(instance.config);\n  }\n  if (instance.config.body.enabled && !instance.models.blazepose && instance.config.body?.modelPath?.includes('blazepose')) instance.models.blazepose = blazepose.loadPose(instance.config);\n  if (instance.config.body.enabled && !instance.models.blazeposedetect && instance.config.body.detector?.modelPath && instance.config.body?.modelPath?.includes('blazepose')) instance.models.blazeposedetect = blazepose.loadDetect(instance.config);\n  if (instance.config.body.enabled && !instance.models.efficientpose && instance.config.body?.modelPath?.includes('efficientpose')) instance.models.efficientpose = efficientpose.load(instance.config);\n  if (instance.config.body.enabled && !instance.models.efficientpose && instance.config.body?.modelPath?.includes('efficientpose')) instance.models.efficientpose = efficientpose.load(instance.config);\n  if (instance.config.body.enabled && !instance.models.movenet && instance.config.body?.modelPath?.includes('movenet')) instance.models.movenet = movenet.load(instance.config);\n  if (instance.config.body.enabled && !instance.models.posenet && instance.config.body?.modelPath?.includes('posenet')) instance.models.posenet = posenet.load(instance.config);\n  if (instance.config.face.enabled && !instance.models.facedetect) instance.models.facedetect = blazeface.load(instance.config);\n  if (instance.config.face.enabled && instance.config.face.antispoof?.enabled && !instance.models.antispoof) instance.models.antispoof = antispoof.load(instance.config);\n  if (instance.config.face.enabled && instance.config.face.liveness?.enabled && !instance.models.liveness) instance.models.liveness = liveness.load(instance.config);\n  if (instance.config.face.enabled && instance.config.face.description?.enabled && !instance.models.faceres) instance.models.faceres = faceres.load(instance.config);\n  if (instance.config.face.enabled && instance.config.face.emotion?.enabled && !instance.models.emotion) instance.models.emotion = emotion.load(instance.config);\n  if (instance.config.face.enabled && instance.config.face.iris?.enabled && !instance.models.faceiris) instance.models.faceiris = iris.load(instance.config);\n  if (instance.config.face.enabled && instance.config.face.mesh?.enabled && !instance.models.facemesh) instance.models.facemesh = facemesh.load(instance.config);\n  if (instance.config.face.enabled && instance.config.face['agegenderrace']?.enabled && !instance.models.agegenderrace) instance.models.agegenderrace = agegenderrace.load(instance.config);\n  if (instance.config.hand.enabled && !instance.models.handtrack && instance.config.hand.detector?.modelPath?.includes('handtrack')) instance.models.handtrack = handtrack.loadDetect(instance.config);\n  if (instance.config.hand.enabled && instance.config.hand.landmarks && !instance.models.handskeleton && instance.config.hand.detector?.modelPath?.includes('handtrack')) instance.models.handskeleton = handtrack.loadSkeleton(instance.config);\n  if (instance.config.object.enabled && !instance.models.centernet && instance.config.object?.modelPath?.includes('centernet')) instance.models.centernet = centernet.load(instance.config);\n  if (instance.config.object.enabled && !instance.models.nanodet && instance.config.object?.modelPath?.includes('nanodet')) instance.models.nanodet = nanodet.load(instance.config);\n  if (instance.config.segmentation.enabled && !instance.models.segmentation) instance.models.segmentation = segmentation.load(instance.config);\n\n  // models are loaded in parallel asynchronously so lets wait until they are actually loaded\n  for await (const model of Object.keys(instance.models)) {\n    if (instance.models[model] && typeof instance.models[model] !== 'undefined') instance.models[model] = await instance.models[model];\n  }\n}\n\nexport async function validate(instance: Human): Promise {\n  interface Op { name: string, category: string, op: string }\n  const simpleOps = ['const', 'placeholder', 'noop', 'pad', 'squeeze', 'add', 'sub', 'mul', 'div'];\n  for (const defined of Object.keys(instance.models)) {\n    if (instance.models[defined]) { // check if model is loaded\n      let models: GraphModel[] = [];\n      if (Array.isArray(instance.models[defined])) {\n        models = instance.models[defined]\n          .filter((model) => (model !== null))\n          .map((model) => ((model && model.executor) ? model : model.model));\n      } else {\n        models = [instance.models[defined]];\n      }\n      for (const model of models) {\n        if (!model) {\n          if (instance.config.debug) log('model marked as loaded but not defined:', defined);\n          continue;\n        }\n        const ops: string[] = [];\n        // @ts-ignore // executor is a private method\n        const executor = model?.executor;\n        if (executor && 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) log('model signature not determined:', defined);\n        }\n        const missing: string[] = [];\n        for (const op of ops) {\n          if (!simpleOps.includes(op) // exclude simple 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        // log('model validation ops:', defined, ops);\n        if (missing.length > 0 && instance.config.debug) log('model validation:', defined, missing);\n      }\n    }\n  }\n}\n", "/** TFJS custom backend registration */\n\nimport { log } from '../util/util';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as image from '../image/image';\nimport * as models from '../models';\n// import { env } from '../env';\n\nexport const config = {\n  name: 'humangl',\n  priority: 999,\n  canvas: null,\n  gl: null,\n  extensions:  [],\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,\n    desynchronized: true,\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() as string[];\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 async function register(instance): Promise {\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 || !config.gl.getParameter(config.gl.VERSION))) {\n    log('error: humangl backend invalid context');\n    models.reset(instance);\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 = await image.canvas(100, 100);\n    } catch (err) {\n      log('error: cannot create canvas:', err);\n      return;\n    }\n    try {\n      config.gl = config.canvas?.getContext('webgl2', config.webGLattr) as WebGL2RenderingContext;\n      const glv2 = config.gl.getParameter(config.gl.VERSION).includes('2.0');\n      if (!glv2) {\n        log('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', async (e) => {\n          log('error: humangl:', e.type);\n          // log('gpu memory usage:', instance.tf.engine().backendInstance.numBytesInGPU);\n          log('possible browser memory leak using webgl or conflict with multiple backend registrations');\n          instance.emit('error');\n          throw new Error('browser webgl error');\n          // log('resetting humangl backend');\n          // env.initial = true;\n          // models.reset(instance);\n          // await tf.removeBackend(config.name);\n          // await register(instance); // re-register\n        });\n        config.canvas.addEventListener('webglcontextrestored', (e) => {\n          log('error: humangl context restored:', e);\n        });\n        config.canvas.addEventListener('webglcontextcreationerror', (e) => {\n          log('error: humangl context create:', e);\n        });\n      }\n    } catch (err) {\n      log('error: cannot get WebGL context:', err);\n      return;\n    }\n    try {\n      tf.setWebGLContext(2, config.gl);\n    } catch (err) {\n      log('error: cannot set WebGL context:', err);\n      return;\n    }\n    try {\n      const ctx = new tf.GPGPUContext(config.gl);\n      tf.registerBackend(config.name, () => new tf.MathBackendWebGL(ctx), config.priority);\n    } catch (err) {\n      log('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('error: cannot update WebGL backend registration:', err);\n      return;\n    }\n    const current = tf.backend().getGPGPUContext ? tf.backend().getGPGPUContext().gl : null;\n    if (current) {\n      log(`humangl webgl version:${current.getParameter(current.VERSION)} renderer:${current.getParameter(current.RENDERER)}`);\n    } else {\n      log('error: no current gl context:', current, config.gl);\n      return;\n    }\n    try {\n      tf.ENV.set('WEBGL_VERSION', 2);\n    } catch (err) {\n      log('error: cannot set WebGL backend flags:', err);\n      return;\n    }\n    extensions();\n    log('backend registered:', config.name);\n  }\n}\n", "/** TFJS backend initialization and customization */\n\nimport { log, now } from '../util/util';\nimport { env } from '../util/env';\nimport * as humangl from './humangl';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nfunction registerCustomOps() {\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  }\n  if (!env.kernels.includes('floormod')) {\n    const kernelMod = {\n      kernelName: 'FloorMod',\n      backendName: tf.getBackend(),\n      kernelFunc: (op) => tf.tidy(() => tf.floorDiv(op.inputs.a / op.inputs.b) * op.inputs.b + tf.mod(op.inputs.a, op.inputs.b)),\n    };\n    tf.registerKernel(kernelMod);\n    env.kernels.push('floormod');\n  }\n}\n\nexport async function check(instance, force = false) {\n  instance.state = 'backend';\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      // force browser vs node backend\n      if (env.browser && instance.config.backend === 'tensorflow') {\n        if (instance.config.debug) log('override: backend set to tensorflow while running in browser');\n        instance.config.backend = 'humangl';\n      }\n      if (env.node && (instance.config.backend === 'webgl' || instance.config.backend === 'humangl')) {\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 = 'humangl';\n        } else {\n          const adapter = await navigator['gpu'].requestAdapter();\n          if (instance.config.debug) log('enumerated webgpu adapter:', adapter);\n        }\n      }\n\n      // check available backends\n      if (instance.config.backend === 'humangl') await humangl.register(instance);\n      const available = Object.keys(tf.engine().registryFactory);\n      if (instance.config.debug) log('available backends:', available);\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        if (instance.config.debug) log('wasm path:', instance.config.wasmPath);\n        if (typeof tf?.setWasmPaths !== 'undefined') await tf.setWasmPaths(instance.config.wasmPath);\n        else throw new Error('wasm backend is not loaded');\n        const simd = await tf.env().getAsync('WASM_HAS_SIMD_SUPPORT');\n        const mt = await tf.env().getAsync('WASM_HAS_MULTITHREAD_SUPPORT');\n        if (instance.config.debug) log(`wasm execution: ${simd ? 'SIMD' : 'no SIMD'} ${mt ? 'multithreaded' : 'singlethreaded'}`);\n        if (instance.config.debug && !simd) log('warning: wasm simd support is not enabled');\n      }\n\n      try {\n        await tf.setBackend(instance.config.backend);\n        await tf.ready();\n      } catch (err) {\n        log('error: cannot set backend:', instance.config.backend, err);\n        return false;\n      }\n    }\n\n    // customize humangl\n    if (tf.getBackend() === 'humangl') {\n      tf.ENV.set('CHECK_COMPUTATION_FOR_ERRORS', false);\n      tf.ENV.set('WEBGL_CPU_FORWARD', true);\n      // tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', false);\n      tf.ENV.set('WEBGL_USE_SHAPES_UNIFORMS', true);\n      tf.ENV.set('CPU_HANDOFF_SIZE_THRESHOLD', 256);\n      // if (!instance.config.object.enabled) tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true); // safe to use 16bit precision\n      if (typeof instance.config['deallocate'] !== 'undefined' && instance.config['deallocate']) { // hidden param\n        log('changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:', true);\n        tf.ENV.set('WEBGL_DELETE_TEXTURE_THRESHOLD', 0);\n      }\n      if (tf.backend().getGPGPUContext) {\n        const gl = await tf.backend().getGPGPUContext().gl;\n        if (instance.config.debug) log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`);\n      }\n    }\n\n    // customize webgpu\n    if (tf.getBackend() === 'webgpu') {\n      // tf.ENV.set('WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD', 512);\n      // tf.ENV.set('WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE', 0);\n      // tf.ENV.set('WEBGPU_CPU_FORWARD', true);\n    }\n\n    // wait for ready\n    tf.enableProdMode();\n    await tf.ready();\n\n    instance.performance.initBackend = Math.trunc(now() - timeStamp);\n    instance.config.backend = tf.getBackend();\n\n    await env.updateBackend(); // update env on backend init\n    registerCustomOps();\n    // await env.updateBackend(); // update env on backend init\n  }\n  return true;\n}\n\n// register fake missing tfjs ops\nexport function fakeOps(kernelNames: Array, 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: () => { if (config.debug) log('kernelFunc', kernelName, config.backend); },\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 { TRI468 as triangulation } from '../face/facemeshcoords';\nimport { mergeDeep, now } from './util';\nimport { env } from './env';\nimport type { Result, FaceResult, BodyResult, HandResult, ObjectResult, GestureResult, PersonResult, Point } from '../result';\nimport type { AnyCanvas } from '../exports';\n\n/** Draw Options\n * - Accessed via `human.draw.options` or provided per each draw method as the drawOptions optional parameter\n */\nexport type DrawOptions = {\n  /** draw line color */\n  color: string,\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 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}\n\nexport const options: DrawOptions = {\n  color: 'rgba(173, 216, 230, 0.6)', // 'lightblue' with light alpha channel\n  labelColor: 'rgba(173, 216, 230, 1)', // 'lightblue' with dark alpha channel\n  shadowColor: 'black',\n  font: 'small-caps 16px \"Segoe UI\"',\n  lineHeight: 18,\n  lineWidth: 4,\n  pointSize: 2,\n  roundRect: 8,\n  drawPoints: false,\n  drawLabels: true,\n  drawBoxes: true,\n  drawGestures: true,\n  drawPolygons: true,\n  drawGaze: true,\n  fillPolygons: false,\n  useDepth: true,\n  useCurves: false,\n};\n\nlet drawTime = 0;\n\nconst getCanvasContext = (input) => {\n  if (input && input.getContext) return input.getContext('2d');\n  throw new Error('invalid canvas');\n};\n\nconst rad2deg = (theta) => Math.round((theta * 180) / Math.PI);\n\nfunction point(ctx: CanvasRenderingContext2D, x, y, z, localOptions) {\n  z = z || 0;\n  ctx.fillStyle = localOptions.useDepth && z ? `rgba(${127.5 + (2 * z)}, ${127.5 - (2 * z)}, 255, 0.3)` : localOptions.color;\n  ctx.beginPath();\n  ctx.arc(x, y, localOptions.pointSize, 0, 2 * Math.PI);\n  ctx.fill();\n}\n\nfunction rect(ctx: CanvasRenderingContext2D, x, y, width, height, localOptions) {\n  ctx.beginPath();\n  if (localOptions.useCurves) {\n    const cx = (x + x + width) / 2;\n    const cy = (y + y + height) / 2;\n    ctx.ellipse(cx, cy, width / 2, height / 2, 0, 0, 2 * Math.PI);\n  } else {\n    ctx.lineWidth = localOptions.lineWidth;\n    ctx.moveTo(x + localOptions.roundRect, y);\n    ctx.lineTo(x + width - localOptions.roundRect, y);\n    ctx.quadraticCurveTo(x + width, y, x + width, y + localOptions.roundRect);\n    ctx.lineTo(x + width, y + height - localOptions.roundRect);\n    ctx.quadraticCurveTo(x + width, y + height, x + width - localOptions.roundRect, y + height);\n    ctx.lineTo(x + localOptions.roundRect, y + height);\n    ctx.quadraticCurveTo(x, y + height, x, y + height - localOptions.roundRect);\n    ctx.lineTo(x, y + localOptions.roundRect);\n    ctx.quadraticCurveTo(x, y, x + localOptions.roundRect, y);\n    ctx.closePath();\n  }\n  ctx.stroke();\n}\n\nfunction lines(ctx: CanvasRenderingContext2D, points: Point[], localOptions) {\n  if (points.length < 2) return;\n  ctx.beginPath();\n  ctx.moveTo(points[0][0], points[0][1]);\n  for (const pt of points) {\n    const z = pt[2] || 0;\n    ctx.strokeStyle = localOptions.useDepth && z !== 0 ? `rgba(${127.5 + (2 * z)}, ${127.5 - (2 * z)}, 255, 0.3)` : localOptions.color;\n    ctx.fillStyle = localOptions.useDepth && z !== 0 ? `rgba(${127.5 + (2 * z)}, ${127.5 - (2 * z)}, 255, 0.3)` : localOptions.color;\n    ctx.lineTo(pt[0], Math.round(pt[1]));\n  }\n  ctx.stroke();\n  if (localOptions.fillPolygons) {\n    ctx.closePath();\n    ctx.fill();\n  }\n}\n\nfunction curves(ctx: CanvasRenderingContext2D, points: Point[], localOptions) {\n  if (points.length < 2) return;\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\nfunction arrow(ctx: CanvasRenderingContext2D, 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\n/** draw detected gestures */\nexport async function gesture(inCanvas: AnyCanvas, result: Array, drawOptions?: Partial) {\n  const localOptions = mergeDeep(options, drawOptions);\n  if (!result || !inCanvas) return;\n  if (localOptions.drawGestures) {\n    const ctx = getCanvasContext(inCanvas);\n    ctx.font = localOptions.font;\n    ctx.fillStyle = localOptions.color;\n    let i = 1;\n    for (let j = 0; j < result.length; j++) {\n      let where: unknown[] = []; // what&where is a record\n      let what: unknown[] = []; // what&where is a record\n      [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        const label = `${where[0]} ${who}: ${what[1]}`;\n        if (localOptions.shadowColor && localOptions.shadowColor !== '') {\n          ctx.fillStyle = localOptions.shadowColor;\n          ctx.fillText(label, 8, 2 + (i * localOptions.lineHeight));\n        }\n        ctx.fillStyle = localOptions.labelColor;\n        ctx.fillText(label, 6, 0 + (i * localOptions.lineHeight));\n        i += 1;\n      }\n    }\n  }\n}\n\n/** draw detected faces */\nexport async function face(inCanvas: AnyCanvas, result: Array, drawOptions?: Partial) {\n  const localOptions = mergeDeep(options, drawOptions);\n  if (!result || !inCanvas) return;\n  const ctx = getCanvasContext(inCanvas);\n  for (const f of result) {\n    ctx.font = localOptions.font;\n    ctx.strokeStyle = localOptions.color;\n    ctx.fillStyle = localOptions.color;\n    if (localOptions.drawBoxes) rect(ctx, f.box[0], f.box[1], f.box[2], f.box[3], localOptions);\n    if (localOptions.drawLabels) {\n      // silly hack since fillText does not suport new line\n      const labels:string[] = [];\n      labels.push(`face: ${Math.trunc(100 * f.score)}%`);\n      if (f.genderScore) labels.push(`${f.gender || ''} ${Math.trunc(100 * f.genderScore)}%`);\n      if (f.age) labels.push(`age: ${f.age || ''}`);\n      if (f.iris) labels.push(`distance: ${f.iris}`);\n      if (f.real) labels.push(`real: ${Math.trunc(100 * f.real)}%`);\n      if (f.live) labels.push(`live: ${Math.trunc(100 * f.live)}%`);\n      if (f.emotion && f.emotion.length > 0) {\n        const emotion = f.emotion.map((a) => `${Math.trunc(100 * a.score)}% ${a.emotion}`);\n        if (emotion.length > 3) emotion.length = 3;\n        labels.push(emotion.join(' '));\n      }\n      if (f.rotation && f.rotation.angle && f.rotation.gaze) {\n        if (f.rotation.angle.roll) labels.push(`roll: ${rad2deg(f.rotation.angle.roll)}\u00B0 yaw:${rad2deg(f.rotation.angle.yaw)}\u00B0 pitch:${rad2deg(f.rotation.angle.pitch)}\u00B0`);\n        if (f.rotation.gaze.bearing) labels.push(`gaze: ${rad2deg(f.rotation.gaze.bearing)}\u00B0`);\n      }\n      if (labels.length === 0) labels.push('face');\n      ctx.fillStyle = localOptions.color;\n      for (let i = labels.length - 1; i >= 0; i--) {\n        const x = Math.max(f.box[0], 0);\n        const y = i * localOptions.lineHeight + f.box[1];\n        if (localOptions.shadowColor && localOptions.shadowColor !== '') {\n          ctx.fillStyle = localOptions.shadowColor;\n          ctx.fillText(labels[i], x + 5, y + 16);\n        }\n        ctx.fillStyle = localOptions.labelColor;\n        ctx.fillText(labels[i], x + 4, y + 15);\n      }\n    }\n    ctx.lineWidth = 1;\n    if (f.mesh && f.mesh.length > 0) {\n      if (localOptions.drawPoints) {\n        for (const pt of f.mesh) point(ctx, pt[0], pt[1], pt[2], localOptions);\n      }\n      if (localOptions.drawPolygons) {\n        ctx.lineWidth = 1;\n        if (f.mesh.length > 450) {\n          for (let i = 0; i < triangulation.length / 3; i++) {\n            const points = [\n              triangulation[i * 3 + 0],\n              triangulation[i * 3 + 1],\n              triangulation[i * 3 + 2],\n            ].map((index) => f.mesh[index]);\n            lines(ctx, points, localOptions);\n          }\n        }\n        // iris: array[center, left, top, right, bottom]\n        if (f.annotations && 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 && 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        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        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    }\n  }\n}\n\n/** draw detected bodies */\nexport async function body(inCanvas: AnyCanvas, result: Array, drawOptions?: Partial) {\n  const localOptions = mergeDeep(options, drawOptions);\n  if (!result || !inCanvas) return;\n  const ctx = getCanvasContext(inCanvas);\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) {\n        if (localOptions.shadowColor && localOptions.shadowColor !== '') {\n          ctx.fillStyle = localOptions.shadowColor;\n          ctx.fillText(`body ${100 * result[i].score}%`, 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(`body ${100 * result[i].score}%`, result[i].box[0] + 2, 0 + result[i].box[1] + localOptions.lineHeight, result[i].box[2]);\n      }\n    }\n    if (localOptions.drawPoints && result[i].keypoints) {\n      for (let pt = 0; pt < result[i].keypoints.length; pt++) {\n        ctx.fillStyle = localOptions.useDepth && result[i].keypoints[pt].position[2] ? `rgba(${127.5 + (2 * (result[i].keypoints[pt].position[2] || 0))}, ${127.5 - (2 * (result[i].keypoints[pt].position[2] || 0))}, 255, 0.5)` : localOptions.color;\n        point(ctx, result[i].keypoints[pt].position[0], result[i].keypoints[pt].position[1], 0, localOptions);\n      }\n    }\n    if (localOptions.drawLabels && result[i].keypoints) {\n      ctx.font = localOptions.font;\n      for (const pt of result[i].keypoints) {\n        ctx.fillStyle = localOptions.useDepth && pt.position[2] ? `rgba(${127.5 + (2 * pt.position[2])}, ${127.5 - (2 * pt.position[2])}, 255, 0.5)` : localOptions.color;\n        ctx.fillText(`${pt.part} ${Math.trunc(100 * pt.score)}%`, pt.position[0] + 4, pt.position[1] + 4);\n      }\n    }\n    if (localOptions.drawPolygons && result[i].keypoints && result[i].annotations) {\n      for (const part of Object.values(result[i].annotations)) {\n        for (const connected of part) curves(ctx, connected, localOptions);\n      }\n    }\n  }\n}\n\n/** draw detected hands */\nexport async function hand(inCanvas: AnyCanvas, result: Array, drawOptions?: Partial) {\n  const localOptions = mergeDeep(options, drawOptions);\n  if (!result || !inCanvas) return;\n  const ctx = getCanvasContext(inCanvas);\n  ctx.lineJoin = 'round';\n  ctx.font = localOptions.font;\n  for (const h of result) {\n    if (localOptions.drawBoxes) {\n      ctx.strokeStyle = localOptions.color;\n      ctx.fillStyle = localOptions.color;\n      rect(ctx, h.box[0], h.box[1], h.box[2], h.box[3], localOptions);\n      if (localOptions.drawLabels) {\n        if (localOptions.shadowColor && localOptions.shadowColor !== '') {\n          ctx.fillStyle = localOptions.shadowColor;\n          ctx.fillText(`hand:${Math.trunc(100 * h.score)}%`, h.box[0] + 3, 1 + h.box[1] + localOptions.lineHeight, h.box[2]); // can use h.label\n        }\n        ctx.fillStyle = localOptions.labelColor;\n        ctx.fillText(`hand:${Math.trunc(100 * h.score)}%`, h.box[0] + 2, 0 + h.box[1] + localOptions.lineHeight, h.box[2]); // can use h.label\n      }\n      ctx.stroke();\n    }\n    if (localOptions.drawPoints) {\n      if (h.keypoints && h.keypoints.length > 0) {\n        for (const pt of h.keypoints) {\n          ctx.fillStyle = localOptions.useDepth ? `rgba(${127.5 + (2 * (pt[2] || 0))}, ${127.5 - (2 * (pt[2] || 0))}, 255, 0.5)` : localOptions.color;\n          point(ctx, pt[0], pt[1], 0, localOptions);\n        }\n      }\n    }\n    if (localOptions.drawLabels && h.annotations) {\n      const addHandLabel = (part, title) => {\n        if (!part || part.length === 0 || !part[0]) return;\n        ctx.fillStyle = localOptions.useDepth ? `rgba(${127.5 + (2 * part[part.length - 1][2])}, ${127.5 - (2 * part[part.length - 1][2])}, 255, 0.5)` : localOptions.color;\n        ctx.fillText(title, part[part.length - 1][0] + 4, part[part.length - 1][1] + 4);\n      };\n      ctx.font = localOptions.font;\n      addHandLabel(h.annotations['index'], 'index');\n      addHandLabel(h.annotations['middle'], 'middle');\n      addHandLabel(h.annotations['ring'], 'ring');\n      addHandLabel(h.annotations['pinky'], 'pinky');\n      addHandLabel(h.annotations['thumb'], 'thumb');\n      addHandLabel(h.annotations['palm'], 'palm');\n    }\n    if (localOptions.drawPolygons && h.annotations) {\n      const addHandLine = (part) => {\n        if (!part || part.length === 0 || !part[0]) return;\n        for (let i = 0; i < part.length; i++) {\n          ctx.beginPath();\n          ctx.strokeStyle = localOptions.useDepth ? `rgba(${127.5 + (i * part[i][2])}, ${127.5 - (i * part[i][2])}, 255, 0.5)` : localOptions.color;\n          ctx.moveTo(part[i > 0 ? i - 1 : 0][0], part[i > 0 ? i - 1 : 0][1]);\n          ctx.lineTo(part[i][0], part[i][1]);\n          ctx.stroke();\n        }\n      };\n      ctx.lineWidth = localOptions.lineWidth;\n      addHandLine(h.annotations['index']);\n      addHandLine(h.annotations['middle']);\n      addHandLine(h.annotations['ring']);\n      addHandLine(h.annotations['pinky']);\n      addHandLine(h.annotations['thumb']);\n      // addPart(h.annotations.palm);\n    }\n  }\n}\n\n/** draw detected objects */\nexport async function object(inCanvas: AnyCanvas, result: Array, drawOptions?: Partial) {\n  const localOptions = mergeDeep(options, drawOptions);\n  if (!result || !inCanvas) return;\n  const ctx = getCanvasContext(inCanvas);\n  ctx.lineJoin = 'round';\n  ctx.font = localOptions.font;\n  for (const h of result) {\n    if (localOptions.drawBoxes) {\n      ctx.strokeStyle = localOptions.color;\n      ctx.fillStyle = localOptions.color;\n      rect(ctx, h.box[0], h.box[1], h.box[2], h.box[3], localOptions);\n      if (localOptions.drawLabels) {\n        const label = `${h.label} ${Math.round(100 * h.score)}%`;\n        if (localOptions.shadowColor && localOptions.shadowColor !== '') {\n          ctx.fillStyle = localOptions.shadowColor;\n          ctx.fillText(label, h.box[0] + 3, 1 + h.box[1] + localOptions.lineHeight, h.box[2]);\n        }\n        ctx.fillStyle = localOptions.labelColor;\n        ctx.fillText(label, h.box[0] + 2, 0 + h.box[1] + localOptions.lineHeight, h.box[2]);\n      }\n      ctx.stroke();\n    }\n  }\n}\n\n/** draw combined person results instead of individual detection result objects */\nexport async function person(inCanvas: AnyCanvas, result: Array, drawOptions?: Partial) {\n  const localOptions = mergeDeep(options, drawOptions);\n  if (!result || !inCanvas) return;\n  const ctx = getCanvasContext(inCanvas);\n  ctx.lineJoin = 'round';\n  ctx.font = localOptions.font;\n\n  for (let i = 0; i < result.length; i++) {\n    if (localOptions.drawBoxes) {\n      ctx.strokeStyle = localOptions.color;\n      ctx.fillStyle = localOptions.color;\n      rect(ctx, result[i].box[0], result[i].box[1], result[i].box[2], result[i].box[3], localOptions);\n      if (localOptions.drawLabels) {\n        const label = `person #${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 async function canvas(input: AnyCanvas | HTMLImageElement | HTMLMediaElement | HTMLVideoElement, output: HTMLCanvasElement) {\n  if (!input || !output) return;\n  const ctx = getCanvasContext(output);\n  ctx.drawImage(input, 0, 0);\n}\n\n/** meta-function that performs draw for: canvas, face, body, hand\n * @returns {Promise}\n*/\nexport async function all(inCanvas: AnyCanvas, result: Result, drawOptions?: Partial) {\n  if (!result || !result.performance || !result || !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", "// eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars\nconst rad2deg = (theta) => Math.round((theta * 180) / Math.PI);\n\nconst calculateGaze = (face): { bearing: number, strength: number } => {\n  const radians = (pt1, pt2) => 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] > face.mesh[263][2]; // 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\n  const eyeDiff = [ // 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] ** 2) + (eyeDiff[1] ** 2)); // 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\n  return { bearing, strength };\n};\n\nexport const calculateFaceAngle = (face, imageSize): {\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) => { // 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, b) => { // 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, b) => { // 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) => {\n    // eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars\n    const [r00, r01, r02, r10, r11, r12, r20, r21, r22] = r;\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 (isNaN(thetaX)) thetaX = 0;\n    if (isNaN(thetaY)) thetaY = 0;\n    if (isNaN(thetaZ)) thetaZ = 0;\n    return { pitch: 2 * -thetaX, yaw: 2 * -thetaY, roll: 2 * -thetaZ };\n  };\n  // simple Euler angle calculation based existing 3D mesh\n  // eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars\n  const meshToEulerAngle = (mesh) => {\n    const radians = (a1, a2, b1, b2) => Math.atan2(b2 - a2, b1 - a1);\n    // eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars\n    const angle = {\n      // 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 is face move up/down\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\n      // yaw is face turn left/right\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\n      // roll is face lean 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\n    };\n    return angle;\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 = [mesh[10], mesh[152], mesh[234], mesh[454]].map((pt) => [\n    // make the xyz coordinates proportional, independent of the image/box size\n    pt[0] * imageSize[0] / size,\n    pt[1] * imageSize[1] / size,\n    pt[2],\n  ]);\n\n  const y_axis = normalize(subVectors(pts[1], pts[0]));\n  let x_axis = normalize(subVectors(pts[3], pts[2]));\n  const z_axis = normalize(crossVectors(x_axis, y_axis));\n  // adjust x_axis to make sure that all axes are perpendicular to each other\n  x_axis = crossVectors(y_axis, z_axis);\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    x_axis[0], x_axis[1], x_axis[2],\n    y_axis[0], y_axis[1], y_axis[2],\n    z_axis[0], z_axis[1], z_axis[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", "/**\n * Face algorithm implementation\n * Uses FaceMesh, Emotion and FaceRes models to create a unified pipeline\n */\n\nimport { log, now } from '../util/util';\nimport { env } from '../util/env';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as facemesh from './facemesh';\nimport * as emotion from '../gear/emotion';\nimport * as faceres from './faceres';\nimport * as antispoof from './antispoof';\nimport * as liveness from './liveness';\nimport type { FaceResult } from '../result';\nimport type { Tensor } from '../tfjs/types';\nimport { calculateFaceAngle } from './angles';\n\nexport const detectFace = async (parent /* instance of human */, input: Tensor): Promise => {\n  // run facemesh, includes blazeface and iris\n  // eslint-disable-next-line no-async-promise-executor\n  let timeStamp;\n  let ageRes;\n  let gearRes;\n  let genderRes;\n  let emotionRes;\n  let embeddingRes;\n  let antispoofRes;\n  let livenessRes;\n  let descRes;\n  const faceRes: Array = [];\n  parent.state = 'run:face';\n  timeStamp = now();\n\n  const faces = await facemesh.predict(input, parent.config);\n  parent.performance.face = env.perfadd ? (parent.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    parent.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    const rotation = calculateFaceAngle(faces[i], [input.shape[2], input.shape[1]]);\n\n    // run emotion, inherits face from blazeface\n    parent.analyze('Start Emotion:');\n    if (parent.config.async) {\n      emotionRes = parent.config.face.emotion.enabled ? emotion.predict(faces[i].tensor || tf.tensor([]), parent.config, i, faces.length) : null;\n    } else {\n      parent.state = 'run:emotion';\n      timeStamp = now();\n      emotionRes = parent.config.face.emotion.enabled ? await emotion.predict(faces[i].tensor || tf.tensor([]), parent.config, i, faces.length) : null;\n      parent.performance.emotion = env.perfadd ? (parent.performance.emotion || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n    }\n    parent.analyze('End Emotion:');\n\n    // run antispoof, inherits face from blazeface\n    parent.analyze('Start AntiSpoof:');\n    if (parent.config.async) {\n      antispoofRes = parent.config.face.antispoof.enabled ? antispoof.predict(faces[i].tensor || tf.tensor([]), parent.config, i, faces.length) : null;\n    } else {\n      parent.state = 'run:antispoof';\n      timeStamp = now();\n      antispoofRes = parent.config.face.antispoof.enabled ? await antispoof.predict(faces[i].tensor || tf.tensor([]), parent.config, i, faces.length) : null;\n      parent.performance.antispoof = env.perfadd ? (parent.performance.antispoof || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n    }\n    parent.analyze('End AntiSpoof:');\n\n    // run liveness, inherits face from blazeface\n    parent.analyze('Start Liveness:');\n    if (parent.config.async) {\n      livenessRes = parent.config.face.liveness.enabled ? liveness.predict(faces[i].tensor || tf.tensor([]), parent.config, i, faces.length) : null;\n    } else {\n      parent.state = 'run:liveness';\n      timeStamp = now();\n      livenessRes = parent.config.face.liveness.enabled ? await liveness.predict(faces[i].tensor || tf.tensor([]), parent.config, i, faces.length) : null;\n      parent.performance.antispoof = env.perfadd ? (parent.performance.antispoof || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n    }\n    parent.analyze('End Liveness:');\n\n    // run gear, inherits face from blazeface\n    /*\n    parent.analyze('Start GEAR:');\n    if (parent.config.async) {\n      gearRes = parent.config.face.agegenderrace.enabled ? agegenderrace.predict(faces[i].tensor || tf.tensor([]), parent.config, i, faces.length) : {};\n    } else {\n      parent.state = 'run:gear';\n      timeStamp = now();\n      gearRes = parent.config.face.agegenderrace.enabled ? await agegenderrace.predict(faces[i].tensor || tf.tensor([]), parent.config, i, faces.length) : {};\n      parent.performance.emotion = Math.trunc(now() - timeStamp);\n    }\n    parent.analyze('End GEAR:');\n    */\n\n    // run emotion, inherits face from blazeface\n    parent.analyze('Start Description:');\n    if (parent.config.async) {\n      descRes = parent.config.face.description.enabled ? faceres.predict(faces[i].tensor || tf.tensor([]), parent.config, i, faces.length) : null;\n    } else {\n      parent.state = 'run:description';\n      timeStamp = now();\n      descRes = parent.config.face.description.enabled ? await faceres.predict(faces[i].tensor || tf.tensor([]), parent.config, i, faces.length) : null;\n      parent.performance.description = env.perfadd ? (parent.performance.description || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n    }\n    parent.analyze('End Description:');\n\n    // if async wait for results\n    if (parent.config.async) {\n      [ageRes, genderRes, emotionRes, embeddingRes, descRes, gearRes, antispoofRes, livenessRes] = await Promise.all([ageRes, genderRes, emotionRes, embeddingRes, descRes, gearRes, antispoofRes, livenessRes]);\n    }\n\n    parent.analyze('Finish Face:');\n\n    // calculate iris distance\n    // iris: array[ center, left, top, right, bottom]\n    if (!parent.config.face.iris.enabled && faces[i]?.annotations?.leftEyeIris && faces[i]?.annotations?.rightEyeIris) {\n      delete faces[i].annotations.leftEyeIris;\n      delete faces[i].annotations.rightEyeIris;\n    }\n    const irisSize = (faces[i].annotations && faces[i].annotations.leftEyeIris && faces[i].annotations.leftEyeIris[0] && faces[i].annotations.rightEyeIris && faces[i].annotations.rightEyeIris[0]\n      && (faces[i].annotations.leftEyeIris.length > 0) && (faces[i].annotations.rightEyeIris.length > 0)\n      && (faces[i].annotations.leftEyeIris[0] !== null) && (faces[i].annotations.rightEyeIris[0] !== null))\n      ? Math.max(Math.abs(faces[i].annotations.leftEyeIris[3][0] - faces[i].annotations.leftEyeIris[1][0]), Math.abs(faces[i].annotations.rightEyeIris[4][1] - faces[i].annotations.rightEyeIris[2][1])) / input.shape[2]\n      : 0; // note: average human iris size is 11.7mm\n\n    // optionally return tensor\n    const tensor = parent.config.face.detector.return ? tf.squeeze(faces[i].tensor) : 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    faceRes.push({\n      ...faces[i],\n      id: i,\n      age: descRes?.age,\n      gender: descRes?.gender,\n      genderScore: descRes?.genderScore,\n      embedding: descRes?.descriptor,\n      emotion: emotionRes,\n      real: antispoofRes,\n      live: livenessRes,\n      iris: irisSize !== 0 ? Math.trunc(500 / irisSize / 11.7) / 100 : 0,\n      rotation,\n      tensor,\n    });\n    parent.analyze('End Face');\n  }\n  parent.analyze('End FaceMesh:');\n  if (parent.config.async) {\n    if (parent.performance.face) delete parent.performance.face;\n    if (parent.performance.age) delete parent.performance.age;\n    if (parent.performance.gender) delete parent.performance.gender;\n    if (parent.performance.emotion) delete parent.performance.emotion;\n  }\n  return faceRes;\n};\n", "/**\n * Gesture detection algorithm\n */\n\nimport type { GestureResult } from '../result';\nimport * as fingerPose from '../hand/fingerpose';\n\n/**\n * @typedef FaceGesture\n */\nexport type FaceGesture =\n  `facing ${'left' | 'center' | 'right'}`\n  | `blink ${'left' | 'right'} eye`\n  | `mouth ${number}% open`\n  | `head ${'up' | 'down'}`;\n\n/**\n * @typedef IrisGesture\n */\nexport type IrisGesture =\n  'facing center'\n  | `looking ${'left' | 'right' | 'up' | 'down'}`\n  | 'looking center';\n\n/**\n * @typedef BodyGesture\n */\nexport type BodyGesture =\n  `leaning ${'left' | 'right'}`\n  | `raise ${'left' | 'right'} hand`\n  | 'i give up';\n\n/**\n * @typedef BodyGesture\n */\nexport type HandGesture =\n  `${'thumb' | 'index' | 'middle' | 'ring' | 'pinky'} forward`\n  | `${'thumb' | 'index' | 'middle' | 'ring' | 'pinky'} up`\n  | 'victory'\n  | 'thumbs up';\n\nexport const body = (res): GestureResult[] => {\n  if (!res) return [];\n  const gestures: Array<{ 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): GestureResult[] => {\n  if (!res) return [];\n  const gestures: Array<{ 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 eyeFacing = res[i].mesh[33][2] - res[i].mesh[263][2];\n      if (Math.abs(eyeFacing) < 10) gestures.push({ face: i, gesture: 'facing center' });\n      else gestures.push({ face: i, gesture: `facing ${eyeFacing < 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];\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): GestureResult[] => {\n  if (!res) return [];\n  const gestures: Array<{ iris: number, gesture: IrisGesture }> = [];\n  for (let i = 0; i < res.length; i++) {\n    if (!res[i].annotations || !res[i].annotations.leftEyeIris || !res[i].annotations.leftEyeIris[0] || !res[i].annotations.rightEyeIris || !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): GestureResult[] => {\n  if (!res) return [];\n  const gestures: Array<{ hand: number, gesture: HandGesture }> = [];\n  for (let i = 0; i < res.length; i++) {\n    const fingers: Array<{ name: string, position: number }> = [];\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] < a.position[2] ? 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", "/**\n * Results interpolation for smoothening of video detection results inbetween detected frames\n */\n\nimport type { Result, FaceResult, BodyResult, HandResult, ObjectResult, GestureResult, PersonResult, Box, Point } 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 = { face: [], body: [], hand: [], gesture: [], object: [], persons: [], performance: {}, timestamp: 0 };\nlet interpolateTime = 0;\n\nexport function calc(newResult: Result, config: Config): Result {\n  const t0 = now();\n  if (!newResult) return { face: [], body: [], hand: [], gesture: [], object: [], persons: [], performance: {}, timestamp: 0 };\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  // 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  const bufferedFactor = elapsed < 1000 ? 8 - Math.log(elapsed + 1) : 1;\n\n  bufferedResult.canvas = newResult.canvas;\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((b, j) => ((bufferedFactor - 1) * bufferedResult.body[i].box[j] + b) / bufferedFactor) as Box;\n      const boxRaw = newResult.body[i].boxRaw // update boxRaw\n        .map((b, j) => ((bufferedFactor - 1) * bufferedResult.body[i].boxRaw[j] + b) / bufferedFactor) as Box;\n      const keypoints = (newResult.body[i].keypoints // update keypoints\n        .map((keypoint, j) => ({\n          score: keypoint.score,\n          part: keypoint.part,\n          position: [\n            bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * bufferedResult.body[i].keypoints[j].position[0] + keypoint.position[0]) / bufferedFactor : keypoint.position[0],\n            bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * bufferedResult.body[i].keypoints[j].position[1] + keypoint.position[1]) / bufferedFactor : keypoint.position[1],\n          ],\n          positionRaw: [\n            bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * bufferedResult.body[i].keypoints[j].positionRaw[0] + keypoint.positionRaw[0]) / bufferedFactor : keypoint.position[0],\n            bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * bufferedResult.body[i].keypoints[j].positionRaw[1] + keypoint.positionRaw[1]) / bufferedFactor : keypoint.position[1],\n          ],\n        }))) as Array<{ score: number, part: string, position: [number, number, number?], positionRaw: [number, number, number?] }>;\n      const annotations: Record = {};\n\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: Array = [];\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        }\n        annotations[name] = pt;\n      }\n      bufferedResult.body[i] = { ...newResult.body[i], box, boxRaw, keypoints, annotations: annotations as BodyResult['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 as HandResult[])); // 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] && newResult.hand[i].annotations[key][0]\n            ? newResult.hand[i].annotations[key]\n              .map((val, j) => val\n                .map((coord, k) => ((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      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 }; // shallow clone plus updated values\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  // just copy latest gestures without interpolation\n  if (newResult.gesture) bufferedResult.gesture = newResult.gesture as GestureResult[];\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", "/** Face descriptor type as number array */\nexport type Descriptor = Array\nexport type MatchOptions = { order?: number, threshold?: number, multiplier?: number, min?: number, max?: number } | undefined;\n\n/** Calculates distance between two descriptors\n * @param {object} options\n * @param {number} options.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 * @param {number} options.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 * @returns {number}\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  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 {object} options\n * @param {number} options.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 * @param {number} options.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 * @param {number} options.min normalize similarity result to a given range\n * @param {number} options.max normalzie similarity resutl to a given range\n * - default is 0.2...0.8\n * @returns {number} 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 {object} options\n * @param {number} options.order see {@link similarity}\n * @param {number} options.multiplier see {@link similarity}\n * @returns {object}\n * - `index` index array index where best match was found or -1 if no matches\n * - {@link distance} calculated `distance` of given descriptor to the best match\n * - {@link similarity} calculated normalized `similarity` of given descriptor to the best match\n*/\nexport function match(descriptor: Descriptor, descriptors: Array, 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 || descriptor.length !== descriptors[0].length) { // 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 = distance(descriptor, descriptors[i], options);\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 * 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: Array, bodies: Array, hands: Array, gestures: Array, shape: Array | undefined): Array {\n  let id = 0;\n  const persons: Array = [];\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 beloning 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 && 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 excercise loaded models for faster future inference\n */\n\nimport { log, now, mergeDeep } from './util/util';\nimport * as sample from './sample';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as image from './image/image';\nimport type { Config } from './config';\nimport type { Result } from './result';\nimport { env } from './util/env';\n\nasync function warmupBitmap(instance) {\n  const b64toBlob = (base64: string, type = 'application/octet-stream') => fetch(`data:${type};base64,${base64}`).then((res) => res.blob());\n  let blob;\n  let res;\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) {\n  return new Promise((resolve) => {\n    let src;\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 = null;\n    }\n    // src = encodeURI('../assets/human-sample-upper.jpg');\n    let img;\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    img.onload = async () => {\n      const canvas = image.canvas(img.naturalWidth, img.naturalHeight);\n      if (!canvas) {\n        log('Warmup: Canvas not found');\n        resolve({});\n      } else {\n        const ctx = canvas.getContext('2d');\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);\n        const res = await instance.detect(tensor.tensor, instance.config);\n        resolve(res);\n      }\n    };\n    if (src) img.src = src;\n    else resolve(null);\n  });\n}\n\nasync function warmupNode(instance) {\n  const atob = (str: string) => Buffer.from(str, 'base64');\n  let img;\n  if (instance.config.warmup === 'face') img = atob(sample.face);\n  if (instance.config.warmup === 'body' || instance.config.warmup === 'full') img = atob(sample.body);\n  if (!img) return null;\n  let res;\n  if (typeof tf['node'] !== 'undefined') {\n    const data = tf['node'].decodeJpeg(img);\n    const expanded = data.expandDims(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  return res;\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?: Config\n*/\nexport async function warmup(instance, userConfig?: Partial): Promise {\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 === 'none') return { error: 'null' };\n  let res;\n  return new Promise(async (resolve) => {\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    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 { log, now, mergeDeep, validate } from './util/util';\nimport { defaults } from './config';\nimport { env, Env } from './util/env';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as app from '../package.json';\nimport * as backend from './tfjs/backend';\nimport * as blazepose from './body/blazepose';\nimport * as centernet from './object/centernet';\nimport * as draw from './util/draw';\nimport * as efficientpose from './body/efficientpose';\nimport * as face from './face/face';\nimport * as facemesh from './face/facemesh';\nimport * as faceres from './face/faceres';\nimport * as gesture from './gesture/gesture';\nimport * as handpose from './hand/handpose';\nimport * as handtrack from './hand/handtrack';\nimport * as humangl from './tfjs/humangl';\nimport * as image from './image/image';\nimport * as interpolate from './util/interpolate';\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 segmentation from './segmentation/segmentation';\nimport * as warmups from './warmup';\n// type definitions\nimport type { Input, Tensor, DrawOptions, Config, Result, FaceResult, HandResult, BodyResult, ObjectResult, GestureResult, PersonResult } from './exports';\n// type exports\nexport * from './exports';\n\n/** Instance of TensorFlow/JS used by Human\n * - Can be TFJS that is bundled with `Human` or a manually imported TFJS library\n * @external [API](https://js.tensorflow.org/api/latest/)\n */\nexport type TensorFlow = typeof tf;\n\n/** Error message */\nexport type Error = {\n  /** @property error message */\n  error: string,\n};\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: OffscreenCanvas | HTMLCanvasElement | null };\n\n  /** Instance of TensorFlow/JS used by Human\n   *  - Can be embedded or externally provided\n   * @internal\n   *\n   * [TFJS API]\n   */\n  tf: TensorFlow;\n\n  /** Object containing environment information used for diagnostics */\n  env: Env;\n\n  /** Draw helper classes that can draw detected objects on canvas using specified draw\n   * @property options global settings for all draw operations, can be overriden for each draw method {@link DrawOptions}\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\n  /** Currently loaded models\n   * @internal\n   * {@link Models}\n  */\n  models: models.Models;\n\n  /** Container for events dispatched by Human\n   * {@type} EventTarget\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: typeof facemesh.triangulation;\n  /** Refernce UV map of 468 values, used for 3D mapping of the face mesh */\n  faceUVMap: typeof facemesh.uvmap;\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  /** WebGL debug info */\n  gl: Record;\n  // definition end\n\n  /** Constructor for **Human** library that is futher used for all operations\n   *\n   * @param {Config} userConfig\n   * @returns {Human}\n   */\n  constructor(userConfig?: Partial) {\n    this.env = env;\n    defaults.wasmPath = tf.version_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    defaults.modelBasePath = env.browser ? '../models/' : 'file://models/';\n    defaults.backend = env.browser ? 'humangl' : 'tensorflow';\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    if (userConfig) this.config = mergeDeep(this.config, userConfig);\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();\n    // reexport draw methods\n    this.draw = {\n      options: draw.options as DrawOptions,\n      canvas: (input: HTMLCanvasElement | OffscreenCanvas | HTMLImageElement | HTMLMediaElement | HTMLVideoElement, output: HTMLCanvasElement) => draw.canvas(input, output),\n      face: (output: HTMLCanvasElement | OffscreenCanvas, result: FaceResult[], options?: Partial) => draw.face(output, result, options),\n      body: (output: HTMLCanvasElement | OffscreenCanvas, result: BodyResult[], options?: Partial) => draw.body(output, result, options),\n      hand: (output: HTMLCanvasElement | OffscreenCanvas, result: HandResult[], options?: Partial) => draw.hand(output, result, options),\n      gesture: (output: HTMLCanvasElement | OffscreenCanvas, result: GestureResult[], options?: Partial) => draw.gesture(output, result, options),\n      object: (output: HTMLCanvasElement | OffscreenCanvas, result: ObjectResult[], options?: Partial) => draw.object(output, result, options),\n      person: (output: HTMLCanvasElement | OffscreenCanvas, result: PersonResult[], options?: Partial) => draw.person(output, result, options),\n      all: (output: HTMLCanvasElement | OffscreenCanvas, result: Result, options?: Partial) => draw.all(output, result, options),\n    };\n    this.result = { face: [], body: [], hand: [], gesture: [], object: [], performance: {}, timestamp: 0, persons: [] };\n    // export access to image processing\n    // @ts-ignore eslint-typescript cannot correctly infer type in anonymous function\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    // set gl info\n    this.gl = humangl.config;\n    // include platform info\n    this.emit('create');\n  }\n\n  // helper function: measure tensor leak\n  /** @hidden */\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  // quick sanity check on inputs\n  /** @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  }\n\n  /** Validate current configuration schema */\n  validate(userConfig?: Partial) {\n    return validate(defaults, userConfig || this.config);\n  }\n\n  /** Exports face matching methods */\n  public similarity = match.similarity;\n  public distance = match.distance;\n  public match = match.match;\n\n  /** Utility wrapper for performance.now() */\n  now(): number {\n    return now();\n  }\n\n  /** Process input as return canvas and tensor\n   *\n   * @param input: {@link Input}\n   * @param {boolean} input.getTensor should image processing also return tensor or just canvas\n   * @returns { tensor, canvas }\n   */\n  image(input: Input, getTensor: boolean = true) {\n    return image.process(input, this.config, getTensor);\n  }\n\n  /** Segmentation method takes any input and returns processed canvas with body segmentation\n   *  - Segmentation is not triggered as part of detect process\n   *\n   *  Returns:\n   *\n   * @param input: {@link Input}\n   * @param background?: {@link Input}\n   *  - Optional parameter background is used to fill the background with specific input\n   * @returns {object}\n   *  - `data` as raw data array with per-pixel segmentation values\n   *  - `canvas` as canvas which is input image filtered with segementation data and optionally merged with background image. canvas alpha values are set to segmentation values for easy merging\n   *  - `alpha` as grayscale canvas that represents segmentation alpha values\n   */\n  async segmentation(input: Input, background?: Input): Promise<{ data: number[], canvas: HTMLCanvasElement | OffscreenCanvas | null, alpha: HTMLCanvasElement | OffscreenCanvas | null }> {\n    return segmentation.process(input, background, this.config);\n  }\n\n  /** Enhance method performs additional enhacements to face image previously detected for futher processing\n   *\n   * @param input: Tensor as provided in human.result.face[n].tensor\n   * @returns Tensor\n   */\n  // eslint-disable-next-line class-methods-use-this\n  enhance(input: Tensor): Tensor | null {\n    return faceres.enhance(input);\n  }\n\n  /** Compare two input tensors for pixel simmilarity\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   * @returns {number}\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   * @returns {void}\n   */\n  async init(): Promise {\n    await backend.check(this, true);\n    await this.tf.ready();\n  }\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   * @return Promise\n  */\n  async load(userConfig?: Partial): Promise {\n    this.state = 'load';\n    const timeStamp = now();\n    const count = Object.values(this.models).filter((model) => model).length;\n    if (userConfig) this.config = mergeDeep(this.config, userConfig) as Config;\n\n    if (this.env.initial) { // print version info on first run and check for correct backend setup\n      if (this.config.debug) log(`version: ${this.version}`);\n      if (this.config.debug) log(`tfjs version: ${this.tf.version_core}`);\n      if (!await backend.check(this)) 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('environment:', this.env);\n        if (this.config.debug) log('tf flags:', this.tf.ENV['flags']);\n      }\n    }\n\n    await 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).filter((model) => model).length;\n    if (loaded !== count) { // number of loaded models changed\n      await models.validate(this); // 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 as number || 0)) this.performance.loadModels = this.env.perfadd ? (this.performance.loadModels || 0) + current : current;\n  }\n\n  // emit event\n  /** @hidden */\n  emit = (event: string) => {\n    if (this.events && 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) as Result;\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> {\n    const profile = await this.tf.profile(() => this.detect(input, userConfig));\n    const kernels = {};\n    for (const kernel of profile.kernels) { // sum kernel time values per kernel\n      if (kernels[kernel.name]) kernels[kernel.name] += kernel.kernelTimeMs;\n      else kernels[kernel.name] = kernel.kernelTimeMs;\n    }\n    const kernelArr: Array<{ name, ms }> = [];\n    Object.entries(kernels).forEach((key) => kernelArr.push({ name: key[0], ms: key[1] })); // convert to array\n    kernelArr.sort((a, b) => b.ms - a.ms); // sort\n    kernelArr.length = 20; // crop\n    const res: Record = {};\n    for (const kernel of kernelArr) res[kernel.name] = kernel.ms; // create perf objects\n    return res;\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        resolve({ error });\n      }\n\n      const timeStart = now();\n\n      // configure backend if needed\n      await backend.check(this);\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: HTMLCanvasElement | OffscreenCanvas, tensor: Tensor };\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        resolve({ error: '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      if (!this.performance.totalFrames) this.performance.totalFrames = 0;\n      if (!this.performance.cachedFrames) this.performance.cachedFrames = 0;\n      (this.performance.totalFrames as number)++;\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), ...gesture.body(bodyRes), ...gesture.hand(handRes), ...gesture.iris(faceRes)];\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 || [];\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        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\n/** Class Human as default export */\n/* eslint no-restricted-exports: [\"off\", { \"restrictedNamedExports\": [\"default\"] }] */\nexport { Human as default };\n"],
-  "mappings": ";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;AAKO,cAAc,QAAgB,MAAsB;AACzD,QAAM,YAAY,OAAO,SAAS,OAAO,KAAK;AAC9C,QAAM,WAAW,KAAK,WAAW,QAAQ,KAAK,WAAW,QAAQ,KAAK,WAAW,YAAY,KAAK,WAAW,aAAa,KAAK,WAAW;AAC1I,QAAM,OAAO,WAAW,GAAG,SAAS,GAAG,SAAS,YAAY;AAC5D,MAAI,CAAC,KAAK,oBAAoB,SAAS;AAAU,UAAM,IAAI,MAAM,oBAAoB;AACrF,SAAO;AAAA;AAIF,gBAAgB,KAAW;AAChC,QAAM,KAAK,IAAI;AACf,QAAM,KAAK,GAAG,GAAG,WAAW,WAAW,SAAS,GAAG,QAAQ,GAAG,aAAa,WAAW,SAAS,GAAG,QAAQ,GAAG,aAAa,WAAW,SAAS,GAAG,QAAQ,GAAG,kBAAkB,WAAW,SAAS,GAAG;AAErM,MAAI;AAAK,YAAQ,IAAI,IAAI,UAAU,GAAG;AAAA;AAIjC,IAAM,MAAM,MAAM;AACvB,MAAI,OAAO,gBAAgB;AAAa,WAAO,YAAY;AAC3D,SAAO,SAAU,QAAO,QAAQ,OAAO,YAAY,MAAO,KAAM;AAAA;AAI3D,kBAAkB,UAAU,SAAQ,SAAS,UAAU,OAAoE,IAAI;AACpI,aAAW,OAAO,OAAO,KAAK,UAAS;AACrC,QAAI,OAAO,QAAO,SAAS,UAAU;AACnC,eAAS,SAAS,MAAM,QAAO,MAAM,KAAK;AAAA,WACrC;AACL,YAAM,UAAU,YAAa,OAAO,SAAS,SAAS;AACtD,UAAI,CAAC;AAAS,aAAK,KAAK,EAAE,QAAQ,oBAAoB,OAAO,GAAG,UAAU,SAAS,QAAO;AAC1F,YAAM,OAAO,YAAY,OAAO,SAAS,SAAS,OAAO,QAAO;AAChE,UAAI,WAAW,CAAC;AAAM,aAAK,KAAK,EAAE,QAAQ,0BAA0B,OAAO,GAAG,UAAU,SAAS,QAAO,QAAQ,UAAU,OAAO,SAAS;AAAA;AAAA;AAI9I,MAAI,QAAO,SAAS,WAAW,YAAY,KAAK,SAAS;AAAG,QAAI,yBAAyB;AACzF,SAAO;AAAA;AAIF,sBAAsB,SAAS;AACpC,QAAM,WAAW,CAAC,QAAQ,OAAO,OAAO,QAAQ;AAChD,SAAO,QAAQ,OAAO,CAAC,MAAM,QAAQ;AACnC,WAAO,KAAK,OAAO,IAAI,QAAQ,CAAC,QAAQ;AACtC,YAAM,OAAO,KAAK;AAClB,YAAM,OAAO,IAAI;AACjB,UAAI,MAAM,QAAQ,SAAS,MAAM,QAAQ;AAAO,aAAK,OAAO,KAAK,OAAO,GAAG;AAAA,eAClE,SAAS,SAAS,SAAS;AAAO,aAAK,OAAO,UAAU,MAAM;AAAA;AAClE,aAAK,OAAO;AAAA;AAEnB,WAAO;AAAA,KACN;AAAA;;;ACwNL,IAAM,SAAiB;AAAA,EACrB,SAAS;AAAA,EACT,eAAe;AAAA,EACf,UAAU;AAAA,EACV,OAAO;AAAA,EACP,OAAO;AAAA,EACP,QAAQ;AAAA,EACR,kBAAkB;AAAA,EAClB,aAAa;AAAA,EACb,YAAY;AAAA,EACZ,QAAQ;AAAA,IACN,SAAS;AAAA,IACT,cAAc;AAAA,IACd,OAAO;AAAA,IACP,QAAQ;AAAA,IACR,MAAM;AAAA,IACN,QAAQ;AAAA,IACR,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;AAAA,EAEZ,SAAS;AAAA,IACP,SAAS;AAAA;AAAA,EAEX,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,cAAc;AAAA,MACd,QAAQ;AAAA;AAAA,IAEV,MAAM;AAAA,MACJ,SAAS;AAAA,MACT,WAAW;AAAA;AAAA,IAEb,MAAM;AAAA,MACJ,SAAS;AAAA,MACT,WAAW;AAAA;AAAA,IAEb,SAAS;AAAA,MACP,SAAS;AAAA,MACT,eAAe;AAAA,MACf,YAAY;AAAA,MACZ,UAAU;AAAA,MACV,WAAW;AAAA;AAAA,IAEb,aAAa;AAAA,MACX,SAAS;AAAA,MACT,WAAW;AAAA,MACX,YAAY;AAAA,MACZ,UAAU;AAAA,MACV,eAAe;AAAA;AAAA,IAEjB,WAAW;AAAA,MACT,SAAS;AAAA,MACT,YAAY;AAAA,MACZ,UAAU;AAAA,MACV,WAAW;AAAA;AAAA,IAEb,UAAU;AAAA,MACR,SAAS;AAAA,MACT,YAAY;AAAA,MACZ,UAAU;AAAA,MACV,WAAW;AAAA;AAAA;AAAA,EAGf,MAAM;AAAA,IACJ,SAAS;AAAA,IACT,WAAW;AAAA,IACX,UAAU;AAAA,MACR,WAAW;AAAA;AAAA,IAEb,aAAa;AAAA,IACb,eAAe;AAAA,IACf,YAAY;AAAA,IACZ,UAAU;AAAA;AAAA,EAEZ,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;AAAA,IAEb,UAAU;AAAA,MACR,WAAW;AAAA;AAAA;AAAA,EAGf,QAAQ;AAAA,IACN,SAAS;AAAA,IACT,WAAW;AAAA,IACX,eAAe;AAAA,IACf,cAAc;AAAA,IACd,aAAa;AAAA,IACb,YAAY;AAAA,IACZ,UAAU;AAAA;AAAA,EAEZ,cAAc;AAAA,IACZ,SAAS;AAAA,IACT,WAAW;AAAA,IACX,MAAM;AAAA;AAAA;;;ACxYV;AAAA;AAAA;AAAA;AAAA;AAAA;AAOA;AACA;AADA;AACA;AAuBA;AACA;AArBA,IAAI,UAAU;AACd,IAAI,WAAW;AACf,IAAI,WAAW;AACf,IAAI,WAAW;AACf,IAAI,WAAW;AACf,IAAI,WAAW;AACf,IAAI,WAAW;AACf,IAAI,WAAW;AACf,IAAI,WAAW;AAAA,EACb,MAAM;AAAA,EACN,aAAa;AAAA,EACb,aAAa;AAAA,EACb,eAAe;AAAA,EACf,kBAAkB;AAAA,EAClB,oBAAoB;AAAA,EACpB,sBAAsB;AAAA,EACtB,qBAAqB;AAAA;;;AC3BhB,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;;;ACjF3B,IAAM,UAAU,CAAC,QAAQ,QAAQ,eAAe;AAC9C,QAAM,IAAI,IAAI,OAAO,QAAQ,SAAS,gBAAgB;AACtD,SAAO,QAAQ,GAAG,CAAC,QAAO,SAAS;AACjC,eAAW,QAAQ;AACnB,WAAO;AAAA;AAAA;AAIX,sBAAgB;AAAA,EAKd,YAAY,IAAI,cAAc,gBAAgB;AAJ9C,mCAAU;AACV,qCAAY;AACZ;AACA;AAkBA,mCAAU,CAAC,QAAQ,SAAsB;AACvC,YAAM,SAAS,KAAK,GAAG,aAAa;AACpC,WAAK,GAAG,aAAa,QAAQ;AAC7B,WAAK,GAAG,cAAc;AACtB,UAAI,CAAC,KAAK,GAAG,mBAAmB,QAAQ,KAAK,GAAG;AAAiB,cAAM,IAAI,MAAM,8BAA8B,KAAK,GAAG,iBAAiB;AACxI,aAAO;AAAA;AArBP,SAAK,KAAK;AACV,UAAM,eAAe,KAAK,QAAQ,cAAc,KAAK,GAAG;AACxD,UAAM,iBAAiB,KAAK,QAAQ,gBAAgB,KAAK,GAAG;AAC5D,SAAK,KAAK,KAAK,GAAG;AAClB,SAAK,GAAG,aAAa,KAAK,IAAI;AAC9B,SAAK,GAAG,aAAa,KAAK,IAAI;AAC9B,SAAK,GAAG,YAAY,KAAK;AACzB,QAAI,CAAC,KAAK,GAAG,oBAAoB,KAAK,IAAI,KAAK,GAAG;AAAc,YAAM,IAAI,MAAM,2BAA2B,KAAK,GAAG,kBAAkB,KAAK;AAC1I,SAAK,GAAG,WAAW,KAAK;AACxB,YAAQ,cAAc,aAAa,KAAK;AACxC,eAAW,KAAK,KAAK;AAAW,WAAK,UAAU,KAAK,KAAK,GAAG,kBAAkB,KAAK,IAAI;AACvF,YAAQ,cAAc,WAAW,KAAK;AACtC,YAAQ,gBAAgB,WAAW,KAAK;AACxC,eAAW,KAAK,KAAK;AAAS,WAAK,QAAQ,KAAK,KAAK,GAAG,mBAAmB,KAAK,IAAI;AAAA;AAAA;AAqBjF,yBAAyB;AAC9B,MAAI,YAAY;AAChB,MAAI,gBAAqC;AACzC,MAAI,cAAc;AAClB,MAAI,0BAA0B;AAC9B,MAAI,mBAAoG,CAAC,MAAM;AAC/G,MAAI,cAAyC;AAC7C,MAAI,eAAmC;AACvC,MAAI,iBAAmC;AACvC,QAAM,WAAW,OAAO,KAAK;AAC7B,QAAM,qBAAqB;AAC3B,QAAM,OAAO,EAAE,cAAc;AAC7B,QAAM,KAAK,SAAS,WAAW;AAC/B,MAAI,CAAC;AAAI,UAAM,IAAI,MAAM;AAEzB,kBAAgB,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;AAC9G,qBAAe,GAAG;AAClB,SAAG,WAAW,GAAG,cAAc;AAC/B,SAAG,WAAW,GAAG,cAAc,UAAU,GAAG;AAC5C,SAAG,YAAY,GAAG,gCAAgC;AAAA;AAEpD,OAAG,SAAS,GAAG,GAAG,SAAS,OAAO,SAAS;AAC3C,uBAAmB,CAAC,MAAM;AAAA;AAG5B,oCAAkC,OAAO,QAAQ;AAC/C,UAAM,MAAM,GAAG;AACf,OAAG,gBAAgB,GAAG,aAAa;AACnC,UAAM,eAAe,GAAG;AACxB,OAAG,iBAAiB,GAAG,cAAc;AACrC,UAAM,UAAU,GAAG;AACnB,OAAG,YAAY,GAAG,YAAY;AAC9B,OAAG,WAAW,GAAG,YAAY,GAAG,GAAG,MAAM,OAAO,QAAQ,GAAG,GAAG,MAAM,GAAG,eAAe;AACtF,OAAG,cAAc,GAAG,YAAY,GAAG,oBAAoB,GAAG;AAC1D,OAAG,cAAc,GAAG,YAAY,GAAG,oBAAoB,GAAG;AAC1D,OAAG,cAAc,GAAG,YAAY,GAAG,gBAAgB,GAAG;AACtD,OAAG,cAAc,GAAG,YAAY,GAAG,gBAAgB,GAAG;AACtD,OAAG,qBAAqB,GAAG,aAAa,GAAG,mBAAmB,GAAG,YAAY,SAAS;AACtF,OAAG,YAAY,GAAG,YAAY;AAC9B,OAAG,gBAAgB,GAAG,aAAa;AACnC,WAAO,EAAE,KAAK;AAAA;AAGhB,8BAA4B,QAAO;AACjC,qBAAiB,UAAS,iBAAiB,WAAU,yBAAyB,SAAS,OAAO,SAAS;AACvG,WAAO,iBAAiB;AAAA;AAG1B,iBAAc,QAAQ,GAAG;AACvB,QAAI,CAAC;AAAgB;AACrB,QAAI,SAA8B;AAClC,QAAI,SAAkC;AACtC,QAAI,QAAQ;AACZ,QAAI,cAAc;AAAG,eAAS;AAAA;AACzB,eAAS,mBAAmB,yBAAyB,WAAW;AACrE;AACA,QAAI,eAAe,CAAE,SAAQ,KAAK,eAAe;AAC/C,eAAS;AACT,cAAQ,YAAY,MAAM;AAAA,WACrB;AACL,gCAA2B,2BAA0B,KAAK;AAC1D,eAAS,mBAAmB,yBAAyB,OAAO;AAAA;AAE9D,OAAG,YAAY,GAAG,YAAY;AAC9B,OAAG,gBAAgB,GAAG,aAAa;AACnC,OAAG,UAAU,eAAe,QAAQ,UAAW,QAAQ,KAAK;AAC5D,OAAG,WAAW,GAAG,WAAW,GAAG;AAAA;AAGjC,yBAAuB,gBAAgB;AACrC,QAAI,mBAAmB,iBAAiB;AACtC,uBAAiB,mBAAmB;AACpC,SAAG,WAAY,kBAAiB,eAAe,KAAK,SAAS;AAC7D,aAAO;AAAA;AAET,qBAAiB,IAAI,UAAU,IAAY,gBAAgB;AAC3D,UAAM,YAAY,aAAa;AAC/B,UAAM,WAAW,IAAI;AACrB,OAAG,wBAAwB,eAAe,UAAU;AACpD,OAAG,oBAAoB,eAAe,UAAU,QAAQ,GAAG,GAAG,OAAO,OAAO,UAAU,IAAI;AAC1F,OAAG,wBAAwB,eAAe,UAAU;AACpD,OAAG,oBAAoB,eAAe,UAAU,OAAO,GAAG,GAAG,OAAO,OAAO,UAAU,IAAI;AACzF,uBAAmB,kBAAkB;AACrC,WAAO;AAAA;AAGT,QAAM,SAAS;AAAA,IACb,aAAa,CAAC,WAAW;AACvB,YAAM,IAAI,IAAI,aAAa;AAC3B,QAAE,MAAM;AACR,QAAE,MAAM;AACR,QAAE,OAAO;AACT,QAAE,OAAO;AACT,YAAM,SAAU,EAAE,QAAQ,KAAK,EAAE,OAAO,KAAK,EAAE,OAAO,KAAK,EAAE,QAAQ,KAAK,EAAE,QAAQ,KAAK,EAAE,QAAQ,KAAK,EAAE,QAAQ,KAAK,EAAE,QAAQ,IACrH,0BACA;AACZ,YAAM,UAAU,cAAc;AAC9B,SAAG,WAAW,QAAQ,QAAQ,MAAM;AACpC;AAAA;AAAA,IAGF,YAAY,CAAC,eAAe;AAC1B,YAAM,IAAK,eAAc,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;AAAA;AAAA,IAIhB,YAAY,CAAC,WAAW;AACtB,YAAM,IAAK,WAAU,KAAK,IAAI,IAAI;AAClC,YAAM,IAAM,KAAI,KAAK;AACrB,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;AAAA;AAAA,IAIhB,YAAY,MAAM;AAChB,aAAO,WAAW;AAAA;AAAA,IAGpB,UAAU,CAAC,WAAW;AACpB,YAAM,IAAK,WAAU,KAAK;AAC1B,YAAM,IAAI,OAAQ,KAAI;AACtB,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;AAAA;AAAA,IAIhB,UAAU,MAAM;AACd,aAAO,SAAS;AAAA;AAAA,IAGlB,KAAK,CAAC,aAAa;AACjB,iBAAY,aAAY,KAAK,MAAM,KAAK;AACxC,YAAM,MAAM,KAAK,IAAI;AACrB,YAAM,MAAM,KAAK,IAAI;AACrB,YAAM,OAAO;AACb,YAAM,OAAO;AACb,YAAM,OAAO;AACb,aAAO,YAAY;AAAA,QACjB,OAAO,MAAO,KAAI,QAAQ,MAAO,CAAC;AAAA,QAAO,OAAO,MAAO,CAAC,OAAQ,MAAO,CAAC;AAAA,QAAO,OAAO,MAAO,CAAC,OAAQ,MAAO,KAAI;AAAA,QAAO;AAAA,QAAG;AAAA,QAC3H,OAAO,MAAO,CAAC,OAAQ,MAAO;AAAA,QAAQ,OAAO,MAAO,KAAI,QAAQ,MAAO;AAAA,QAAQ,OAAO,MAAO,CAAC,OAAQ,MAAO;AAAA,QAAS;AAAA,QAAG;AAAA,QACzH,OAAO,MAAO,CAAC,OAAQ,MAAO,CAAE,KAAI;AAAA,QAAQ,OAAO,MAAO,CAAC,OAAQ,MAAO;AAAA,QAAO,OAAO,MAAO,KAAI,QAAQ,MAAO;AAAA,QAAO;AAAA,QAAG;AAAA,QAC5H;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA;AAAA;AAAA,IAIhB,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;AAAA;AAAA,IAIhB,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;AAAA;AAAA,IAIhB,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;AAAA;AAAA,IAIhB,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;AAAA;AAAA,IAIhB,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;AAAA;AAAA,IAIhB,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;AAAA;AAAA,IAIhB,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;AAAA;AAAA,IAIhB,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;AAAA;AAAA,IAIhB,aAAa,CAAC,WAAW;AACvB,YAAM,IAAI,IAAI,aAAa;AAC3B,YAAM,aAAa,IAAI,SAAS;AAChC,YAAM,aAAa,IAAI,SAAS;AAChC,YAAM,UAAU,cAAsB;AACtC,SAAG,WAAW,QAAQ,QAAQ,MAAM;AACpC,SAAG,UAAU,QAAQ,QAAQ,OAAO,YAAY;AAChD;AAAA;AAAA,IAGF,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;AAAA;AAAA,IAIV,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;AAAA;AAAA,IAIX,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;AAAA;AAAA,IAIV,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;AAAA;AAAA,IAIf,QAAQ,CAAC,UAAS;AAChB,YAAM,IAAI,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;AAAA;AAAA,IAIlB,MAAM,CAAC,UAAS;AACd,YAAM,YAAa,QAAO,IAAK,SAAS;AACxC,YAAM,YAAa,QAAO,IAAK,SAAS;AACxC,YAAM,UAAU,cAAsB;AAEtC,SAAG,UAAU,QAAQ,QAAQ,OAAO,GAAG;AACvC,YAAK,KAAK;AAEV,SAAG,UAAU,QAAQ,QAAQ,OAAO,WAAW;AAC/C;AAAA;AAAA,IAGF,UAAU,CAAC,UAAS;AAClB,YAAM,YAAa,QAAQ,SAAS;AACpC,YAAM,YAAa,QAAQ,SAAS;AACpC,YAAM,UAAU,cAAsB;AACtC,SAAG,UAAU,QAAQ,QAAQ,SAAS,WAAW;AACjD;AAAA;AAAA;AAKJ,OAAK,MAAM,SAAU,MAAM;AAEzB,UAAM,OAAO,MAAM,UAAU,MAAM,KAAK,WAAW;AACnD,UAAM,OAAO,OAAO;AACpB,gBAAY,KAAK,EAAE,MAAM;AAAA;AAI3B,OAAK,QAAQ,WAAY;AACvB,kBAAc;AAAA;AAIhB,OAAK,MAAM,WAAY;AACrB,WAAO;AAAA;AAIT,OAAK,QAAQ,SAAU,SAAO;AAC5B,WAAO,QAAM,OAAO,QAAM;AAC1B,gBAAY;AACZ,QAAI,CAAC;AAAe,sBAAgB,GAAG;AACvC,OAAG,YAAY,GAAG,YAAY;AAC9B,OAAG,cAAc,GAAG,YAAY,GAAG,gBAAgB,GAAG;AACtD,OAAG,cAAc,GAAG,YAAY,GAAG,gBAAgB,GAAG;AACtD,OAAG,cAAc,GAAG,YAAY,GAAG,oBAAoB,GAAG;AAC1D,OAAG,cAAc,GAAG,YAAY,GAAG,oBAAoB,GAAG;AAC1D,OAAG,WAAW,GAAG,YAAY,GAAG,GAAG,MAAM,GAAG,MAAM,GAAG,eAAe;AACpE,aAAS,IAAI,GAAG,IAAI,YAAY,QAAQ,KAAK;AAC3C,oBAAe,MAAM,YAAY,SAAS;AAC1C,YAAM,IAAI,YAAY;AAEtB,QAAE,KAAK,MAAM,MAAM,EAAE,QAAQ;AAAA;AAE/B,WAAO;AAAA;AAIT,OAAK,OAAO,SAAU,SAAO;AAC3B,SAAK,IAAI,cAAc;AACvB,WAAO,KAAK,MAAM;AAAA;AAAA;;;ACjZtB,qCAA4C,YAAqC;AAE/E,QAAM,WAAU,WAAW,MAAM,WAAW,IAAI,AAAG,yBAAQ,cAAc;AACzE,QAAM,WAAW,AAAG,uBAAM,UAAS,GAAG;AACtC,QAAM,OAAgB,CAAC,AAAG,qBAAI,SAAS,KAAK,AAAG,qBAAI,SAAS,KAAK,AAAG,qBAAI,SAAS;AACjF,QAAM,OAAgB,CAAC,AAAG,qBAAI,SAAS,KAAK,AAAG,qBAAI,SAAS,KAAK,AAAG,qBAAI,SAAS;AACjF,QAAM,SAAS,MAAM,QAAQ,IAAI,KAAI,IAAI,CAAC,YAAY,QAAQ;AAC9D,QAAM,WAAW,OAAO,KAAK,IAAI,OAAO,GAAG,IAAI,OAAO,GAAG,IAAI,OAAO,GAAG;AACvE,QAAM,OAAM,CAAC,AAAG,qBAAI,SAAS,IAAI,KAAI,KAAK,AAAG,qBAAI,SAAS,IAAI,KAAI,KAAK,AAAG,qBAAI,SAAS,IAAI,KAAI;AAC/F,QAAM,QAAQ,CAAC,AAAG,qBAAI,KAAI,IAAI,KAAI,KAAK,AAAG,qBAAI,KAAI,IAAI,KAAI,KAAK,AAAG,qBAAI,KAAI,IAAI,KAAI;AAClF,QAAM,OAAO,CAAC,AAAG,qBAAI,UAAU,MAAM,KAAK,AAAG,qBAAI,UAAU,MAAM,KAAK,AAAG,qBAAI,UAAU,MAAM;AAC7F,QAAM,MAAM,CAAC,AAAG,qBAAI,KAAI,IAAI,KAAK,KAAK,AAAG,qBAAI,KAAI,IAAI,KAAK,KAAK,AAAG,qBAAI,KAAI,IAAI,KAAK;AACnF,QAAM,OAAM,AAAG,uBAAM,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,KAAK;AAC/C,QAAM,WAAU,AAAG,yBAAQ,MAAK,CAAC,GAAG,SAAQ,MAAM,IAAI,SAAQ,MAAM,IAAI;AACxE,EAAG,yBAAQ,CAAC,GAAG,UAAU,GAAG,MAAK,GAAG,MAAK,GAAG,MAAK,GAAG,OAAO,GAAG,MAAM,GAAG,KAAK,MAAK;AACjF,SAAO;AAAA;;;ACXT,IAAM,UAAU;AAEhB,IAAI,WAA6B;AACjC,IAAI,YAA8B;AAClC,IAAI,YAA8B;AAElC,IAAI;AAEJ,IAAM,OAAoG;AAAA,EACxG,UAAU;AAAA,EACV,WAAW;AAAA,EACX,WAAW;AAAA,EACX,aAAa;AAAA;AAGR,gBAAgB,OAAO,QAAmB;AAC/C,MAAI;AACJ,MAAI,IAAI,SAAS;AACf,QAAI,IAAI,QAAQ;AACd,UAAI,IAAI,gBAAgB,OAAO;AAAA,WAC1B;AACL,UAAI,OAAO,aAAa;AAAa,cAAM,IAAI,MAAM;AACrD,UAAI,SAAS,cAAc;AAC3B,QAAE,QAAQ;AACV,QAAE,SAAS;AAAA;AAAA,SAER;AAEL,QAAI,OAAO,IAAI,WAAW;AAAa,UAAI,IAAI,IAAI,OAAO,OAAO;AAAA,aACxD,OAAO,WAAW,WAAW;AAAa,UAAI,IAAI,WAAW,OAAO,OAAO;AAAA;AAGtF,SAAO;AAAA;AAIF,cAAc,OAAkB,QAAoB;AACzD,QAAM,eAAe,UAAU,OAAO,MAAM,OAAO,MAAM;AACzD,QAAM,MAAM,aAAa,WAAW;AACpC,MAAI,UAAU,OAAO,GAAG;AACxB,SAAO;AAAA;AAMT,wBAA8B,OAAc,SAAgB,YAAqB,MAAoE;AACnJ,MAAI,CAAC,OAAO;AAEV,QAAI,QAAO;AAAO,UAAI;AACtB,WAAO,EAAE,QAAQ,MAAM,QAAQ;AAAA;AAGjC,MACE,CAAE,kBAAoB,WACnB,CAAE,QAAO,UAAU,eAAe,iBAAiB,UACnD,CAAE,QAAO,IAAI,WAAW,eAAe,iBAAiB,IAAI,WAC5D,CAAE,QAAO,WAAW,WAAW,eAAe,iBAAiB,WAAW,WAC1E,CAAE,QAAO,cAAc,eAAe,iBAAiB,cACvD,CAAE,QAAO,gBAAgB,eAAe,iBAAiB,gBACzD,CAAE,QAAO,qBAAqB,eAAe,iBAAiB,qBAC9D,CAAE,QAAO,qBAAqB,eAAe,iBAAiB,qBAC9D,CAAE,QAAO,qBAAqB,eAAe,iBAAiB,qBAC9D,CAAE,QAAO,sBAAsB,eAAe,iBAAiB,sBAC/D,CAAE,QAAO,oBAAoB,eAAe,iBAAiB,kBAChE;AACA,UAAM,IAAI,MAAM;AAAA;AAElB,MAAI,iBAAoB,QAAQ;AAC9B,QAAI,UAAwB;AAC5B,QAAK,MAAiB;AAAuB,YAAM,IAAI,MAAM;AAC7D,QAAI,CAAE,MAAiB;AAAU,YAAM,IAAI,MAAM;AACjD,QAAK,MAAiB,MAAM,WAAW,GAAG;AACxC,UAAK,MAAiB,MAAM,OAAO,GAAG;AACpC,kBAAS,AAAG,4BAAW,OAAO;AAAA,iBACpB,MAAiB,MAAM,OAAO,GAAG;AAC3C,cAAM,OAAM,AAAG,yBAAQ,OAAO,CAAC,GAAG,GAAG,IAAI,CAAC,IAAI,IAAI;AAClD,kBAAS,AAAG,4BAAW,MAAK;AAC5B,QAAG,yBAAQ;AAAA;AAAA,eAEH,MAAiB,MAAM,WAAW,GAAG;AAC/C,UAAK,MAAiB,MAAM,OAAO,GAAG;AACpC,kBAAS,AAAG,uBAAM;AAAA,iBACR,MAAiB,MAAM,OAAO,GAAG;AAC3C,kBAAS,AAAG,yBAAQ,OAAO,CAAC,GAAG,GAAG,GAAG,IAAI,CAAC,IAAI,IAAI,IAAI;AAAA;AAAA;AAI1D,QAAI,WAAU,QAAQ,QAAO,MAAM,WAAW,KAAK,QAAO,MAAM,OAAO,KAAK,QAAO,MAAM,OAAO;AAAG,YAAM,IAAI,MAAM,8CAA8C,MAAM;AACvK,QAAK,QAAkB,UAAU,SAAS;AACxC,YAAM,QAAO,AAAG,sBAAK,SAAQ;AAC7B,MAAG,yBAAQ;AACX,gBAAS;AAAA;AAEX,WAAO,EAAE,iBAAQ,QAAS,QAAO,OAAO,SAAS,YAAY;AAAA,SACxD;AAEL,QAAI,OAAO,MAAM,kBAAkB,eAAe,MAAM,iBAAiB,GAAG;AAC1E,UAAI,QAAO;AAAO,YAAI;AACtB,aAAO,EAAE,QAAQ,MAAM,QAAQ;AAAA;AAEjC,UAAM,gBAAgB,MAAM,mBAAmB,MAAM,iBAAiB,MAAM,YAAa,MAAM,YAAa,MAAM,SAAS,KAAK;AAChI,UAAM,iBAAiB,MAAM,oBAAoB,MAAM,kBAAkB,MAAM,aAAc,MAAM,YAAa,MAAM,SAAS,KAAK;AACpI,QAAI,CAAC,iBAAiB,CAAC,gBAAgB;AACrC,UAAI,QAAO;AAAO,YAAI;AACtB,aAAO,EAAE,QAAQ,MAAM,QAAQ;AAAA;AAEjC,QAAI,cAAc;AAClB,QAAI,eAAe;AACnB,QAAI,cAAc,SAAS;AACzB,oBAAc;AACd,qBAAe,KAAK,MAAM,cAAc,iBAAiB;AAAA;AAE3D,QAAI,eAAe,SAAS;AAC1B,qBAAe;AACf,oBAAc,KAAK,MAAM,eAAe,gBAAgB;AAAA;AAI1D,QAAK,SAAO,OAAO,SAAS,KAAK;AAAG,oBAAc,QAAO,OAAO;AAAA,aACtD,SAAO,OAAO,UAAU,KAAK;AAAG,oBAAc,gBAAkB,UAAO,OAAO,UAAU,KAAK;AACvG,QAAK,SAAO,OAAO,UAAU,KAAK;AAAG,qBAAe,QAAO,OAAO;AAAA,aACxD,SAAO,OAAO,SAAS,KAAK;AAAG,qBAAe,iBAAmB,UAAO,OAAO,SAAS,KAAK;AACvG,QAAI,CAAC,eAAe,CAAC;AAAc,YAAM,IAAI,MAAM;AACnD,QAAI,CAAC,YAAa,sCAAU,WAAU,eAAiB,sCAAU,YAAW;AAAe,iBAAW,OAAO,aAAa;AAG1H,UAAM,QAAQ,SAAS,WAAW;AAClC,QAAK,OAAO,cAAc,eAAiB,iBAAiB,WAAY;AACtE,YAAM,aAAa,OAAO,GAAG;AAAA,WACxB;AACL,UAAI,QAAO,OAAO,QAAQ,OAAO,MAAM,cAAc,aAAa;AAChE,cAAM,UAAU,eAAe;AAC/B,cAAM,MAAM,IAAI;AAChB,cAAM,UAAU,OAAoB,GAAG,GAAG,eAAe,gBAAgB,GAAG,GAAG,qCAAU,OAAO,qCAAU;AAC1G,cAAM,aAAa,GAAG,GAAG,GAAG,GAAG,GAAG;AAAA,aAC7B;AACL,cAAM,UAAU,OAAoB,GAAG,GAAG,eAAe,gBAAgB,GAAG,GAAG,qCAAU,OAAO,qCAAU;AAAA;AAAA;AAI9G,QAAI,CAAC,aAAc,SAAS,UAAU,UAAU,SAAW,sCAAU,YAAW,wCAAW;AAAS,kBAAY,OAAO,SAAS,OAAO,SAAS;AAGhJ,QAAI,QAAO,OAAO,WAAW,IAAI,MAAM,WAAW;AAChD,UAAI,CAAC;AAAI,aAAK,IAAI,UAAU,IAAY,kBAAkB;AAC1D,UAAI,SAAS,CAAC,CAAC;AACf,UAAI,CAAC;AAAI,eAAO,EAAE,QAAQ,MAAM,QAAQ;AACxC,SAAG;AACH,UAAI,QAAO,OAAO,eAAe;AAAG,WAAG,IAAI,cAAc,QAAO,OAAO;AACvE,UAAI,QAAO,OAAO,aAAa;AAAG,WAAG,IAAI,YAAY,QAAO,OAAO;AACnE,UAAI,QAAO,OAAO,cAAc;AAAG,WAAG,IAAI,WAAW,QAAO,OAAO;AACnE,UAAI,QAAO,OAAO,SAAS;AAAG,WAAG,IAAI,QAAQ,QAAO,OAAO;AAC3D,UAAI,QAAO,OAAO,eAAe;AAAG,WAAG,IAAI,cAAc,QAAO,OAAO;AACvE,UAAI,QAAO,OAAO,QAAQ;AAAG,WAAG,IAAI,OAAO,QAAO,OAAO;AACzD,UAAI,QAAO,OAAO;AAAU,WAAG,IAAI;AACnC,UAAI,QAAO,OAAO;AAAO,WAAG,IAAI;AAChC,UAAI,QAAO,OAAO;AAAS,WAAG,IAAI;AAClC,UAAI,QAAO,OAAO;AAAO,WAAG,IAAI;AAChC,UAAI,QAAO,OAAO;AAAY,WAAG,IAAI;AACrC,UAAI,QAAO,OAAO;AAAa,WAAG,IAAI;AACtC,UAAI,QAAO,OAAO;AAAU,WAAG,IAAI;AACnC,UAAI,QAAO,OAAO,aAAa;AAAG,WAAG,IAAI,YAAY,QAAO,OAAO;AACnE,UAAI,GAAG,QAAQ;AAAG,oBAAY,GAAG,MAAM;AAAA;AAClC,oBAAY,GAAG,KAAK;AAAA,WACpB;AACL,WAAK,UAAU;AACf,UAAI;AAAI,aAAK;AACb,UAAI,SAAS,CAAC,CAAC;AAAA;AAGjB,QAAI,CAAC;AAAW,aAAO,EAAE,QAAQ,MAAM,QAAQ;AAC/C,QAAI,CAAC;AAAW,YAAM,IAAI,MAAM;AAGhC,QAAI;AACJ,QAAI,QAAQ;AACZ,QAAK,OAAO,cAAc,eAAe,iBAAiB,aAAe,MAAM,WAAW,MAAM,YAAY,MAAM,WAAY;AAC5H,UAAI,IAAI,WAAc,0BAAS;AAC7B,iBAAS,AAAG,2BAAU,AAAG,yBAAQ,WAAW,SAAS;AAAA,aAChD;AACL,gBAAQ,MAAM,QAAQ,SAAS,MAAM,YAAY,MAAM;AAEvD,cAAM,MAAM,IAAI,WAAW,MAAM,QAAQ;AACzC,iBAAS,AAAG,wBAAO,KAAK,CAAC,MAAM,WAAW,MAAM,UAAU,QAAQ;AAAA;AAAA,WAE/D;AACL,UAAI,CAAC,aAAc,UAAU,UAAU,UAAU,SAAW,UAAU,WAAW,UAAU;AAAS,oBAAY,OAAO,UAAU,OAAO,UAAU;AAClJ,UAAI,AAAG,4BAAW,IAAI,SAAS;AAC7B,YAAI,QAAO,YAAY,WAAW,QAAO,YAAY,aAAa,QAAO,YAAY,UAAU;AAC7F,mBAAS,AAAG,yBAAQ,WAAW;AAAA,eAC1B;AACL,sBAAY,KAAK;AACjB,mBAAS,AAAG,yBAAQ,WAAW;AAAA;AAAA,aAE5B;AACL,cAAM,aAAa,KAAK;AACxB,cAAM,UAAU,WAAW,WAAW;AACtC,cAAM,WAAW,QAAQ,aAAa,GAAG,GAAG,aAAa;AACzD,gBAAQ,SAAS,KAAK,SAAS,cAAc;AAC7C,cAAM,MAAM,IAAI,WAAW,SAAS,KAAK;AACzC,iBAAS,AAAG,wBAAO,KAAK,CAAC,aAAa,cAAc;AAAA;AAAA;AAGxD,QAAI,UAAU,GAAG;AACf,YAAM,OAAM,AAAG,yBAAQ,QAAQ,CAAC,GAAG,GAAG,IAAI,CAAC,IAAI,IAAI;AACnD,MAAG,yBAAQ;AACX,eAAS;AAAA;AAEX,QAAI,CAAC;AAAQ,YAAM,IAAI,MAAM;AAC7B,UAAM,SAAS,AAAG,sBAAK,QAAQ;AAC/B,UAAM,UAAS,QAAO,OAAO,eAAe,MAAM,AAAQ,sBAAsB,UAAU,AAAG,4BAAW,QAAQ;AAChH,IAAG,yBAAQ,CAAC,QAAQ;AACpB,WAAO,EAAE,iBAAQ,QAAS,QAAO,OAAO,SAAS,YAAY;AAAA;AAAA;AAkCjE,oBAA2B,SAAQ,OAAe;AAChD,MAAI,YAAY;AAChB,MAAI,QAAO,qBAAqB;AAAG,WAAO;AAc1C,MAAI,CAAC,KAAK,aAAa;AACrB,SAAK,cAAc,AAAG,uBAAM;AAAA,aACnB,KAAK,YAAY,MAAM,OAAO,MAAM,MAAM,MAAM,KAAK,YAAY,MAAM,OAAO,MAAM,MAAM,IAAI;AACvG,IAAG,yBAAQ,KAAK;AAChB,SAAK,cAAc,AAAG,uBAAM;AAAA,SACvB;AACL,UAAM,IAA4B;AAClC,MAAE,OAAO,AAAG,qBAAI,OAAO,KAAK;AAC5B,MAAE,UAAU,AAAG,qBAAI,EAAE,MAAM,EAAE;AAC7B,MAAE,MAAM,AAAG,qBAAI,EAAE;AACjB,UAAM,UAAU,MAAM,EAAE,IAAI;AAC5B,UAAM,eAAe,QAAQ,KAAM,OAAM,MAAM,MAAM,KAAM,OAAM,MAAM,MAAM,KAAK,MAAM;AACxF,IAAG,yBAAQ,CAAC,KAAK,aAAa,EAAE,MAAM,EAAE,SAAS,EAAE;AACnD,SAAK,cAAc,AAAG,uBAAM;AAC5B,gBAAY,gBAAgB,QAAO;AAAA;AAErC,SAAO;AAAA;AAGT,uBAA8B,SAAQ,QAAgB,QAAiC;AACrF,QAAM,IAA4B;AAClC,MAAI,CAAC,UAAU,CAAC,UAAU,OAAO,MAAM,WAAW,KAAK,OAAO,MAAM,WAAW,OAAO,MAAM,QAAQ;AAClG,QAAI,CAAC,QAAO;AAAO,UAAI,uDAAuD,OAAO,OAAO,OAAO;AACnG,WAAO;AAAA;AAET,MAAI,OAAO,MAAM,OAAO,KAAK,OAAO,MAAM,OAAO,KAAK,OAAO,MAAM,OAAO,KAAK,OAAO,MAAM,OAAO,GAAG;AACpG,QAAI,CAAC,QAAO;AAAO,UAAI,yDAAyD,OAAO,OAAO,OAAO;AACrG,WAAO;AAAA;AAET,IAAE,SAAS,AAAG,uBAAM;AACpB,IAAE,SAAU,OAAO,MAAM,OAAO,OAAO,MAAM,MAAM,OAAO,MAAM,OAAO,OAAO,MAAM,KAAM,AAAG,uBAAM,eAAe,QAAQ,CAAC,OAAO,MAAM,IAAI,OAAO,MAAM,OAAO,AAAG,uBAAM;AACzK,IAAE,OAAO,AAAG,qBAAI,EAAE,QAAQ,EAAE;AAC5B,IAAE,UAAU,AAAG,qBAAI,EAAE,MAAM,EAAE;AAC7B,IAAE,MAAM,AAAG,qBAAI,EAAE;AACjB,QAAM,UAAU,MAAM,EAAE,IAAI;AAC5B,QAAM,eAAe,QAAQ,KAAM,QAAO,MAAM,MAAM,KAAM,QAAO,MAAM,MAAM,KAAK,MAAM;AAC1F,EAAG,yBAAQ,CAAC,EAAE,QAAQ,EAAE,QAAQ,EAAE,MAAM,EAAE,SAAS,EAAE;AACrD,SAAO;AAAA;;;ACnTF,gBAAU;AAAA,EA4Ef,cAAc;AA1Ed;AAEA;AAEA;AAEA,oCAAmB;AAEnB,iCAAgB;AAEhB,oCAAqB;AAErB;AAEA;AAEA;AAIA;AAEA,mCAAmB;AAEnB,gCAKI;AAAA,MACA,WAAW;AAAA,MACX,SAAS;AAAA,MACT,MAAM;AAAA,MACN,aAAa;AAAA;AAGjB,iCAKI;AAAA,MACA,WAAW;AAAA,MACX,SAAS;AAAA,MACT,SAAS;AAAA,MACT,UAAU;AAAA;AAGd,kCAII;AAAA,MACA,WAAW;AAAA,MACX,SAAS;AAAA,MACT,SAAS;AAAA;AAGb,+BAGI;AAAA,MACA,OAAO;AAAA,MACP,OAAO;AAAA;AAGX,mCAAoB;AAEpB;AAEA;AAEA;AAGE,SAAK,UAAU,OAAO,cAAc;AACpC,SAAK,OAAO,OAAO,YAAY;AAC/B,SAAK,OAAO,EAAE,SAAY;AAC1B,SAAK,YAAY,OAAO,oBAAoB;AAC5C,SAAK,UAAU;AAEf,SAAK,SAAS,KAAK,WAAW,KAAK,YAAa,OAAO,sBAAsB,cAAe;AAC5F,QAAI,OAAO,cAAc,aAAa;AACpC,YAAM,MAAM,UAAU,UAAU,MAAM;AACtC,UAAI,OAAO,IAAI,IAAI;AACjB,cAAM,gBAAgB,IAAI,GAAG,MAAM;AACnC,aAAK,WAAY,iBAAiB,cAAc,KAAM,cAAc,GAAG,QAAQ,UAAU,MAAM;AAC/F,aAAK,QAAQ,UAAU,UAAU,QAAQ,IAAI,IAAI;AACjD,YAAI,KAAK,SAAS;AAAI,eAAK,QAAQ,KAAK,MAAM,QAAQ,IAAI,IAAI;AAC9D,aAAK,QAAQ,KAAK,MAAM,QAAQ,OAAO;AAAA;AAAA,eAWhC,OAAO,YAAY,aAAa;AACzC,WAAK,WAAW,GAAG,QAAQ,YAAY,QAAQ;AAC/C,WAAK,QAAQ,UAAU,QAAQ;AAAA;AAAA;AAAA,QAI7B,gBAAgB;AAEpB,SAAK,WAAW,OAAO,KAAK,AAAG,0BAAS;AACxC,SAAK,KAAK,YAAY,OAAO,gBAAgB;AAC7C,SAAK,KAAK,UAAU,KAAK,SAAS,SAAS;AAC3C,QAAI,KAAK,KAAK,aAAa,KAAK,KAAK,WAAW,AAAG,kCAAiB,QAAQ;AAC1E,WAAK,KAAK,OAAO,MAAM,AAAG,uBAAM,SAAS;AACzC,WAAK,KAAK,cAAc,MAAM,AAAG,uBAAM,SAAS;AAAA;AAElD,UAAM,IAAI,AAAM,OAAO,KAAK;AAC5B,UAAM,MAAM,IAAI,EAAE,WAAW,YAAY;AAEzC,SAAK,MAAM,YAAY,OAAO,QAAQ;AACtC,SAAK,MAAM,UAAU,KAAK,SAAS,SAAS;AAC5C,QAAI,KAAK,MAAM,aAAa,KAAK,MAAM,WAAY,CAAG,kCAAiB,WAAW,AAAG,kCAAiB,YAAY;AAEhH,YAAM,KAAK,AAAG,2BAAU,UAAU,cAAc,MAAM,AAAG,2BAAU,kBAAkB,KAAK;AAC1F,UAAI,IAAI;AACN,aAAK,MAAM,UAAU,GAAG,aAAa,GAAG;AACxC,aAAK,MAAM,WAAW,GAAG,aAAa,GAAG;AAAA;AAAA;AAG7C,SAAK,OAAO,YAAY,KAAK,WAAW,OAAO,UAAU,WAAW;AACpE,SAAK,OAAO,UAAU,KAAK,SAAS,SAAS;AAC7C,QAAI,KAAK,OAAO;AAAW,WAAK,OAAO,UAAW,OAAM,UAAU,OAAO,kBAAkB;AAE3F,SAAK,UAAU,AAAG,sCAAqB,AAAG,+BAAc,IAAI,CAAC,WAAW,OAAO,WAAW;AAAA;AAAA,QAGtF,YAAY;AAChB,UAAM,MAAM,EAAE,OAAO,IAAI,OAAO;AAChC,QAAI,KAAK,QAAQ,KAAK,SAAS,WAAW,UAAU;AAElD,YAAM,KAAK,UAAQ;AACnB,UAAI;AACF,cAAM,OAAO,GAAG,aAAa,iBAAiB;AAC9C,mBAAW,QAAQ,KAAK,MAAM,OAAO;AACnC,cAAI,KAAK,WAAW,eAAe;AACjC,gBAAI,QAAQ,KAAK,MAAM,UAAU,GAAG,QAAQ,KAAK,IAAI;AAAA;AAEvD,cAAI,KAAK,WAAW,UAAU;AAC5B,gBAAI,QAAQ,KAAK,MAAM,UAAU,GAAG,QAAQ,KAAK,IAAI,OAAO,MAAM,KAAK;AAAA;AAAA;AAAA,eAGrE,GAAN;AAAA;AAAA;AAEJ,QAAI,CAAC,KAAK;AAAQ,aAAO,eAAe,MAAM,OAAO,EAAE,OAAO;AAAA;AACzD,WAAK,SAAS;AAAA;AAAA;AAIhB,IAAM,MAAM,IAAI;;;;;;ACpJvB,IAAI;AAIJ,IAAI,UAAU,OAAO;AAGrB,oBAA2B,SAAsB;AAC/C,MAAI,IAAI;AAAS,YAAQ;AACzB,MAAI,CAAC,OAAO;AACV,YAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,QAAO,KAAK,cAAc;AACrF,QAAI,CAAC,SAAS,CAAC,MAAM;AAAa,UAAI,sBAAsB,QAAO,KAAK,cAAc;AAAA,aAC7E,QAAO;AAAO,UAAI,eAAe,MAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,MAAM;AACpD,SAAO;AAAA;;;ACnBT,IAAI;AACJ,IAAM,SAAwB;AAC9B,IAAI,WAAU,OAAO;AACrB,IAAI,YAAY;AAChB,IAAI,WAAW;AAEf,qBAA2B,SAAqC;AAhBhE;AAiBE,MAAI,IAAI;AAAS,aAAQ;AACzB,MAAI,CAAC,QAAO;AACV,aAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,eAAO,KAAK,cAAZ,mBAAuB,cAAa;AAC/F,QAAI,CAAC,UAAS,CAAC,OAAM;AAAa,UAAI,sBAAsB,cAAO,KAAK,cAAZ,mBAAuB;AAAA,aAC1E,QAAO;AAAO,UAAI,eAAe,OAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,OAAM;AACpD,SAAO;AAAA;AAGT,uBAA8B,SAAe,SAAgB,KAAK,QAAO;AA1BzE;AA2BE,MAAI,CAAC;AAAO,WAAO;AACnB,QAAM,WAAY,gBAAO,KAAK,cAAZ,mBAAuB,aAAY,KAAM,QAAQ;AACnE,QAAM,YAAY,WAAW,gBAAO,KAAK,cAAZ,mBAAuB,eAAc;AAClE,MAAI,QAAO,eAAe,YAAY,aAAc,cAAc,UAAU,OAAO,MAAM;AACvF;AACA,WAAO,OAAO;AAAA;AAEhB,aAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAM,SAAS,AAAG,uBAAM,eAAe,SAAO,CAAC,kCAAO,OAAO,GAAG,SAAQ,OAAM,OAAO,GAAG,MAAM,KAAK,GAAG,kCAAO,OAAO,GAAG,SAAQ,OAAM,OAAO,GAAG,MAAM,KAAK,IAAI;AAC9J,UAAM,MAAM,iCAAO,QAAQ;AAC3B,UAAM,MAAO,OAAM,IAAI,QAAQ;AAC/B,WAAO,OAAO,KAAK,MAAM,MAAM,OAAO;AACtC,gBAAY;AACZ,eAAW;AACX,IAAG,yBAAQ,CAAC,QAAQ;AACpB,YAAQ,OAAO;AAAA;AAAA;;;ACtCZ,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;AAAA,EAEpD,gBAAgB,CAAC,IAAI,KAAK,IAAI,IAAI,IAAI,GAAG,KAAK,KAAK,KAAK,KAAK;AAAA,EAC7D,gBAAgB,CAAC,KAAK,IAAI,KAAK,IAAI,IAAI,KAAK,KAAK,KAAK,KAAK;AAAA,EAC3D,gBAAgB,CAAC,IAAI,KAAK,IAAI,IAAI,IAAI,IAAI,KAAK,KAAK,KAAK,KAAK;AAAA,EAC9D,gBAAgB,CAAC,IAAI,IAAI,IAAI,KAAK,IAAI,IAAI,KAAK,KAAK,KAAK,KAAK;AAAA,EAC9D,gBAAgB,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EAC/C,gBAAgB,CAAC,IAAI,GAAG,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EACtD,gBAAgB,CAAC,KAAK,IAAI,IAAI,IAAI,IAAI,IAAI;AAAA,EAC1C,gBAAgB,CAAC,KAAK,IAAI,KAAK,IAAI,IAAI,IAAI,IAAI,KAAK;AAAA,EACpD,gBAAgB,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EAC/C,gBAAgB,CAAC,KAAK,IAAI,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EACxD,gBAAgB,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EACzD,mBAAmB,CAAC,KAAK,IAAI,IAAI,KAAK,IAAI,KAAK,IAAI;AAAA,EACnD,mBAAmB,CAAC,IAAI,KAAK,IAAI,IAAI,IAAI;AAAA,EACzC,cAAc,CAAC,KAAK,KAAK,KAAK,KAAK;AAAA,EACnC,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EAC9C,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EACxD,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EAC9C,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EACxD,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EAC9C,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EACxD,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EACxD,kBAAkB,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EACtD,kBAAkB,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EAC5C,aAAa,CAAC,KAAK,KAAK,KAAK,KAAK;AAAA,EAClC,mBAAmB,CAAC;AAAA,EACpB,SAAS,CAAC;AAAA,EACV,YAAY,CAAC;AAAA,EACb,iBAAiB,CAAC;AAAA,EAClB,gBAAgB,CAAC;AAAA,EACjB,YAAY,CAAC;AAAA,EACb,WAAW,CAAC;AAAA;AAGP,IAAM,gBAAmD;AAAA,EAC9D,OAAO;AAAA,EACP,OAAO;AAAA,EACP,cAAc,CAAC,IAAI,gBAAgB,qBAAqB;AAAA;AAGnD,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;AAAA;AAGb,IAAM,2BAAsE;AAAA,EACjF,EAAE,KAAK,aAAa,SAAS,CAAC,GAAG,IAAI,IAAI,IAAI,IAAI,IAAI;AAAA,EACrD,EAAE,KAAK,aAAa,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI;AAAA,EACtD,EAAE,KAAK,aAAa,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI;AAAA,EACtD,EAAE,KAAK,aAAa,SAAS,CAAC,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG;AAAA,EACtD,EAAE,KAAK,aAAa,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI;AAAA,EAC9D,EAAE,KAAK,aAAa,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI;AAAA,EAC9D,EAAE,KAAK,aAAa,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI;AAAA;AAKzD,IAAM,QAA4B;AAAA,EACvC,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,iBAAiB;AAAA,EAClB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,iBAAiB;AAAA,EAClB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,iBAAiB;AAAA,EAClB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,iBAAiB;AAAA,EAClB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,iBAAiB;AAAA,EAClB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,iBAAiB;AAAA,EAClB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,iBAAiB;AAAA,EAClB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,iBAAiB;AAAA,EAClB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,kBAAkB;AAAA,EACnB,CAAC,gBAAgB;AAAA,EACjB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,iBAAiB;AAAA,EAClB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA;AAGf,IAAM,SAAwB;AAAA,EACnC;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;AAAA;AAwBvI,IAAM,QAAuB;AAAA,EACtB;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,EAC/E;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC1C;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAG;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;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,EACtD;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAChD;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA;AAGtC,IAAM,QAAuB,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;AAE/K,IAAM,OAAsB,CAAC,IAAI,KAAK,KAAK,KAAK,GAAG,IAAI;AAEvD,IAAM,OAAO,MAAM,IAAI,CAAC,MAAM,MAAM;AAEpC,IAAM,OAAO,MAAM,IAAI,CAAC,MAAM,MAAM;AAEpC,IAAM,MAAM,KAAK,IAAI,CAAC,MAAM,MAAM;;;AC9oBlC,IAAM,aAAa,CAAC,SAA0B,CAAC,KAAK,IAAI,KAAI,SAAS,KAAK,KAAI,WAAW,KAAK,KAAK,IAAI,KAAI,SAAS,KAAK,KAAI,WAAW;AAExI,IAAM,eAAe,CAAC,SAA0B,CAAC,KAAI,WAAW,KAAM,MAAI,SAAS,KAAK,KAAI,WAAW,MAAM,GAAG,KAAI,WAAW,KAAM,MAAI,SAAS,KAAK,KAAI,WAAW,MAAM;AAE5K,IAAM,gBAAgB,CAAC,MAAK,UAAgB,OAAM;AAAA,EACvD,KAAK,MAAM,KAAK,IAAI,GAAG,KAAI,WAAW;AAAA,EACtC,KAAK,MAAM,KAAK,IAAI,GAAG,KAAI,WAAW;AAAA,EACtC,KAAK,MAAM,KAAK,IAAK,MAAM,MAAM,MAAM,GAAI,KAAI,SAAS,MAAM,KAAK,IAAI,GAAG,KAAI,WAAW;AAAA,EACzF,KAAK,MAAM,KAAK,IAAK,MAAM,MAAM,MAAM,GAAI,KAAI,SAAS,MAAM,KAAK,IAAI,GAAG,KAAI,WAAW;AAAA,IACvF,CAAC,GAAG,GAAG,GAAG;AAEP,IAAM,YAAY,CAAC,MAAK,UAAgB,OAAM;AAAA,EACnD,KAAI,WAAW,KAAM,OAAM,MAAM,MAAM;AAAA,EACvC,KAAI,WAAW,KAAM,OAAM,MAAM,MAAM;AAAA,EACtC,MAAI,SAAS,KAAK,KAAI,WAAW,MAAO,OAAM,MAAM,MAAM;AAAA,EAC1D,MAAI,SAAS,KAAK,KAAI,WAAW,MAAO,OAAM,MAAM,MAAM;AAAA,IACzD,CAAC,GAAG,GAAG,GAAG;AAEP,IAAM,sBAAsB,CAAC,MAAK,WAAW;AAClD,QAAM,aAAa,CAAC,KAAI,WAAW,KAAK,OAAO,IAAI,KAAI,WAAW,KAAK,OAAO;AAC9E,QAAM,WAAW,CAAC,KAAI,SAAS,KAAK,OAAO,IAAI,KAAI,SAAS,KAAK,OAAO;AACxE,SAAO,EAAE,YAAY,UAAU,WAAW,KAAI,WAAW,YAAY,KAAI;AAAA;AAGpE,IAAM,2BAA2B,CAAC,MAAK,SAAO,aAAa;AAChE,QAAM,IAAI,QAAM,MAAM;AACtB,QAAM,IAAI,QAAM,MAAM;AACtB,QAAM,QAAO,AAAG,uBAAM,cAAc,SAAO,CAAC,CAAC,KAAI,WAAW,KAAK,GAAG,KAAI,WAAW,KAAK,GAAG,KAAI,SAAS,KAAK,GAAG,KAAI,SAAS,KAAK,KAAK,CAAC,IAAI;AAC5I,QAAM,OAAO,AAAG,qBAAI,OAAM;AAC1B,EAAG,yBAAQ;AACX,SAAO;AAAA;AAGF,IAAM,aAAa,CAAC,MAAK,WAAW;AACzC,QAAM,SAAS,aAAa;AAC5B,QAAM,QAAO,WAAW;AACxB,QAAM,WAA6B,CAAC,SAAS,MAAK,KAAK,GAAG,SAAS,MAAK,KAAK;AAC7E,SAAO,EAAE,YAAY,CAAC,OAAO,KAAK,SAAS,IAAI,OAAO,KAAK,SAAS,KAAc,UAAU,CAAC,OAAO,KAAK,SAAS,IAAI,OAAO,KAAK,SAAS,KAAc,WAAW,KAAI,WAAW,YAAY,KAAI;AAAA;AAG9L,IAAM,cAAc,CAAC,SAAQ;AAClC,QAAM,UAAU,aAAa;AAC7B,QAAM,QAAO,WAAW;AACxB,QAAM,WAAW,KAAK,IAAI,GAAG,SAAQ;AACrC,SAAO,EAAE,YAAY,CAAC,KAAK,MAAM,QAAQ,KAAK,WAAW,KAAK,MAAM,QAAQ,KAAK,YAAqB,UAAU,CAAC,KAAK,MAAM,QAAQ,KAAK,WAAW,KAAK,MAAM,QAAQ,KAAK,YAAqB,WAAW,KAAI,WAAW,YAAY,KAAI;AAAA;AAGtO,IAAM,gCAAgC,CAAC,cAAc;AAC1D,QAAM,KAAK,UAAU,IAAI,CAAC,MAAM,EAAE;AAClC,QAAM,KAAK,UAAU,IAAI,CAAC,MAAM,EAAE;AAClC,SAAO,EAAE,YAAY,CAAC,KAAK,IAAI,GAAG,KAAK,KAAK,IAAI,GAAG,MAAe,UAAU,CAAC,KAAK,IAAI,GAAG,KAAK,KAAK,IAAI,GAAG,MAAe;AAAA;AAGpH,IAAM,sBAAsB,CAAC,CAAC,GAAG,GAAG,IAAI,CAAC,GAAG,GAAG,IAAI,CAAC,GAAG,GAAG;AAE1D,IAAM,mBAAmB,CAAC,UAAU,QAAQ,IAAI,KAAK,KAAK,KAAK,MAAO,SAAQ,KAAK,MAAO,KAAI,KAAK;AAEnG,IAAM,kBAAkB,CAAC,QAAQ,WAAW,iBAAiB,KAAK,KAAK,IAAI,KAAK,MAAM,CAAE,QAAO,KAAK,OAAO,KAAK,OAAO,KAAK,OAAO;AAInI,IAAM,yBAAyB,CAAC,GAAG,MAAM,CAAC,CAAC,GAAG,GAAG,IAAI,CAAC,GAAG,GAAG,IAAI,CAAC,GAAG,GAAG;AAEvE,IAAM,MAAM,CAAC,IAAc,OAAiB;AACjD,MAAI,UAAU;AACd,WAAS,IAAI,GAAG,IAAI,GAAG,QAAQ;AAAK,eAAW,GAAG,KAAK,GAAG;AAC1D,SAAO;AAAA;AAGF,IAAM,qBAAqB,CAAC,KAAK,gBAAgB;AACtD,QAAM,SAAwB;AAC9B,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ;AAAK,WAAO,KAAK,IAAI,GAAG;AACxD,SAAO;AAAA;AAGF,IAAM,4BAA4B,CAAC,MAAM,SAAS;AACvD,QAAM,UAA2B;AACjC,QAAM,QAAO,KAAK;AAClB,WAAS,MAAM,GAAG,MAAM,OAAM,OAAO;AACnC,YAAQ,KAAK;AACb,aAAS,MAAM,GAAG,MAAM,OAAM;AAAO,cAAQ,KAAK,KAAK,IAAI,KAAK,MAAM,mBAAmB,MAAM;AAAA;AAEjG,SAAO;AAAA;AAGF,IAAM,sBAAsB,CAAC,UAAU,WAAW;AACvD,QAAM,OAAO,KAAK,IAAI;AACtB,QAAM,OAAO,KAAK,IAAI;AACtB,QAAM,iBAAiB,CAAC,CAAC,MAAM,CAAC,MAAM,IAAI,CAAC,MAAM,MAAM,IAAI,CAAC,GAAG,GAAG;AAClE,QAAM,oBAAoB,uBAAuB,OAAO,IAAI,OAAO;AACnE,QAAM,2BAA2B,0BAA0B,mBAAmB;AAC9E,QAAM,4BAA4B,uBAAuB,CAAC,OAAO,IAAI,CAAC,OAAO;AAC7E,SAAO,0BAA0B,0BAA0B;AAAA;AAGtD,IAAM,wBAAwB,CAAC,WAAW;AAC/C,QAAM,oBAAoB,CAAC,CAAC,OAAO,GAAG,IAAI,OAAO,GAAG,KAAK,CAAC,OAAO,GAAG,IAAI,OAAO,GAAG;AAClF,QAAM,uBAAuB,CAAC,OAAO,GAAG,IAAI,OAAO,GAAG;AACtD,QAAM,sBAAsB,CAAC,CAAC,IAAI,kBAAkB,IAAI,uBAAuB,CAAC,IAAI,kBAAkB,IAAI;AAC1G,SAAO,CAAC,kBAAkB,GAAG,OAAO,oBAAoB,KAAK,kBAAkB,GAAG,OAAO,oBAAoB,KAAK,CAAC,GAAG,GAAG;AAAA;AAGpH,IAAM,cAAc,CAAC,uBAAuB,mBAAmB,CAAC,IAAI,uBAAuB,eAAe,KAAK,IAAI,uBAAuB,eAAe;AAIzJ,yBAAyB,YAAW;AACzC,QAAM,OAAO,EAAE,SAAS,CAAC,aAAY,IAAI,aAAY,IAAI,SAAS,CAAC,GAAG;AACtE,QAAM,WAAmC;AACzC,WAAS,IAAI,GAAG,IAAI,KAAK,QAAQ,QAAQ,KAAK;AAC5C,UAAM,SAAS,KAAK,QAAQ;AAC5B,UAAM,WAAW,KAAK,MAAO,cAAY,SAAS,KAAK;AACvD,UAAM,WAAW,KAAK,MAAO,cAAY,SAAS,KAAK;AACvD,UAAM,aAAa,KAAK,QAAQ;AAChC,aAAS,QAAQ,GAAG,QAAQ,UAAU,SAAS;AAC7C,YAAM,UAAU,SAAU,SAAQ;AAClC,eAAS,QAAQ,GAAG,QAAQ,UAAU,SAAS;AAC7C,cAAM,UAAU,SAAU,SAAQ;AAClC,iBAAS,IAAI,GAAG,IAAI,YAAY;AAAK,mBAAQ,KAAK,CAAC,SAAS;AAAA;AAAA;AAAA;AAIlE,SAAO;AAAA;AAGF,4BAA4B,WAAW,MAAK,OAAO,gBAAgB,YAAW;AACnF,QAAM,UAAU,WAAW;AAC3B,QAAM,eAAe,UAAU,IAAI,CAAC,UAAW;AAAA,IAC7C,QAAQ,KAAK,aAAa,OAAM,KAAK,aAAY;AAAA,IACjD,QAAQ,KAAK,aAAa,OAAM,KAAK,aAAY;AAAA,IACjD,MAAM,MAAM;AAAA;AAEd,QAAM,aAAa,SAAU,UAAU,KAAO,KAAK,IAAI,SAAS;AAChE,QAAM,uBAAuB,aAAa,oBAAoB,OAAO,CAAC,GAAG,MAAM;AAC/E,QAAM,gBAAgB,aAAa,aAAa,IAAI,CAAC,UAAW,CAAC,GAAG,YAAY,OAAO,uBAAuB,MAAM,OAAQ;AAC5H,QAAM,wBAAwB,aAAa,sBAAsB,kBAAkB;AACnF,QAAM,YAAY,CAAC,GAAG,aAAa,EAAE,YAAY,KAAI,YAAY,UAAU,KAAI,aAAa;AAC5F,SAAO,cAAc,IAAI,CAAC,UAAW;AAAA,IACnC,KAAK,MAAM,MAAM,KAAK,IAAI,WAAW,sBAAsB;AAAA,IAC3D,KAAK,MAAM,MAAM,KAAK,IAAI,WAAW,sBAAsB;AAAA,IAC3D,KAAK,MAAM,MAAM,MAAM;AAAA;AAAA;AAIpB,6BAA6B,QAAQ,MAAK,OAAO,YAAW;AACjE,QAAM,eAAgB,KAAI,UAAU,UAAU,AAAO,cAAc,QAC/D,AAAO,cAAc,eACrB,AAAO,mBAAmB;AAC9B,MAAI,QAAQ;AACZ,MAAI,iBAAiB;AACrB,MAAI;AAEJ,MAAI,UAAU,IAAI,QAAQ,SAAS,qBAAqB;AACtD,YAAQ,gBAAgB,KAAI,UAAU,aAAa,KAAK,KAAI,UAAU,aAAa;AACnF,UAAM,aAAa,SAAU,UAAU,KAAO,KAAK,IAAI,SAAS;AAChE,QAAI,YAAY;AACd,YAAM,SAAgB,aAAa,EAAE,YAAY,KAAI,YAAY,UAAU,KAAI;AAC/E,YAAM,YAAmB,CAAC,OAAO,KAAK,MAAM,MAAM,IAAI,OAAO,KAAK,MAAM,MAAM;AAC9E,YAAM,UAAU,AAAG,uBAAM,iBAAiB,OAAO,OAAO,GAAG;AAC3D,uBAAiB,oBAAoB,CAAC,OAAO;AAC7C,cAAO,yBAAyB,MAAK,SAAS,CAAC,YAAW;AAC1D,MAAG,yBAAQ;AAAA,WACN;AACL,cAAO,yBAAyB,MAAK,OAAO,CAAC,YAAW;AAAA;AAAA,SAErD;AACL,YAAO,yBAAyB,MAAK,OAAO,CAAC,YAAW;AAAA;AAE1D,SAAO,CAAC,OAAO,gBAAgB;AAAA;;;ACzKjC,IAAM,iBAAiB;AACvB,IAAI;AACJ,IAAI,cAAkC;AACtC,IAAI,UAAyB;AAC7B,IAAI,YAAY;AAGT,IAAM,OAAO,MAAM;AAE1B,qBAA2B,SAAqC;AAtBhE;AAuBE,MAAI,IAAI;AAAS,aAAQ;AACzB,MAAI,CAAC,QAAO;AACV,aAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,eAAO,KAAK,aAAZ,mBAAsB,cAAa;AAC9F,QAAI,CAAC,UAAS,CAAC,OAAM;AAAa,UAAI,sBAAsB,cAAO,KAAK,aAAZ,mBAAsB;AAAA,aACzE,QAAO;AAAO,UAAI,eAAe,OAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,OAAM;AACpD,cAAY,OAAM,OAAO,GAAG,QAAQ,OAAM,OAAO,GAAG,MAAM,KAAK;AAC/D,MAAI,cAAc;AAAI,gBAAY;AAClC,gBAAc,AAAK,gBAAgB;AACnC,YAAU,AAAG,0BAAS;AACtB,SAAO;AAAA;AAGT,sBAAsB,YAAY;AAChC,QAAM,IAA4B;AAClC,IAAE,YAAY,AAAG,uBAAM,YAAY,CAAC,GAAG,IAAI,CAAC,IAAI;AAChD,IAAE,UAAU,AAAG,qBAAI,EAAE,WAAW;AAChC,IAAE,WAAW,AAAG,uBAAM,YAAY,CAAC,GAAG,IAAI,CAAC,IAAI;AAC/C,IAAE,qBAAqB,AAAG,qBAAI,EAAE,UAAU;AAC1C,IAAE,oBAAoB,AAAG,qBAAI,EAAE,SAAS;AACxC,IAAE,cAAc,AAAG,qBAAI,EAAE,oBAAoB;AAC7C,IAAE,SAAS,AAAG,qBAAI,EAAE,mBAAmB,EAAE;AACzC,IAAE,OAAO,AAAG,qBAAI,EAAE,mBAAmB,EAAE;AACvC,IAAE,kBAAkB,AAAG,qBAAI,EAAE,QAAQ;AACrC,IAAE,gBAAgB,AAAG,qBAAI,EAAE,MAAM;AACjC,QAAM,QAAQ,AAAG,0BAAS,CAAC,EAAE,iBAAiB,EAAE,gBAAgB;AAChE,SAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAChD,SAAO;AAAA;AAGT,wBAA+B,YAAoB,SAAgB;AArDnE;AAuDE,MAAK,CAAC,cAAgB,WAAW,yBAA2B,WAAW,MAAM,WAAW,KAAO,WAAW,MAAM,KAAK,KAAO,WAAW,MAAM,KAAK;AAAI,WAAO,EAAE,OAAO;AACtK,QAAM,IAA4B;AAElC,IAAE,UAAU,AAAG,uBAAM,eAAe,YAAY,CAAC,WAAW;AAC5D,IAAE,MAAM,AAAG,qBAAI,EAAE,SAAS;AAC1B,IAAE,aAAa,AAAG,qBAAI,EAAE,KAAK;AAC7B,QAAM,MAAM,iCAAO,QAAQ,EAAE;AAC7B,MAAI,MAAM,QAAQ,MAAM;AACtB,UAAM,SAAS,IAAI,KAAK,CAAC,GAAG,MAAM,EAAE,OAAO,EAAE;AAC7C,MAAE,YAAY,AAAG,wBAAO,CAAC,OAAO,IAAI,OAAO,KAAK;AAChD,MAAE,YAAY,AAAG,wBAAO,CAAC,OAAO,IAAI,OAAO,KAAK;AAChD,MAAE,SAAS,AAAG,wBAAO,CAAC,EAAE,WAAW,EAAE,YAAY;AACjD,MAAE,QAAQ,AAAG,yBAAQ,EAAE,QAAQ;AAAA,SAC1B;AACL,MAAE,QAAQ,AAAG,yBAAQ;AAAA;AAEvB,EAAG,yBAAQ;AACX,IAAE,QAAQ,aAAa,EAAE;AACzB,IAAE,SAAS,AAAG,uBAAM,EAAE,OAAO,CAAC,GAAG,IAAI,CAAC,IAAI;AAC1C,IAAE,UAAU,AAAG,yBAAQ,EAAE;AACzB,IAAE,SAAS,AAAG,yBAAQ,EAAE;AAExB,IAAE,MAAM,MAAM,AAAG,uBAAM,uBAAuB,EAAE,OAAO,EAAE,QAAS,eAAO,KAAK,aAAZ,mBAAsB,gBAAe,GAAK,eAAO,KAAK,aAAZ,mBAAsB,iBAAgB,GAAK,eAAO,KAAK,aAAZ,mBAAsB,kBAAiB;AAC9L,QAAM,MAAM,MAAM,EAAE,IAAI;AACxB,QAAM,QAAwG;AAC9G,QAAM,SAAS,MAAM,EAAE,OAAO;AAC9B,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AACnC,UAAM,aAAa,OAAO,IAAI;AAC9B,QAAI,aAAc,gBAAO,KAAK,aAAZ,mBAAsB,kBAAiB,IAAI;AAC3D,YAAM,IAA4B;AAClC,QAAE,OAAO,AAAG,uBAAM,EAAE,OAAO,CAAC,IAAI,IAAI,IAAI,CAAC,GAAG;AAC5C,QAAE,QAAQ,AAAG,uBAAM,EAAE,OAAO,CAAC,IAAI,IAAI,iBAAiB,IAAI,CAAC,GAAG;AAC9D,QAAE,UAAU,AAAG,yBAAQ,EAAE;AACzB,QAAE,YAAY,AAAG,yBAAQ,EAAE,SAAS,CAAC,gBAAgB;AACrD,QAAE,aAAa,AAAG,uBAAM,EAAE,MAAM,CAAC,GAAG,IAAI,CAAC,IAAI;AAC7C,QAAE,WAAW,AAAG,uBAAM,EAAE,MAAM,CAAC,GAAG,IAAI,CAAC,IAAI;AAC3C,YAAM,KAAK;AAAA,QACT,KAAK;AAAA,UACH,YAAa,MAAM,EAAE,WAAW;AAAA,UAChC,UAAW,MAAM,EAAE,SAAS;AAAA;AAAA,QAE9B,WAAY,MAAM,EAAE,UAAU;AAAA,QAC9B;AAAA;AAEF,aAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAAA;AAAA;AAIpD,SAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAChD,SAAO,EAAE,OAAO,aAAa,CAAC,WAAW,MAAM,KAAK,WAAW,WAAW,MAAM,KAAK;AAAA;;;ACxGvF;AAAA;AAAA;AAAA;AAAA;AAEO,IAAM,MAAqB;AAAA,EAChC;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;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;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA;AAGK,IAAM,YAAsC;AAAA,EACjD,SAAS,CAAC,WAAW,YAAY,aAAa,YAAY;AAAA,EAC1D,UAAU,CAAC,YAAY,aAAa,cAAc,aAAa;AAAA,EAC/D,OAAO,CAAC,gBAAgB,iBAAiB,YAAY,WAAW;AAAA,EAChE,SAAS,CAAC,gBAAgB,aAAa,aAAa;AAAA,EACpD,UAAU,CAAC,iBAAiB,cAAc,cAAc;AAAA,EACxD,UAAU;AAAA,EACV,WAAW;AAAA,EACX,MAAM;AAAA;;;ACzCR,IAAM,OAAM,EAAE,SAAS;AACvB,IAAM,SAAiD,CAAC,MAAM;AAC9D,IAAM,aAAY,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG;AAC/B,IAAI,WAAU,OAAO;AACrB,IAAI;AACJ,IAAI,QAA2B;AAC/B,IAAI,UAA8B,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG;AAC/D,IAAI,YAAW;AAEf,0BAAiC,SAAqC;AApBtE;AAqBE,MAAI,KAAI;AAAS,WAAO,KAAK;AAC7B,MAAI,CAAC,OAAO,MAAM,eAAO,KAAK,aAAZ,mBAAsB,cAAa,IAAI;AACvD,WAAO,KAAK,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,eAAO,KAAK,aAAZ,mBAAsB,cAAa;AAClG,UAAM,SAAS,OAAO,OAAO,OAAO,GAAG,eAAe;AACtD,eAAU,GAAG,KAAK,MAAM,QAAQ,UAAU,SAAS,OAAO,GAAG,YAAY,IAAI,GAAG,QAAQ;AACxF,eAAU,GAAG,KAAK,MAAM,QAAQ,UAAU,SAAS,OAAO,GAAG,YAAY,IAAI,GAAG,QAAQ;AACxF,QAAI,CAAC,OAAO,MAAM,CAAC,OAAO,GAAG;AAAa,UAAI,sBAAsB,cAAO,KAAK,aAAZ,mBAAsB;AAAA,aACjF,QAAO;AAAO,UAAI,eAAe,OAAO,GAAG;AAAA,aAC3C,QAAO,SAAS,OAAO;AAAI,QAAI,iBAAiB,OAAO,GAAG;AACrE,SAAO,OAAO;AAAA;AAGhB,wBAA+B,SAAqC;AAjCpE;AAkCE,MAAI,KAAI;AAAS,WAAO,KAAK;AAC7B,MAAI,CAAC,OAAO,IAAI;AACd,WAAO,KAAK,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,QAAO,KAAK,aAAa;AACxF,UAAM,SAAS,OAAO,OAAO,OAAO,GAAG,eAAe;AACtD,eAAU,GAAG,KAAK,MAAM,QAAQ,UAAU,SAAS,OAAO,GAAG,YAAY,IAAI,GAAG,QAAQ;AACxF,eAAU,GAAG,KAAK,MAAM,QAAQ,UAAU,SAAS,OAAO,GAAG,YAAY,IAAI,GAAG,QAAQ;AACxF,QAAI,cAAO,KAAK,cAAZ,mBAAuB,SAAS;AAAS,oBAAc,CAAC,SAAS,uBAAuB,kBAAkB,YAAY;AAAA;AACrH,oBAAc,CAAC,YAAY,cAAc,cAAc,cAAc;AAC1E,QAAI,CAAC,OAAO,MAAM,CAAC,OAAO,GAAG;AAAa,UAAI,sBAAsB,QAAO,KAAK;AAAA,aACvE,QAAO;AAAO,UAAI,eAAe,OAAO,GAAG;AAAA,aAC3C,QAAO;AAAO,QAAI,iBAAiB,OAAO,GAAG;AACxD,SAAO,OAAO;AAAA;AAShB,wBAAwB,WAAgC,aAA2E;AACjI,QAAM,IAAI,UAAU,IAAI,CAAC,MAAM,EAAE,SAAS;AAC1C,QAAM,IAAI,UAAU,IAAI,CAAC,MAAM,EAAE,SAAS;AAC1C,QAAM,eAAoB,CAAC,KAAK,IAAI,GAAG,IAAI,KAAK,IAAI,GAAG,IAAI,KAAK,IAAI,GAAG,KAAK,KAAK,IAAI,GAAG,IAAI,KAAK,IAAI,GAAG,KAAK,KAAK,IAAI,GAAG;AACzH,QAAM,kBAAuB,CAAC,aAAa,KAAK,YAAW,IAAI,aAAa,KAAK,YAAW,IAAI,aAAa,KAAK,YAAW,IAAI,aAAa,KAAK,YAAW;AAC9J,SAAO,EAAE,cAAc;AAAA;AAGzB,4BAA4B,OAAgC;AAC1D,QAAM,IAA4B;AAClC,MAAI,CAAC,MAAM,SAAS,CAAC,MAAM,MAAM,MAAM,CAAC,MAAM,MAAM;AAAI,WAAO;AAC/D,YAAU;AAAA,IACR,CAAC,GAAG;AAAA,IACJ,CAAC,MAAM,MAAM,KAAK,MAAM,MAAM,KAAK,KAAK,MAAO,OAAM,MAAM,KAAK,MAAM,MAAM,MAAM,KAAK,GAAG,MAAM,MAAM,KAAK,MAAM,MAAM,KAAK,KAAK,MAAO,OAAM,MAAM,KAAK,MAAM,MAAM,MAAM,KAAK;AAAA,IAChL,CAAC,MAAM,MAAM,KAAK,MAAM,MAAM,KAAK,KAAK,MAAO,OAAM,MAAM,KAAK,MAAM,MAAM,MAAM,KAAK,GAAG,MAAM,MAAM,KAAK,MAAM,MAAM,KAAK,KAAK,MAAO,OAAM,MAAM,KAAK,MAAM,MAAM,MAAM,KAAK;AAAA,IAChL,CAAC,GAAG;AAAA;AAEN,IAAE,MAAM,AAAG,qBAAI,OAAO;AACtB,IAAE,SAAS,AAAG,uBAAM,eAAe,EAAE,KAAK,CAAC,WAAU,GAAG,IAAI,WAAU,GAAG;AACzE,QAAM,QAAQ,AAAG,qBAAI,EAAE,QAAQ;AAC/B,SAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAChD,SAAO;AAAA;AAGT,0BAA0B,WAAgC,aAAmD;AAC3G,aAAW,QAAO,WAAW;AAC3B,SAAI,WAAW;AAAA,MACb,KAAI,SAAS,KAAM,aAAW,KAAK,QAAQ,GAAG,KAAK,QAAQ,GAAG,MAAM,YAAW,KAAK,QAAQ,GAAG;AAAA,MAC/F,KAAI,SAAS,KAAM,aAAW,KAAK,QAAQ,GAAG,KAAK,QAAQ,GAAG,MAAM,YAAW,KAAK,QAAQ,GAAG;AAAA,MAC/F,KAAI,SAAS;AAAA;AAEf,SAAI,cAAc;AAAA,MAChB,KAAI,SAAS,KAAK,YAAW;AAAA,MAAI,KAAI,SAAS,KAAK,YAAW;AAAA,MAAI,KAAI,SAAS;AAAA;AAAA;AAGnF,SAAO;AAAA;AAGT,IAAM,WAAU,CAAC,MAAO,IAAK,IAAK,KAAI,KAAK,IAAI;AAE/C,2BAA2B,OAAe,SAAgB,aAA0D;AA9FpH;AA+FE,QAAM,IAA4B;AAClC,IAAE,QAAQ,MAAM,aAAa;AAQ7B,GAAC,EAAE,IAAqB,EAAE,cAA+B,EAAE,SAAyB,EAAE,OAAwB,EAAE,YAAqB,aAAO,OAAP,mBAAW,QAAQ,EAAE,OAAO;AACjK,QAAM,eAAgB,OAAM,EAAE,SAAS,QAAQ;AAC/C,QAAM,YAAY,KAAK,IAAI,GAAI,gBAAe,OAAQ,KAAI;AAC1D,QAAM,SAAS,MAAM,EAAE,GAAG;AAC1B,QAAM,oBAAyC;AAC/C,QAAM,QAAQ;AACd,WAAS,IAAI,GAAG,IAAI,OAAO,SAAS,OAAO,KAAK;AAC9C,UAAM,QAAQ,SAAQ,OAAO,QAAQ,IAAI;AACzC,UAAM,WAAW,SAAQ,OAAO,QAAQ,IAAI;AAC5C,UAAM,WAAW,KAAK,MAAM,MAAM,QAAQ,WAAW,aAAa;AAClE,UAAM,cAAqB,CAAC,OAAO,QAAQ,IAAI,KAAK,WAAU,GAAG,IAAI,OAAO,QAAQ,IAAI,KAAK,WAAU,GAAG,IAAI,OAAO,QAAQ,IAAI,KAAK;AACtI,UAAM,WAAkB,CAAC,KAAK,MAAM,YAAW,KAAK,YAAY,KAAK,KAAK,MAAM,YAAW,KAAK,YAAY,KAAK,YAAY;AAC7H,sBAAkB,KAAK,EAAE,MAAM,AAAO,IAAI,IAAI,aAAa,UAAU,OAAO;AAAA;AAE9E,MAAI,YAAa,SAAO,KAAK,iBAAiB;AAAI,WAAO;AACzD,QAAM,YAAiC,iBAAiB,mBAAmB;AAC3E,QAAM,QAAQ,eAAe,WAAW,CAAC,YAAW,IAAI,YAAW;AACnE,SAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAChD,QAAM,eAAyC;AAC/C,aAAW,CAAC,MAAM,YAAY,OAAO,QAAe,YAAY;AAC9D,UAAM,KAAqB;AAC3B,aAAS,IAAI,GAAG,IAAI,QAAQ,SAAS,GAAG,KAAK;AAC3C,YAAM,MAAM,UAAU,KAAK,CAAC,SAAQ,KAAI,SAAS,QAAQ;AACzD,YAAM,MAAM,UAAU,KAAK,CAAC,SAAQ,KAAI,SAAS,QAAQ,IAAI;AAC7D,UAAI,OAAO,OAAO,IAAI,QAAS,SAAO,KAAK,iBAAiB,MAAM,IAAI,QAAS,SAAO,KAAK,iBAAiB;AAAI,WAAG,KAAK,CAAC,IAAI,UAAU,IAAI;AAAA;AAE7I,iBAAY,QAAQ;AAAA;AAEtB,QAAM,QAAO,EAAE,IAAI,GAAG,OAAO,KAAK,MAAM,MAAM,aAAa,KAAK,KAAK,MAAM,cAAc,QAAQ,MAAM,iBAAiB,WAAW;AACnI,SAAO;AAAA;AAGT,wBAA8B,OAAe,SAAuC;AAClF,QAAM,cAA+B,CAAC,MAAM,MAAM,MAAM,GAAG,MAAM,MAAM,MAAM;AAC7E,QAAM,WAAY,SAAO,KAAK,YAAY,KAAM,QAAQ;AACxD,QAAM,YAAY,WAAW,SAAO,KAAK,cAAc;AACvD,MAAI,QAAO,eAAe,YAAY,aAAa,UAAU,MAAM;AACjE;AAAA,SACK;AACL,YAAQ,MAAM,YAAY,OAAO,SAAQ;AACzC,gBAAW;AACX,eAAU;AAAA;AAEZ,MAAI;AAAO,WAAO,CAAC;AACnB,SAAO;AAAA;;;ACjJF,IAAM,SAAS;AAAA,EACpB,EAAE,OAAO,GAAG,OAAO;AAAA,EACnB,EAAE,OAAO,GAAG,OAAO;AAAA,EACnB,EAAE,OAAO,GAAG,OAAO;AAAA,EACnB,EAAE,OAAO,GAAG,OAAO;AAAA,EACnB,EAAE,OAAO,GAAG,OAAO;AAAA,EACnB,EAAE,OAAO,GAAG,OAAO;AAAA,EACnB,EAAE,OAAO,GAAG,OAAO;AAAA,EACnB,EAAE,OAAO,GAAG,OAAO;AAAA,EACnB,EAAE,OAAO,GAAG,OAAO;AAAA,EACnB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA;;;ACrEtB,IAAI;AACJ,IAAI,aAAY;AAChB,IAAI,QAAuB;AAC3B,IAAI,YAAW;AACf,IAAI,WAAU,OAAO;AAErB,qBAA2B,SAAqC;AAC9D,MAAI,IAAI;AAAS,aAAQ;AACzB,MAAI,CAAC,QAAO;AAEV,aAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,QAAO,OAAO,aAAa;AACtF,UAAM,SAAS,OAAO,OAAO,OAAM,eAAe;AAClD,iBAAY,MAAM,QAAQ,UAAU,SAAS,OAAO,GAAG,YAAY,IAAI,GAAG,QAAQ;AAClF,QAAI,CAAC,UAAS,CAAC,OAAM;AAAa,UAAI,sBAAsB,QAAO,OAAO;AAAA,aACjE,QAAO;AAAO,UAAI,eAAe,OAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,OAAM;AACpD,SAAO;AAAA;AAGT,wBAAuB,KAAoB,aAAa,SAAgB;AACtE,MAAI,CAAC;AAAK,WAAO;AACjB,QAAM,UAA+B;AACrC,QAAM,aAAa,MAAM,IAAI;AAC7B,QAAM,WAAW,AAAG,yBAAQ;AAC5B,EAAG,yBAAQ;AACX,QAAM,MAAM,AAAG,uBAAM,UAAU,GAAG;AAClC,EAAG,yBAAQ;AACX,QAAM,SAAS,AAAG,uBAAM,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,KAAK;AAC1D,QAAM,SAAS,AAAG,yBAAQ;AAC1B,EAAG,yBAAQ;AACX,QAAM,UAAU,AAAG,yBAAQ,IAAI;AAC/B,QAAM,WAAW,AAAG,yBAAQ,IAAI;AAChC,MAAI,QAAQ,CAAC,MAAM,AAAG,yBAAQ;AAC9B,QAAM,OAAO,MAAM,AAAG,uBAAM,uBAAuB,QAAQ,SAAS,QAAO,OAAO,aAAa,QAAO,OAAO,cAAc,QAAO,OAAO;AACzI,EAAG,yBAAQ;AACX,EAAG,yBAAQ;AACX,EAAG,yBAAQ;AACX,QAAM,MAAM,MAAM,KAAK;AACvB,EAAG,yBAAQ;AACX,MAAI,IAAI;AACR,aAAW,MAAM,KAAK;AACpB,UAAM,QAAQ,KAAK,MAAM,MAAM,WAAW,GAAG,IAAI,MAAM;AACvD,UAAM,WAAW,WAAW,GAAG,IAAI;AACnC,UAAM,QAAQ,OAAO,UAAU;AAC/B,UAAM,CAAC,GAAG,KAAK;AAAA,MACb,WAAW,GAAG,IAAI,KAAK;AAAA,MACvB,WAAW,GAAG,IAAI,KAAK;AAAA;AAEzB,UAAM,SAAc;AAAA,MAClB;AAAA,MACA;AAAA,MACA,WAAW,GAAG,IAAI,KAAK,aAAY;AAAA,MACnC,WAAW,GAAG,IAAI,KAAK,aAAY;AAAA;AAErC,UAAM,OAAW;AAAA,MACf,KAAK,MAAM,OAAO,KAAK,YAAY;AAAA,MACnC,KAAK,MAAM,OAAO,KAAK,YAAY;AAAA,MACnC,KAAK,MAAM,OAAO,KAAK,YAAY;AAAA,MACnC,KAAK,MAAM,OAAO,KAAK,YAAY;AAAA;AAErC,YAAQ,KAAK,EAAE,IAAI,KAAK,OAAO,OAAO,UAAU,OAAO,WAAK;AAAA;AAE9D,SAAO;AAAA;AAGT,wBAA8B,OAAe,SAAyC;AACpF,QAAM,WAAY,SAAO,OAAO,YAAY,KAAM,QAAQ;AAC1D,QAAM,YAAY,WAAW,SAAO,OAAO,cAAc;AACzD,MAAI,QAAO,eAAe,YAAY,aAAc,MAAK,SAAS,GAAI;AACpE;AACA,WAAO;AAAA;AAET,aAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAM,cAAa,CAAC,MAAM,MAAM,IAAI,MAAM,MAAM;AAChD,UAAM,SAAS,AAAG,uBAAM,eAAe,OAAO,CAAC,YAAW;AAC1D,UAAM,UAAU,QAAO,OAAO,UAAU,iCAAO,QAAQ,QAAQ,CAAC,yBAAmC;AACnG,gBAAW;AACX,IAAG,yBAAQ;AAEX,UAAM,MAAM,MAAM,SAAQ,SAAS,aAAY;AAC/C,YAAO;AAEP,YAAQ;AAAA;AAAA;;;ACjGZ;AAAA;AAAA;AAAA;AAAA;AAAO,IAAM,OAAqB;AAAA,EAChC;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;AAGK,IAAM,aAAsC;AAAA,EACjD,SAAS,CAAC,WAAW,YAAY;AAAA,EACjC,UAAU,CAAC,YAAY,aAAa;AAAA,EACpC,OAAO,CAAC,gBAAgB,iBAAiB,YAAY,WAAW;AAAA,EAChE,SAAS,CAAC,gBAAgB,aAAa;AAAA,EACvC,UAAU,CAAC,iBAAiB,cAAc;AAAA,EAC1C,MAAM;AAAA;;;ACXR,IAAI;AACJ,IAAI,YAAW;AACf,IAAM,SAAoB,EAAE,IAAI,GAAG,WAAW,IAAI,KAAK,CAAC,GAAG,GAAG,GAAG,IAAI,QAAQ,CAAC,GAAG,GAAG,GAAG,IAAI,OAAO,GAAG,aAAa;AAMlH,IAAI,WAAU,OAAO;AAErB,qBAA2B,SAAqC;AAC9D,MAAI,IAAI;AAAS,aAAQ;AACzB,MAAI,CAAC,QAAO;AACV,aAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,QAAO,KAAK,aAAa;AACpF,QAAI,CAAC,UAAS,CAAC,OAAM;AAAa,UAAI,sBAAsB,QAAO,KAAK;AAAA,aAC/D,QAAO;AAAO,UAAI,eAAe,OAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,OAAM;AACpD,SAAO;AAAA;AAIT,eAAe,QAAQ,UAAU;AAC/B,QAAM,CAAC,OAAO,UAAU,OAAO;AAC/B,SAAO,AAAG,sBAAK,MAAM;AACnB,UAAM,WAAW,AAAG,yBAAQ,QAAQ,CAAC,SAAS;AAC9C,UAAM,WAAW,AAAG,qBAAI,UAAU,GAAG,WAAW;AAChD,QAAI,WAAW,UAAU;AACvB,YAAM,cAAc,AAAG,wBAAO,UAAU;AACxC,YAAM,IAAI,AAAG,qBAAI,aAAa,OAAO,WAAW;AAChD,YAAM,IAAI,AAAG,qBAAI,aAAa,AAAG,wBAAO,OAAO,UAAU,WAAW;AACpE,aAAO,CAAC,GAAG,GAAG;AAAA;AAEhB,WAAO,CAAC,GAAG,GAAG;AAAA;AAAA;AAIlB,wBAA8B,SAAe,SAAuC;AAClF,QAAM,WAAY,SAAO,KAAK,YAAY,KAAM,QAAQ;AACxD,QAAM,YAAY,WAAW,SAAO,KAAK,cAAc;AACvD,MAAI,QAAO,eAAe,YAAY,aAAa,OAAO,KAAK,OAAM,WAAW,SAAS,GAAG;AAC1F;AACA,WAAO,CAAC;AAAA;AAEV,aAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AA1DxC;AA2DI,UAAM,UAAS,AAAG,sBAAK,MAAM;AAC3B,UAAI,CAAC,kCAAO,OAAO,GAAG;AAAO,eAAO;AACpC,YAAM,SAAS,AAAG,uBAAM,eAAe,SAAO,CAAC,OAAM,OAAO,GAAG,MAAM,IAAI,OAAM,OAAO,GAAG,MAAM,KAAK;AACpG,YAAM,WAAU,AAAG,qBAAI,QAAQ;AAC/B,YAAM,OAAO,SAAQ,IAAI;AACzB,aAAO;AAAA;AAGT,QAAI;AACJ,QAAI,QAAO,KAAK;AAAS,aAAO,iCAAO,QAAQ;AAC/C,gBAAW;AACX,IAAG,yBAAQ;AAEX,QAAI,MAAM;AACR,aAAM,UAAU,SAAS;AACzB,YAAM,WAAU,KAAK;AACrB,MAAG,yBAAQ;AAEX,YAAM,SAAQ,SAAQ,QAAQ;AAC9B,MAAG,yBAAQ;AAEX,eAAS,KAAK,GAAG,KAAK,OAAM,QAAQ,MAAM;AAExC,cAAM,CAAC,IAAG,IAAG,aAAa,MAAM,OAAM,KAAK,QAAO,KAAK;AACvD,YAAI,YAAa,gBAAO,SAAP,mBAAa,kBAAiB,IAAI;AACjD,iBAAM,UAAU,KAAK;AAAA,YACnB,OAAO,KAAK,MAAM,MAAM,aAAa;AAAA,YACrC,MAAM,AAAO,KAAI;AAAA,YACjB,aAAa;AAAA,cAEX,KAAI,OAAM,OAAO,GAAG,MAAM;AAAA,cAAI,KAAI,OAAM,OAAO,GAAG,MAAM;AAAA;AAAA,YAE1D,UAAU;AAAA,cAER,KAAK,MAAM,QAAM,MAAM,KAAK,KAAI,OAAM,OAAO,GAAG,MAAM;AAAA,cAAK,KAAK,MAAM,QAAM,MAAM,KAAK,KAAI,OAAM,OAAO,GAAG,MAAM;AAAA;AAAA;AAAA;AAAA;AAKzH,aAAM,QAAQ,CAAC,MAAM,AAAG,yBAAQ;AAAA;AAElC,WAAM,QAAQ,OAAM,UAAU,OAAO,CAAC,MAAM,SAAU,KAAK,QAAQ,OAAO,KAAK,QAAQ,MAAO;AAC9F,UAAM,IAAI,OAAM,UAAU,IAAI,CAAC,MAAM,EAAE,SAAS;AAChD,UAAM,IAAI,OAAM,UAAU,IAAI,CAAC,MAAM,EAAE,SAAS;AAChD,WAAM,MAAM;AAAA,MACV,KAAK,IAAI,GAAG;AAAA,MACZ,KAAK,IAAI,GAAG;AAAA,MACZ,KAAK,IAAI,GAAG,KAAK,KAAK,IAAI,GAAG;AAAA,MAC7B,KAAK,IAAI,GAAG,KAAK,KAAK,IAAI,GAAG;AAAA;AAE/B,UAAM,OAAO,OAAM,UAAU,IAAI,CAAC,MAAM,EAAE,YAAY;AACtD,UAAM,OAAO,OAAM,UAAU,IAAI,CAAC,MAAM,EAAE,YAAY;AACtD,WAAM,SAAS;AAAA,MACb,KAAK,IAAI,GAAG;AAAA,MACZ,KAAK,IAAI,GAAG;AAAA,MACZ,KAAK,IAAI,GAAG,QAAQ,KAAK,IAAI,GAAG;AAAA,MAChC,KAAK,IAAI,GAAG,QAAQ,KAAK,IAAI,GAAG;AAAA;AAElC,eAAW,CAAC,MAAM,YAAY,OAAO,QAAe,aAAY;AAC9D,YAAM,KAAqB;AAC3B,eAAS,IAAI,GAAG,IAAI,QAAQ,SAAS,GAAG,KAAK;AAC3C,cAAM,MAAM,OAAM,UAAU,KAAK,CAAC,SAAQ,KAAI,SAAS,QAAQ;AAC/D,cAAM,MAAM,OAAM,UAAU,KAAK,CAAC,SAAQ,KAAI,SAAS,QAAQ,IAAI;AACnE,YAAI,OAAO,OAAO,IAAI,QAAS,SAAO,KAAK,iBAAiB,MAAM,IAAI,QAAS,SAAO,KAAK,iBAAiB;AAAI,aAAG,KAAK,CAAC,IAAI,UAAU,IAAI;AAAA;AAE7I,aAAM,YAAY,QAAQ;AAAA;AAE5B,YAAQ,CAAC;AAAA;AAAA;;;AClHb,IAAM,cAAc,CAAC,SAAS,WAAW,QAAQ,SAAS,OAAO,YAAY;AAC7E,IAAI;AAEJ,IAAM,QAAyD;AAC/D,IAAI,aAAY;AAChB,IAAI,YAAW;AACf,IAAI,WAAU,OAAO;AAGrB,IAAM,MAAM,CAAC,QAAQ,OAAQ;AAE7B,qBAA2B,SAAqC;AAvBhE;AAwBE,MAAI,IAAI;AAAS,aAAQ;AACzB,MAAI,CAAC,QAAO;AACV,aAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,eAAO,KAAK,YAAZ,mBAAqB,cAAa;AAC7F,QAAI,CAAC,UAAS,CAAC,OAAM;AAAa,UAAI,sBAAsB,cAAO,KAAK,YAAZ,mBAAqB;AAAA,aACxE,QAAO;AAAO,UAAI,eAAe,OAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,OAAM;AACpD,SAAO;AAAA;AAGT,wBAA8B,SAAe,SAAgB,KAAK,QAAO;AAjCzE;AAkCE,MAAI,CAAC;AAAO,WAAO;AACnB,QAAM,YAAY,WAAW,gBAAO,KAAK,YAAZ,mBAAqB,eAAc;AAChE,QAAM,WAAY,gBAAO,KAAK,YAAZ,mBAAqB,aAAY,KAAM,QAAQ;AACjE,MAAI,QAAO,eAAe,YAAY,aAAc,eAAc,UAAU,MAAK,QAAS,MAAK,KAAK,SAAS,GAAI;AAC/G;AACA,WAAO,MAAK;AAAA;AAEd,aAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AA1CxC;AA2CI,UAAM,MAAiD;AACvD,QAAI,eAAO,KAAK,YAAZ,oBAAqB,SAAS;AAChC,YAAM,IAA4B;AAClC,YAAM,aAAY,kCAAO,OAAO,GAAG,SAAQ,OAAM,OAAO,GAAG,MAAM,KAAK;AACtE,QAAE,SAAS,AAAG,uBAAM,eAAe,SAAO,CAAC,YAAW,aAAY;AAGlE,OAAC,EAAE,KAAK,EAAE,OAAO,EAAE,QAAQ,AAAG,uBAAM,EAAE,QAAQ,GAAG;AAEjD,QAAE,UAAU,AAAG,qBAAI,EAAE,KAAK,IAAI;AAC9B,QAAE,YAAY,AAAG,qBAAI,EAAE,OAAO,IAAI;AAClC,QAAE,WAAW,AAAG,qBAAI,EAAE,MAAM,IAAI;AAChC,QAAE,YAAY,AAAG,sBAAK,CAAC,EAAE,SAAS,EAAE,WAAW,EAAE;AACjD,QAAE,eAAe,AAAG,qBAAI,EAAE,WAAW;AACrC,QAAE,eAAe,AAAG,qBAAI,EAAE,cAAc;AACxC,QAAE,UAAU,iCAAO,QAAQ,EAAE;AAC7B,kBAAW;AACX,YAAM,OAAO,MAAM,EAAE,QAAQ;AAC7B,eAAS,IAAI,GAAG,IAAI,KAAK,QAAQ,KAAK;AACpC,YAAI,KAAK,KAAM,iBAAO,KAAK,YAAZ,oBAAqB,kBAAiB;AAAI,cAAI,KAAK,EAAE,OAAO,KAAK,IAAI,MAAM,KAAK,MAAM,MAAM,KAAK,MAAM,MAAM,SAAS,YAAY;AAAA;AAEnJ,UAAI,KAAK,CAAC,GAAG,MAAM,EAAE,QAAQ,EAAE;AAC/B,aAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAAA;AAElD,UAAK,OAAO;AACZ,iBAAY;AACZ,YAAQ;AAAA;AAAA;;;AC5DZ,IAAI;AACJ,IAAI,aAAY;AAEhB,IAAM,cAAc;AAEpB,IAAM,cAAc,AAAO,gBAAgB;AAC3C,IAAM,eAAe,AAAO,gBAAgB;AAE5C,IAAM,eAAe;AAAA,EACnB,YAAY,CAAC,YAAY,IAAI,YAAY,YAAY,SAAS;AAAA,EAC9D,aAAa,CAAC,aAAa,IAAI,aAAa,aAAa,SAAS;AAAA;AAGpE,IAAM,gBAAgB;AAAA,EACpB,aAAa;AAAA,EACb,aAAa;AAAA,EACb,OAAO;AAAA,EACP,gBAAgB;AAAA;AAGlB,qBAA2B,SAAqC;AA7BhE;AA8BE,MAAI,IAAI;AAAS,aAAQ;AACzB,MAAI,CAAC,QAAO;AACV,aAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,eAAO,KAAK,SAAZ,mBAAkB,cAAa;AAC1F,QAAI,CAAC,UAAS,CAAC,OAAM;AAAa,UAAI,sBAAsB,cAAO,KAAK,SAAZ,mBAAkB;AAAA,aACrE,QAAO;AAAO,UAAI,eAAe,OAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,OAAM;AACpD,eAAY,OAAM,OAAO,GAAG,QAAQ,OAAM,OAAO,GAAG,MAAM,KAAK;AAC/D,MAAI,eAAc;AAAI,iBAAY;AAClC,SAAO;AAAA;AAKT,+BAA+B,WAAW,WAAW,QAAQ,MAAM;AACjE,WAAS,IAAI,GAAG,IAAI,AAAO,yBAAyB,QAAQ,KAAK;AAC/D,UAAM,EAAE,KAAK,YAAY,AAAO,yBAAyB;AACzD,UAAM,kBAAkB,AAAO,gBAAgB,GAAG,SAAS;AAC3D,QAAI,CAAC,QAAQ,KAAK,SAAS,MAAM;AAC/B,eAAS,IAAI,GAAG,IAAI,QAAQ,QAAQ,KAAK;AACvC,cAAM,SAAQ,QAAQ;AACtB,kBAAU,gBAAgB,MAAM;AAAA,UAC9B,UAAU,QAAO;AAAA,UAAI,UAAU,QAAO;AAAA,UACrC,WAAU,QAAO,KAAK,UAAU,gBAAgB,IAAI,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAQ9D,IAAM,mCAAmC,CAAC,cAAc;AAC7D,QAAM,WAAW,UAAU,aAAa,WAAW,IAAI;AACvD,QAAM,YAAY,UAAU,aAAa,YAAY,IAAI;AACzD,SAAO,WAAW;AAAA;AAIb,IAAM,YAAY,CAAC,WAAW,OAAM,qBAAqB,qBAAqB,UAAU,OAAO,UAAU;AAC9G,QAAM,OAAM,AAAK,YAAY,AAAK,WAAW,AAAK,8BAA8B,CAAC,UAAU,sBAAsB,UAAU,wBAAwB;AACnJ,QAAM,UAAU,AAAK,WAAW;AAChC,MAAI,QAAO,AAAG,uBAAM,cAAc,OAAM,CAAC;AAAA,IACvC,KAAI,WAAW,KAAK;AAAA,IACpB,KAAI,WAAW,KAAK;AAAA,IAAU,KAAI,SAAS,KAAK;AAAA,IAChD,KAAI,SAAS,KAAK;AAAA,MAChB,CAAC,IAAI,CAAC,YAAW;AACrB,MAAI,QAAQ,IAAI,QAAQ,SAAS,kBAAkB;AACjD,UAAM,UAAU,AAAG,uBAAM,cAAc;AACvC,IAAG,yBAAQ;AACX,YAAO;AAAA;AAET,SAAO,EAAE,WAAK,SAAS;AAAA;AAIlB,IAAM,eAAe,CAAC,SAAS,QAAQ,YAAY,OAAO,UAAU;AACzE,QAAM,eAA6B;AACnC,WAAS,IAAI,GAAG,IAAI,cAAc,gBAAgB,KAAK;AACrD,UAAM,IAAI,QAAQ,IAAI;AACtB,UAAM,IAAI,QAAQ,IAAI,IAAI;AAC1B,UAAM,IAAI,QAAQ,IAAI,IAAI;AAC1B,iBAAa,KAAK;AAAA,MACf,QAAQ,IAAK,IAAI,aAAe,IAAI,cAAc,WAAW,KAAK,OAAO,WAAW;AAAA,MACpF,IAAI,aAAa,WAAW,KAAK,OAAO,WAAW;AAAA,MAAI;AAAA;AAAA;AAG5D,SAAO,EAAE,WAAW,cAAc,MAAM,aAAa,MAAM,cAAc;AAAA;AAKpE,IAAM,wBAAwB,CAAC,WAAW,YAAY,cAAc;AACzE,QAAM,eAAe,UAAU,AAAO,gBAAgB,GAAG,sBAAsB,cAAc,cAAc;AAC3G,QAAM,eAAe,UAAU,AAAO,gBAAgB,GAAG,sBAAsB,cAAc,cAAc;AAC3G,QAAM,WAAY,gBAAe,gBAAgB;AAEjD,SAAO,WAAW,IAAI,CAAC,OAAO,MAAM;AAClC,QAAI,IAAI;AACR,QAAI,MAAM,GAAG;AACX,UAAI;AAAA,eACK,MAAM,GAAG;AAClB,UAAI;AAAA;AAEN,WAAO,CAAC,MAAM,IAAI,MAAM,IAAI;AAAA;AAAA;AAIhC,2BAAkC,WAAW,OAAM,SAAQ,UAAU;AACnE,MAAI,CAAC,QAAO;AACV,QAAI,QAAO;AAAO,UAAI;AACtB,WAAO;AAAA;AAET,QAAM,EAAE,KAAK,YAAY,SAAS,gBAAgB,MAAM,gBAAgB,UAAU,WAAW,OAAM,aAAa,WAAW,IAAI,aAAa,WAAW,IAAI,UAAU;AACrK,QAAM,EAAE,KAAK,aAAa,SAAS,iBAAiB,MAAM,iBAAiB,UAAU,WAAW,OAAM,aAAa,YAAY,IAAI,aAAa,YAAY,IAAI,UAAU;AAC1K,QAAM,WAAW,AAAG,wBAAO,CAAC,aAAa;AACzC,EAAG,yBAAQ;AACX,EAAG,yBAAQ;AACX,QAAM,iBAAiB,OAAM,QAAQ;AACrC,EAAG,yBAAQ;AACX,QAAM,qBAAqB,MAAM,eAAe;AAChD,EAAG,yBAAQ;AACX,QAAM,cAAc,mBAAmB,MAAM,GAAG,cAAc,iBAAiB;AAC/E,QAAM,EAAE,WAAW,kBAAkB,MAAM,sBAAsB,aAAa,aAAa,YAAY,gBAAgB;AACvH,QAAM,eAAe,mBAAmB,MAAM,cAAc,iBAAiB;AAC7E,QAAM,EAAE,WAAW,mBAAmB,MAAM,uBAAuB,aAAa,cAAc,aAAa;AAC3G,QAAM,gCAAgC,iCAAiC;AACvE,MAAI,KAAK,IAAI,iCAAiC,IAAI;AAChD,0BAAsB,WAAW,kBAAkB,QAAQ;AAC3D,0BAAsB,WAAW,mBAAmB,SAAS;AAAA,aAGpD,gCAAgC,GAAG;AAC5C,0BAAsB,WAAW,kBAAkB,QAAQ,CAAC,aAAa;AAAA,SACpE;AACL,0BAAsB,WAAW,mBAAmB,SAAS,CAAC,aAAa;AAAA;AAE7E,QAAM,yBAAyB,sBAAsB,WAAW,mBAAmB;AACnF,QAAM,0BAA0B,sBAAsB,WAAW,oBAAoB;AACrF,QAAM,YAAY,UAAU,OAAO,wBAAwB,OAAO;AAClE,SAAO;AAAA;;;AC9HT,IAAI,WAA4B;AAChC,IAAI,SAA2B;AAC/B,IAAI,aAAY;AAChB,IAAI,WAAU,OAAO;AACrB,IAAI,YAAW;AACf,IAAM,cAAc;AAEpB,wBAA8B,OAAe,SAAuC;AA7BpF;AAgCE,QAAM,WAAY,gBAAO,KAAK,aAAZ,mBAAsB,aAAY,KAAM,QAAQ;AAClE,QAAM,YAAY,WAAW,gBAAO,KAAK,aAAZ,mBAAsB,eAAc;AACjE,MAAI,CAAC,QAAO,eAAe,CAAC,YAAY,CAAC,aAAa,SAAS,WAAW,GAAG;AAC3E,UAAM,gBAAgB,MAAM,AAAU,SAAS,OAAO;AACtD,gBAAW;AACX,eAAW;AACX,eAAW,YAAY,cAAc,OAAO;AAC1C,YAAM,OAAgB;AAAA,QACpB,YAAY,SAAS,IAAI;AAAA,QACzB,UAAU,SAAS,IAAI;AAAA,QACvB,WAAW,SAAS;AAAA,QACpB,YAAY,SAAS;AAAA;AAEvB,eAAS,KAAK,AAAK,YAAY,AAAK,WAAW,AAAK,oBAAoB,MAAK,cAAc,cAAc,KAAK,KAAK;AAAA;AAErH,eAAU;AAAA,SACL;AACL;AAAA;AAEF,QAAM,QAA2B;AACjC,QAAM,WAA4B;AAClC,MAAI,KAAK;AACT,WAAS,IAAI,GAAG,IAAI,SAAS,QAAQ,KAAK;AACxC,QAAI,OAAM,SAAS;AACnB,QAAI,QAAQ;AACZ,QAAI;AACJ,UAAM,QAAmB;AAAA,MACvB,IAAI;AAAA,MACJ,MAAM;AAAA,MACN,SAAS;AAAA,MACT,KAAK,CAAC,GAAG,GAAG,GAAG;AAAA,MACf,QAAQ,CAAC,GAAG,GAAG,GAAG;AAAA,MAClB,OAAO;AAAA,MACP,UAAU;AAAA,MACV,WAAW;AAAA,MACX,aAAa;AAAA;AAGf,KAAC,OAAO,gBAAgB,MAAK,UAAU,AAAK,oBAAoB,OAAyC,MAAK,OAAO;AACrH,QAAI,yCAAQ,WAAR,mBAAgB,cAAc;AAChC,YAAM,YAAY,MAAM,sBAAsB,MAAK;AACnD,MAAG,yBAAQ,MAAK;AAChB,YAAK,SAAS;AAAA;AAEhB,UAAK,WAAW,KAAK,MAAM,MAAM,KAAI,cAAc;AACnD,QAAI,CAAC,eAAO,KAAK,SAAZ,mBAAkB,UAAS;AAC9B,YAAK,MAAM,AAAK,cAAc,MAAK;AACnC,YAAK,SAAS,AAAK,UAAU,MAAK;AAClC,YAAK,QAAQ,MAAK;AAClB,YAAK,OAAO,KAAI,UAAU,IAAI,CAAC,OAAO;AAAA,QAClC,MAAI,WAAW,KAAK,KAAI,SAAS,MAAO,IAAM,MAAI,SAAS,KAAK,KAAI,WAAW,MAAM,GAAG,KAAK,AAAU;AAAA,QACvG,MAAI,WAAW,KAAK,KAAI,SAAS,MAAO,IAAM,MAAI,SAAS,KAAK,KAAI,WAAW,MAAM,GAAG,KAAK,AAAU;AAAA;AAE3G,YAAK,UAAU,MAAK,KAAK,IAAI,CAAC,OAAO,CAAC,GAAG,KAAM,OAAM,MAAM,MAAM,IAAI,GAAG,KAAM,OAAM,MAAM,MAAM,IAAK,IAAG,MAAM,KAAK;AACnH,iBAAW,OAAO,OAAO,KAAY;AAAqB,cAAK,YAAY,OAAO,CAAC,MAAK,KAAK,AAAO,mBAAmB;AAAA,eAC9G,CAAC,QAAO;AACjB,UAAI,QAAO;AAAO,YAAI;AAAA,WACjB;AACL,YAAM,CAAC,UAAU,YAAY,iBAAiB,OAAM,QAAQ,MAAK;AACjE,YAAM,iBAAiB,MAAM,WAAW;AACxC,YAAK,YAAY,KAAK,MAAM,MAAM,eAAe,MAAM;AACvD,YAAM,iBAAiB,AAAG,yBAAQ,eAAe,CAAC,IAAI;AACtD,UAAI,YAAY,MAAM,eAAe;AACrC,MAAG,yBAAQ,CAAC,eAAe,gBAAgB,YAAY;AACvD,UAAI,MAAK,YAAa,gBAAO,KAAK,aAAZ,mBAAsB,kBAAiB,IAAI;AAC/D,aAAI,aAAa,MAAK;AAAA,aACjB;AACL,YAAI,cAAO,KAAK,SAAZ,mBAAkB;AAAS,sBAAY,MAAM,AAAK,YAAY,WAAW,MAAK,QAAQ,SAAQ;AAClG,cAAK,OAAO,AAAK,mBAAmB,WAAW,MAAK,OAAO,gBAAgB;AAC3E,cAAK,UAAU,MAAK,KAAK,IAAI,CAAC,OAAO,CAAC,GAAG,KAAM,OAAM,MAAM,MAAM,IAAI,GAAG,KAAM,OAAM,MAAM,MAAM,IAAK,IAAG,MAAM,KAAK;AACnH,mBAAW,OAAO,OAAO,KAAY;AAAkB,gBAAK,YAAY,OAAO,AAAO,gBAAgB,KAAK,IAAI,CAAC,WAAU,MAAK,KAAK;AACpI,eAAM,AAAK,YAAY,KAAK,AAAK,WAAW,AAAK,8BAA8B,MAAK,OAAO,cAAc,YAAY,KAAI;AACzH,cAAK,MAAM,AAAK,cAAc,MAAK;AACnC,cAAK,SAAS,AAAK,UAAU,MAAK;AAClC,cAAK,QAAQ,MAAK;AAClB,iBAAS,KAAK;AACd,QAAG,yBAAQ,MAAK;AAChB,SAAC,OAAO,gBAAgB,MAAK,UAAU,AAAK,oBAAoB,cAAO,KAAK,aAAZ,mBAAsB,UAAU,MAAK,OAAO;AAAA;AAAA;AAGhH,UAAM,KAAK;AAAA;AAEb,aAAW,CAAC,GAAG;AACf,SAAO;AAAA;AAGT,qBAA2B,SAAqC;AAtHhE;AAuHE,MAAI,IAAI;AAAS,aAAQ;AACzB,MAAI,CAAC,QAAO;AACV,aAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,eAAO,KAAK,SAAZ,mBAAkB,cAAa;AAC1F,QAAI,CAAC,UAAS,CAAC,OAAM;AAAa,UAAI,sBAAsB,cAAO,KAAK,SAAZ,mBAAkB;AAAA,aACrE,QAAO;AAAO,UAAI,eAAe,OAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,OAAM;AACpD,eAAY,OAAM,OAAO,GAAG,QAAQ,OAAM,OAAO,GAAG,MAAM,KAAK;AAC/D,MAAI,eAAc;AAAI,iBAAY;AAClC,SAAO;AAAA;AAGF,IAAM,gBAAuB;AAC7B,IAAM,QAAe;;;ACpH5B,IAAI;AACJ,IAAM,QAKD;AAEL,IAAI,YAAW;AACf,IAAI,aAAY;AAChB,IAAI,WAAU,OAAO;AAErB,qBAA2B,SAAqC;AA3BhE;AA4BE,QAAM,WAAW,KAAK,QAAO,eAAe,eAAO,KAAK,gBAAZ,mBAAyB,cAAa;AAClF,MAAI,IAAI;AAAS,aAAQ;AACzB,MAAI,CAAC,QAAO;AACV,aAAQ,MAAM,AAAG,gCAAe;AAChC,QAAI,CAAC;AAAO,UAAI,sBAAsB,eAAO,KAAK,gBAAZ,mBAAyB,cAAa;AAAA,aACnE,QAAO;AAAO,UAAI,eAAe;AAAA,aACjC,QAAO;AAAO,QAAI,iBAAiB;AAC9C,SAAO;AAAA;AAGF,kBAAiB,OAAe;AACrC,QAAM,UAAU,MAAM,SAAS,MAAM,UAAU;AAC/C,MAAI,CAAC,kCAAO,OAAO,GAAG;AAAO,WAAO;AAEpC,QAAM,QAAO,AAAG,uBAAM,eAAe,SAAQ,CAAC,OAAM,OAAO,GAAG,MAAM,IAAI,OAAM,OAAO,GAAG,MAAM,KAAK;AACnG,QAAM,OAAO,AAAG,qBAAI,OAAM;AAC1B,EAAG,yBAAQ;AACX,SAAO;AAAA;AAwCT,wBAA8B,SAAe,SAAgB,KAAK,QAAO;AArFzE;AAsFE,MAAI,CAAC;AAAO,WAAO;AACnB,QAAM,YAAY,WAAW,gBAAO,KAAK,gBAAZ,mBAAyB,eAAc;AACpE,QAAM,WAAY,gBAAO,KAAK,gBAAZ,mBAAyB,aAAY,KAAM,QAAQ;AACrE,MAAI,QAAO,eAAe,aAAa,YAAa,eAAc,UAAU,aAAK,SAAL,mBAAW,QAAQ,aAAK,SAAL,mBAAW,OAAM,GAAI;AAClH;AACA,WAAO,MAAK;AAAA;AAEd,aAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AA9FxC;AA+FI,UAAM,MAAM;AAAA,MACV,KAAa;AAAA,MACb,QAAgB;AAAA,MAChB,aAAqB;AAAA,MACrB,YAAsB;AAAA;AAGxB,QAAI,eAAO,KAAK,gBAAZ,oBAAyB,SAAS;AACpC,YAAM,WAAW,SAAQ;AACzB,YAAM,OAAO,iCAAO,QAAQ;AAC5B,kBAAW;AACX,MAAG,yBAAQ;AACX,YAAM,UAAU,MAAM,KAAK,KAAK,CAAC,MAAM,EAAE,MAAM,OAAO;AACtD,YAAM,SAAS,MAAM,QAAQ;AAC7B,YAAM,aAAa,KAAK,MAAM,MAAM,KAAK,IAAK,OAAO,KAAK,QAAS;AACnE,UAAI,aAAc,iBAAO,KAAK,gBAAZ,oBAAyB,kBAAiB,IAAI;AAC9D,YAAI,SAAS,OAAO,MAAM,MAAM,WAAW;AAC3C,YAAI,cAAc,KAAK,IAAI,MAAM;AAAA;AAEnC,YAAM,SAAS,AAAG,wBAAO,KAAK,KAAK,CAAC,MAAM,EAAE,MAAM,OAAO,MAAM;AAC/D,YAAM,MAAO,OAAM,OAAO,QAAQ;AAClC,MAAG,yBAAQ;AACX,YAAM,OAAO,KAAK,KAAK,CAAC,MAAM,EAAE,MAAM,OAAO;AAC7C,YAAM,OAAM,MAAM,KAAK;AACvB,UAAI,MAAM,KAAK,MAAM,KAAI,MAAM,KAAK,KAAI,MAAM,KAAK,KAAK,MAAM,MAAM,KAAI,MAAM,KAAK,KAAK,MAAM,MAAM,KAAI,MAAM,MAAM;AAEpH,YAAM,OAAO,KAAK,KAAK,CAAC,MAAM,EAAE,MAAM,OAAO;AAG7C,YAAM,aAAa,OAAO,MAAM,KAAK,SAAmB;AACxD,UAAI,aAAa,MAAM,KAAK;AAC5B,WAAK,QAAQ,CAAC,MAAM,AAAG,yBAAQ;AAAA;AAEjC,UAAK,OAAO;AACZ,iBAAY;AACZ,YAAQ;AAAA;AAAA;;;AC/HL,qBAAoB,MAAK;AAC9B,SAAO;AAAA,IACL,KAAK,IAAI,KAAI,SAAS,KAAK,KAAI,WAAW;AAAA,IAC1C,KAAK,IAAI,KAAI,SAAS,KAAK,KAAI,WAAW;AAAA;AAAA;AAIvC,uBAAsB,MAAK;AAChC,SAAO;AAAA,IACL,KAAI,WAAW,KAAM,MAAI,SAAS,KAAK,KAAI,WAAW,MAAM;AAAA,IAC5D,KAAI,WAAW,KAAM,MAAI,SAAS,KAAK,KAAI,WAAW,MAAM;AAAA;AAAA;AAIzD,mCAAkC,MAAK,SAAO,UAAU;AAC7D,QAAM,IAAI,QAAM,MAAM;AACtB,QAAM,IAAI,QAAM,MAAM;AACtB,QAAM,QAAQ,CAAC;AAAA,IACb,KAAI,WAAW,KAAK;AAAA,IACpB,KAAI,WAAW,KAAK;AAAA,IACpB,KAAI,SAAS,KAAK;AAAA,IAClB,KAAI,SAAS,KAAK;AAAA;AAEpB,SAAO,AAAG,uBAAM,cAAc,SAAO,OAAO,CAAC,IAAI;AAAA;AAG5C,8BAA6B,MAAK,QAAQ;AAC/C,QAAM,aAAa,CAAC,KAAI,WAAW,KAAK,OAAO,IAAI,KAAI,WAAW,KAAK,OAAO;AAC9E,QAAM,WAAW,CAAC,KAAI,SAAS,KAAK,OAAO,IAAI,KAAI,SAAS,KAAK,OAAO;AACxE,QAAM,gBAAgB,KAAI,cAAc,IAAI,CAAC,UAAU;AACrD,UAAM,cAAc,CAAC,MAAM,KAAK,OAAO,IAAI,MAAM,KAAK,OAAO;AAC7D,WAAO;AAAA;AAET,SAAO,EAAE,YAAY,UAAU,eAAe,YAAY,KAAI;AAAA;AAGzD,qBAAoB,MAAK,SAAS,KAAK;AAC5C,QAAM,SAAS,cAAa;AAC5B,QAAM,QAAO,YAAW;AACxB,QAAM,cAAc,CAAC,SAAS,MAAK,KAAK,GAAG,SAAS,MAAK,KAAK;AAC9D,QAAM,aAAa,CAAC,OAAO,KAAK,YAAY,IAAI,OAAO,KAAK,YAAY;AACxE,QAAM,WAAW,CAAC,OAAO,KAAK,YAAY,IAAI,OAAO,KAAK,YAAY;AACtE,SAAO,EAAE,YAAY,UAAU,eAAe,KAAI;AAAA;AAG7C,sBAAqB,MAAK;AAC/B,QAAM,UAAU,cAAa;AAC7B,QAAM,QAAO,YAAW;AACxB,QAAM,UAAU,KAAK,IAAI,GAAG;AAC5B,QAAM,WAAW,UAAU;AAC3B,QAAM,aAAa,CAAC,QAAQ,KAAK,UAAU,QAAQ,KAAK;AACxD,QAAM,WAAW,CAAC,QAAQ,KAAK,UAAU,QAAQ,KAAK;AACtD,SAAO,EAAE,YAAY,UAAU,eAAe,KAAI;AAAA;AAc7C,2BAA0B,OAAO;AACtC,SAAO,QAAQ,IAAI,KAAK,KAAK,KAAK,MAAO,SAAQ,KAAK,MAAO,KAAI,KAAK;AAAA;AAGjE,0BAAyB,QAAQ,QAAQ;AAC9C,QAAM,UAAU,KAAK,KAAK,IAAI,KAAK,MAAM,CAAE,QAAO,KAAK,OAAO,KAAK,OAAO,KAAK,OAAO;AACtF,SAAO,kBAAiB;AAAA;AAGnB,IAAM,0BAAyB,CAAC,GAAG,MAAM,CAAC,CAAC,GAAG,GAAG,IAAI,CAAC,GAAG,GAAG,IAAI,CAAC,GAAG,GAAG;AAEvE,cAAa,IAAI,IAAI;AAC1B,MAAI,UAAU;AACd,WAAS,IAAI,GAAG,IAAI,GAAG,QAAQ,KAAK;AAClC,eAAW,GAAG,KAAK,GAAG;AAAA;AAExB,SAAO;AAAA;AAGF,6BAA4B,KAAK,aAAa;AACnD,QAAM,SAAwB;AAC9B,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AACnC,WAAO,KAAK,IAAI,GAAG;AAAA;AAErB,SAAO;AAAA;AAGF,oCAAmC,MAAM,MAAM;AACpD,QAAM,UAA2B;AACjC,QAAM,QAAO,KAAK;AAClB,WAAS,MAAM,GAAG,MAAM,OAAM,OAAO;AACnC,YAAQ,KAAK;AACb,aAAS,MAAM,GAAG,MAAM,OAAM,OAAO;AACnC,cAAQ,KAAK,KAAK,KAAI,KAAK,MAAM,oBAAmB,MAAM;AAAA;AAAA;AAG9D,SAAO;AAAA;AAGF,8BAA6B,UAAU,QAAQ;AACpD,QAAM,OAAO,KAAK,IAAI;AACtB,QAAM,OAAO,KAAK,IAAI;AACtB,QAAM,iBAAiB,CAAC,CAAC,MAAM,CAAC,MAAM,IAAI,CAAC,MAAM,MAAM,IAAI,CAAC,GAAG,GAAG;AAClE,QAAM,oBAAoB,wBAAuB,OAAO,IAAI,OAAO;AACnE,QAAM,2BAA2B,2BAA0B,mBAAmB;AAC9E,QAAM,4BAA4B,wBAAuB,CAAC,OAAO,IAAI,CAAC,OAAO;AAC7E,SAAO,2BAA0B,0BAA0B;AAAA;AAGtD,gCAA+B,QAAQ;AAC5C,QAAM,oBAAoB,CAAC,CAAC,OAAO,GAAG,IAAI,OAAO,GAAG,KAAK,CAAC,OAAO,GAAG,IAAI,OAAO,GAAG;AAClF,QAAM,uBAAuB,CAAC,OAAO,GAAG,IAAI,OAAO,GAAG;AACtD,QAAM,sBAAsB;AAAA,IAC1B,CAAC,KAAI,kBAAkB,IAAI;AAAA,IAC3B,CAAC,KAAI,kBAAkB,IAAI;AAAA;AAE7B,SAAO;AAAA,IACL,kBAAkB,GAAG,OAAO,oBAAoB;AAAA,IAChD,kBAAkB,GAAG,OAAO,oBAAoB;AAAA,IAChD,CAAC,GAAG,GAAG;AAAA;AAAA;AAIJ,sBAAqB,uBAAuB,gBAAgB;AACjE,SAAO;AAAA,IACL,KAAI,uBAAuB,eAAe;AAAA,IAC1C,KAAI,uBAAuB,eAAe;AAAA;AAAA;;;AClIvC,IAAM,WAAU;AAAA,EACrB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA;;;AC13FX,yBAAmB;AAAA,EAQxB,YAAY,SAAO;AAPnB;AACA;AACA;AACA;AACA;AACA;AAGE,SAAK,QAAQ;AACb,SAAK,UAAU,AAAQ,SAAQ,IAAI,CAAC,WAAW,CAAC,OAAO,GAAG,OAAO;AACjE,SAAK,gBAAgB,AAAG,0BAAS,KAAK;AACtC,SAAK,YAAa,KAAK,SAAS,KAAK,MAAM,UAAU,KAAK,MAAM,OAAO,GAAG,QAAS,KAAK,MAAM,OAAO,GAAG,MAAM,KAAK;AACnH,SAAK,kBAAkB,AAAG,0BAAS,CAAC,KAAK,WAAW,KAAK;AACzD,SAAK,wBAAwB,AAAG,0BAAS,CAAC,KAAK,YAAY,GAAG,KAAK,YAAY;AAAA;AAAA,EAGjF,eAAe,OAAO;AACpB,UAAM,IAA4B;AAClC,MAAE,aAAa,AAAG,uBAAM,OAAO,CAAC,GAAG,IAAI,CAAC,IAAI;AAC5C,MAAE,WAAW,AAAG,uBAAM,OAAO,CAAC,GAAG,IAAI,CAAC,IAAI;AAC1C,MAAE,MAAM,AAAG,qBAAI,EAAE,YAAY,KAAK;AAClC,MAAE,kBAAkB,AAAG,qBAAI,EAAE,KAAK,KAAK;AACvC,MAAE,eAAe,AAAG,qBAAI,EAAE,UAAU,KAAK;AACzC,MAAE,MAAM,AAAG,qBAAI,EAAE,iBAAiB,EAAE;AACpC,MAAE,cAAc,AAAG,qBAAI,EAAE,KAAK,KAAK;AACnC,MAAE,MAAM,AAAG,qBAAI,EAAE,iBAAiB,EAAE;AACpC,MAAE,YAAY,AAAG,qBAAI,EAAE,KAAK,KAAK;AACjC,UAAM,MAAM,AAAG,0BAAS,CAAC,EAAE,aAAa,EAAE,YAAY;AACtD,WAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAChD,WAAO;AAAA;AAAA,EAGT,mBAAmB,kBAAkB,QAAO;AAC1C,UAAM,IAA4B;AAClC,MAAE,UAAU,AAAG,yBAAQ,kBAAkB,CAAC,IAAI,GAAG;AACjD,MAAE,MAAM,AAAG,qBAAI,EAAE,SAAS,KAAK;AAC/B,MAAE,YAAY,AAAG,qBAAI,EAAE,KAAK,KAAK,QAAQ;AACzC,UAAM,MAAM,AAAG,qBAAI,EAAE,WAAW,KAAK;AACrC,WAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAChD,WAAO;AAAA;AAAA,QAGH,QAAQ,OAAO,SAAuG;AAC1H,UAAM,IAA4B;AAClC,MAAE,SAAS,AAAG,uBAAM,eAAe,OAAO,CAAC,KAAK,WAAW,KAAK;AAChE,MAAE,MAAM,AAAG,qBAAI,EAAE,QAAQ;AACzB,MAAE,QAAQ,AAAG,qBAAI,EAAE,KAAK;AACxB,MAAE,UAAU,KAAK,MAAM,QAAQ,EAAE;AACjC,MAAE,cAAc,AAAG,yBAAQ,EAAE;AAC7B,MAAE,QAAQ,AAAG,uBAAM,EAAE,aAAa,CAAC,GAAG,IAAI,CAAC,IAAI;AAC/C,MAAE,UAAU,AAAG,yBAAQ,EAAE;AACzB,MAAE,SAAS,AAAG,yBAAQ,EAAE;AACxB,UAAM,SAAS,MAAM,EAAE,OAAO;AAC9B,MAAE,QAAQ,AAAG,uBAAM,EAAE,aAAa,CAAC,GAAG,IAAI,CAAC,IAAI;AAC/C,MAAE,OAAO,KAAK,eAAe,EAAE;AAE/B,MAAE,MAAM,MAAM,AAAG,uBAAM,uBAAuB,EAAE,MAAM,EAAE,QAAQ,IAAI,QAAO,KAAK,aAAa,QAAO,KAAK,cAAc,QAAO,KAAK;AACnI,UAAM,MAAM,MAAM,EAAE,IAAI;AACxB,UAAM,QAAmG;AACzG,eAAW,UAAS,KAAK;AACvB,YAAM,IAA4B;AAClC,QAAE,MAAM,AAAG,uBAAM,EAAE,MAAM,CAAC,QAAO,IAAI,CAAC,GAAG;AACzC,QAAE,QAAQ,AAAG,uBAAM,EAAE,aAAa,CAAC,QAAO,IAAI,CAAC,GAAG;AAClD,QAAE,OAAO,KAAK,mBAAmB,EAAE,OAAO;AAC1C,QAAE,gBAAgB,AAAG,yBAAQ,EAAE,MAAM,CAAC,IAAI;AAC1C,YAAM,OAAM,MAAM,EAAE,IAAI;AACxB,YAAM,aAAa,KAAI,MAAM,GAAG;AAChC,YAAM,WAAW,KAAI,MAAM,GAAG;AAC9B,YAAM,gBAAgB,MAAM,EAAE,cAAc;AAC5C,YAAM,QAAO,EAAE,YAAY,UAAU,eAAe,YAAY,OAAO;AACvE,YAAM,SAAS,AAAK,qBAAoB,OAAM,CAAC,MAAM,MAAM,KAAK,KAAK,WAAW,MAAM,MAAM,KAAK,KAAK;AACtG,YAAM,KAAK;AACX,aAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAAA;AAElD,WAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAChD,WAAO;AAAA;AAAA;;;AC1EX,IAAM,uBAAuB;AAC7B,IAAM,uBAAuB;AAC7B,IAAM,kBAAkB,CAAC,GAAG,GAAG,GAAG,IAAI,IAAI,GAAG;AAC7C,IAAM,wBAAwB;AAC9B,IAAM,gCAAgC;AACtC,IAAI,YAAW;AAER,yBAAmB;AAAA,EAQxB,YAAY,cAAc,gBAAe;AAPzC;AACA;AACA;AACA;AACA;AACA;AAGE,SAAK,eAAe;AACpB,SAAK,gBAAgB;AACrB,SAAK,YAAY,KAAK,iBAAiB,KAAK,cAAc,OAAO,GAAG,QAAQ,KAAK,cAAc,OAAO,GAAG,MAAM,KAAK;AACpH,SAAK,cAAc;AACnB,SAAK,UAAU,OAAO;AACtB,SAAK,gBAAgB;AAAA;AAAA,EAIvB,8BAA8B,WAAW;AACvC,UAAM,KAAK,UAAU,IAAI,CAAC,MAAM,EAAE;AAClC,UAAM,KAAK,UAAU,IAAI,CAAC,MAAM,EAAE;AAClC,UAAM,aAAa,CAAC,KAAK,IAAI,GAAG,KAAK,KAAK,IAAI,GAAG;AACjD,UAAM,WAAW,CAAC,KAAK,IAAI,GAAG,KAAK,KAAK,IAAI,GAAG;AAC/C,WAAO,EAAE,YAAY;AAAA;AAAA,EAGvB,uBAAuB,eAAe,gBAAgB;AACpD,UAAM,uBAAuB,cAAc,IAAI,CAAC,UAAU,AAAK,aAAY,CAAC,GAAG,OAAO,IAAI;AAC1F,UAAM,gBAAgB,KAAK,8BAA8B;AACzD,WAAO,AAAK,YAAW,AAAK,aAAY,gBAAgB;AAAA;AAAA,EAG1D,uBAAuB,WAAW;AAChC,UAAM,cAAc,KAAK,8BAA8B;AACvD,UAAM,gBAAgB,AAAK,YAAW,AAAK,aAAY,cAAc;AACrE,kBAAc,gBAAgB;AAC9B,aAAS,IAAI,GAAG,IAAI,gBAAgB,QAAQ,KAAK;AAC/C,oBAAc,cAAc,KAAK,UAAU,gBAAgB,IAAI,MAAM,GAAG;AAAA;AAE1E,WAAO;AAAA;AAAA,EAGT,mBAAmB,WAAW,OAAM,OAAO,gBAAgB;AACzD,UAAM,UAAU,AAAK,YAAW;AAChC,UAAM,cAAc,CAAC,QAAQ,KAAK,KAAK,WAAW,QAAQ,KAAK,KAAK,WAAY,SAAQ,KAAK,QAAQ,MAAM,KAAK,YAAY;AAC5H,UAAM,eAAe,UAAU,IAAI,CAAC,UAAU;AAAA,MAC5C,YAAY,KAAM,OAAM,KAAK,KAAK,YAAY;AAAA,MAC9C,YAAY,KAAM,OAAM,KAAK,KAAK,YAAY;AAAA,MAC9C,YAAY,KAAK,MAAM;AAAA;AAEzB,UAAM,uBAAuB,AAAK,qBAAoB,OAAO,CAAC,GAAG;AACjE,UAAM,gBAAgB,aAAa,IAAI,CAAC,UAAU;AAChD,YAAM,UAAU,AAAK,aAAY,OAAO;AACxC,aAAO,CAAC,GAAG,SAAS,MAAM;AAAA;AAE5B,UAAM,wBAAwB,AAAK,uBAAsB;AACzD,UAAM,YAAY,CAAC,GAAG,AAAK,cAAa,QAAO;AAC/C,UAAM,oBAAoB;AAAA,MACxB,AAAK,KAAI,WAAW,sBAAsB;AAAA,MAC1C,AAAK,KAAI,WAAW,sBAAsB;AAAA;AAE5C,WAAO,cAAc,IAAI,CAAC,UAAU;AAAA,MAClC,KAAK,MAAM,MAAM,KAAK,kBAAkB;AAAA,MACxC,KAAK,MAAM,MAAM,KAAK,kBAAkB;AAAA,MACxC,KAAK,MAAM,MAAM;AAAA;AAAA;AAAA,QAIf,cAAc,SAAO,SAAQ;AACjC,QAAI,cAAc;AAGlB,QAAI;AACJ,UAAM,WAAY,SAAO,KAAK,YAAY,KAAM,QAAQ;AACxD,UAAM,YAAY,KAAK,UAAW,SAAO,KAAK,cAAc;AAC5D,QAAI,QAAO,eAAe,YAAY,WAAW;AAC/C,cAAQ,MAAM,KAAK,aAAa,QAAQ,SAAO;AAC/C,WAAK,UAAU;AAAA;AAEjB,QAAI,QAAO;AAAa,WAAK;AAG7B,QAAI,SAAU,MAAM,SAAS,KAAQ,OAAM,WAAW,KAAK,iBAAmB,KAAK,kBAAkB,QAAO,KAAK,eAAgB,CAAC,QAAO,KAAK,YAAY;AACxJ,WAAK,gBAAgB;AACrB,WAAK,cAAc,CAAC,GAAG;AAEvB,UAAI,KAAK,YAAY,SAAS;AAAG,sBAAc;AAAA;AAEjD,UAAM,QAAyJ;AAG/J,aAAS,IAAI,GAAG,IAAI,KAAK,YAAY,QAAQ,KAAK;AAChD,YAAM,aAAa,KAAK,YAAY;AACpC,UAAI,CAAC;AAAY;AACjB,UAAI,QAAO,KAAK,WAAW;AACzB,cAAM,QAAQ,QAAO,KAAK,WAAW,AAAK,iBAAgB,WAAW,cAAc,wBAAwB,WAAW,cAAc,kCAAkC;AACtK,cAAM,aAAa,AAAK,cAAa;AACrC,cAAM,uBAAuB,CAAC,WAAW,KAAK,QAAM,MAAM,IAAI,WAAW,KAAK,QAAM,MAAM;AAC1F,cAAM,eAAe,QAAO,KAAK,YAAY,IAAI,QAAQ,SAAS,sBAAsB,AAAG,uBAAM,iBAAiB,SAAO,OAAO,GAAG,wBAAwB,QAAM;AACjK,cAAM,iBAAiB,AAAK,qBAAoB,CAAC,OAAO;AACxD,cAAM,SAAS,cAAc,KAAK,uBAAuB,WAAW,eAAe,kBAAkB;AACrG,cAAM,eAAe,AAAK,0BAAyB,QAAQ,cAAc,CAAC,KAAK,WAAW,KAAK;AAC/F,cAAM,YAAY,AAAG,qBAAI,cAAc;AACvC,QAAG,yBAAQ;AACX,QAAG,yBAAQ;AACX,cAAM,CAAC,aAAa,aAAa,KAAK,cAAc,QAAQ;AAC5D,oBAAW;AACX,QAAG,yBAAQ;AACX,cAAM,aAAc,OAAM,YAAY,QAAQ;AAC9C,QAAG,yBAAQ;AACX,YAAI,cAAc,QAAO,KAAK,gBAAgB,GAAG;AAC/C,gBAAM,oBAAoB,AAAG,yBAAQ,WAAW,CAAC,IAAI;AACrD,gBAAM,YAAY,MAAM,kBAAkB;AAC1C,UAAG,yBAAQ;AACX,UAAG,yBAAQ;AACX,gBAAM,UAAS,KAAK,mBAAmB,WAAW,QAAQ,OAAO;AACjE,gBAAM,kBAAkB,KAAK,uBAAuB;AACpD,eAAK,YAAY,KAAK,KAAK,iBAAiB;AAC5C,gBAAM,SAAS;AAAA,YACb,WAAW;AAAA,YACX;AAAA,YACA,eAAe,WAAW;AAAA,YAC1B,kBAAkB;AAAA,YAClB,KAAK,EAAE,SAAS,gBAAgB,YAAY,aAAa,gBAAgB;AAAA;AAE3E,gBAAM,KAAK;AAAA,eACN;AACL,eAAK,YAAY,KAAK;AAAA;AAExB,QAAG,yBAAQ;AAAA,aACN;AAEL,cAAM,WAAW,AAAK,YAAW,AAAK,aAAY,aAAa;AAC/D,cAAM,SAAS;AAAA,UACb,YAAY,WAAW;AAAA,UACvB,eAAe,WAAW;AAAA,UAC1B,kBAAkB;AAAA,UAClB,KAAK,EAAE,SAAS,SAAS,YAAY,aAAa,SAAS;AAAA,UAC3D,WAAW;AAAA;AAEb,cAAM,KAAK;AAAA;AAAA;AAGf,SAAK,cAAc,KAAK,YAAY,OAAO,CAAC,MAAM,MAAM;AACxD,SAAK,gBAAgB,MAAM;AAC3B,QAAI,MAAM,SAAS,QAAO,KAAK;AAAa,YAAM,SAAS,QAAO,KAAK;AACvE,WAAO;AAAA;AAAA;;;ACjKJ,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;AAAA,EAClB,aAAa,EAAE,GAAG,SAAS,GAAG,SAAS,GAAG,UAAU,GAAG,QAAQ,GAAG;AAAA,EAQlE,eAAe;AAAA,IACb,GAAG,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG;AAAA,IAChC,GAAG,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG;AAAA,IAChC,GAAG,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,KAAK,CAAC,IAAI,KAAK,CAAC,IAAI;AAAA,IACpC,GAAG,CAAC,CAAC,GAAG,KAAK,CAAC,IAAI,KAAK,CAAC,IAAI,KAAK,CAAC,IAAI;AAAA,IACtC,GAAG,CAAC,CAAC,GAAG,KAAK,CAAC,IAAI,KAAK,CAAC,IAAI,KAAK,CAAC,IAAI;AAAA;AAAA,EAExC,SAAS,CAAC,UAAU,OAAO,YAAY;AAAA,EACvC,WAAW,CAAC,UAAU,OAAO,cAAc;AAAA;AAGtC,IAAM,aAAa;AAAA,EACxB,MAAM;AAAA,EACN,MAAM;AAAA,EACN,MAAM;AAAA,EACN,aAAa,EAAE,GAAG,QAAQ,GAAG,QAAQ,GAAG;AAAA,EACxC,SAAS,CAAC,UAAU,WAAW,YAAY;AAAA;AAGtC,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;AAAA,EACpK,SAAS,CAAC,UAAU,gBAAgB,YAAY;AAAA;AAG3C,0BAAoB;AAAA,EAOzB,YAAY,MAAM;AANlB;AACA;AACA;AACA;AACA;AAIE,SAAK,OAAO;AACZ,SAAK,QAAQ;AACb,SAAK,aAAa;AAClB,SAAK,UAAU,CAAC,GAAK,GAAK,GAAK,GAAK;AACpC,SAAK,kBAAkB,CAAC,GAAK,GAAK,GAAK,GAAK;AAAA;AAAA,EAG9C,KAAK,QAAQ,MAAM,YAAY;AAC7B,QAAI,OAAO,KAAK,MAAM,YAAY;AAAa,WAAK,MAAM,UAAU;AACpE,SAAK,MAAM,QAAQ,KAAK,CAAC,MAAM;AAAA;AAAA,EAGjC,UAAU,QAAQ,UAAU,YAAY;AACtC,QAAI,CAAC,KAAK,WAAW;AAAS,WAAK,WAAW,UAAU;AACxD,SAAK,WAAW,QAAQ,KAAK,CAAC,UAAU;AAAA;AAAA,EAG1C,OAAO,QAAQ,QAAQ;AACrB,SAAK,QAAQ,UAAU;AAEvB,UAAM,QAAQ,KAAK,QAAQ,OAAO,CAAC,GAAG,MAAM,IAAI,GAAG;AACnD,SAAK,kBAAkB,KAAK,QAAQ,IAAI,CAAC,OAAO,KAAK,IAAI;AAAA;AAAA,EAG3D,aAAa,eAAe,oBAAoB;AAC9C,QAAI,aAAa;AAGjB,eAAW,aAAa,eAAe;AACrC,YAAM,eAAe,cAAc;AACnC,YAAM,gBAAgB,KAAK,MAAM;AACjC,UAAI,OAAO,kBAAkB,aAAa;AAGxC,sBAAc,KAAK,gBAAgB;AACnC;AAAA;AAGF,iBAAW,CAAC,cAAc,UAAU,eAAe;AACjD,YAAI,iBAAiB,cAAc;AACjC,wBAAc,QAAQ,KAAK,gBAAgB;AAC3C;AAAA;AAAA;AAAA;AAKN,eAAW,aAAa,oBAAoB;AAC1C,YAAM,oBAAoB,mBAAmB;AAC7C,YAAM,qBAAqB,KAAK,WAAW;AAC3C,UAAI,OAAO,uBAAuB,aAAa;AAG7C,sBAAc,KAAK,gBAAgB;AACnC;AAAA;AAGF,iBAAW,CAAC,mBAAmB,UAAU,oBAAoB;AAC3D,YAAI,sBAAsB,mBAAmB;AAC3C,wBAAc,QAAQ,KAAK,gBAAgB;AAC3C;AAAA;AAAA;AAAA;AAIN,WAAO,aAAa;AAAA;AAAA;;;ACpHxB,IAAM,EAAE,OAAO,OAAO,QAAQ,MAAM,UAAU;AAE9C,IAAM,EAAE,MAAM,MAAM,SAAS;AAE7B,IAAM,EAAE,YAAY,cAAc,gBAAgB,iBAAiB,iBAAiB,gBAAgB,mBAAmB,qBAAqB;AAG5I,IAAM,WAAW,IAAI,cAAc;AACnC,SAAS,KAAK,OAAO,MAAM;AAC3B,SAAS,UAAU,OAAO,YAAY;AACtC,SAAS,UAAU,OAAO,gBAAgB;AAC1C,SAAS,UAAU,OAAO,iBAAiB;AAC3C,WAAW,UAAU,CAAC,OAAO,OAAO,OAAO,QAAQ,OAAO,MAAM,OAAO,QAAQ;AAC7E,WAAS,KAAK,QAAQ,MAAM;AAC5B,WAAS,UAAU,QAAQ,gBAAgB;AAC3C,WAAS,UAAU,QAAQ,iBAAiB;AAAA;AAI9C,IAAM,UAAU,IAAI,cAAc;AAClC,QAAQ,KAAK,OAAO,MAAM;AAC1B,QAAQ,KAAK,OAAO,MAAM;AAC1B,QAAQ,UAAU,OAAO,YAAY;AACrC,QAAQ,UAAU,OAAO,gBAAgB;AACzC,QAAQ,KAAK,OAAO,MAAM;AAC1B,QAAQ,UAAU,OAAO,YAAY;AACrC,QAAQ,UAAU,OAAO,gBAAgB;AACzC,QAAQ,KAAK,QAAQ,MAAM;AAC3B,QAAQ,UAAU,QAAQ,YAAY;AACtC,QAAQ,UAAU,QAAQ,gBAAgB;AAC1C,QAAQ,KAAK,MAAM,MAAM;AACzB,QAAQ,UAAU,MAAM,YAAY;AACpC,QAAQ,UAAU,MAAM,gBAAgB;AACxC,QAAQ,UAAU,MAAM,gBAAgB;AACxC,QAAQ,KAAK,OAAO,MAAM;AAC1B,QAAQ,UAAU,OAAO,YAAY;AACrC,QAAQ,UAAU,OAAO,gBAAgB;AACzC,QAAQ,UAAU,OAAO,gBAAgB;AACzC,QAAQ,OAAO,OAAO;AACtB,QAAQ,OAAO,QAAQ;AAGvB,IAAM,QAAQ,IAAI,cAAc;AAChC,MAAM,KAAK,OAAO,MAAM;AACxB,MAAM,KAAK,OAAO,MAAM;AACxB,MAAM,KAAK,QAAQ,MAAM;AACzB,MAAM,KAAK,MAAM,MAAM;AACvB,MAAM,KAAK,OAAO,MAAM;AACxB,MAAM,OAAO,OAAO;AACpB,MAAM,OAAO,QAAQ;AAGrB,IAAM,eAAe,IAAI,cAAc;AACvC,aAAa,KAAK,OAAO,MAAM;AAC/B,aAAa,KAAK,OAAO,MAAM;AAC/B,aAAa,KAAK,QAAQ,MAAM;AAChC,aAAa,KAAK,MAAM,MAAM;AAC9B,aAAa,KAAK,OAAO,MAAM;AAC/B,aAAa,OAAO,OAAO;AAC3B,aAAa,OAAO,QAAQ;AAG5B,IAAM,WAAW,IAAI,cAAc;AACnC,SAAS,KAAK,OAAO,MAAM;AAC3B,SAAS,KAAK,OAAO,MAAM;AAC3B,SAAS,KAAK,QAAQ,MAAM;AAC5B,SAAS,KAAK,MAAM,MAAM;AAC1B,SAAS,KAAK,OAAO,MAAM;AAE3B,IAAO,wBAAQ,CAAC,UAAU,SAAS,OAAO,cAAc;;;ACpExD,IAAM,gBAAgB;AACtB,IAAM,UAAU;AAAA,EAEd,uBAAuB;AAAA,EACvB,qBAAqB;AAAA,EAErB,qBAAqB;AAAA,EACrB,yBAAyB;AAAA,EACzB,wBAAwB;AAAA;AAG1B,wBAAwB,SAAS,SAAS,SAAS,SAAS;AAC1D,QAAM,QAAS,WAAU,WAAY,WAAU;AAC/C,MAAI,QAAQ,KAAK,KAAK,SAAS,MAAM,KAAK;AAC1C,MAAI,SAAS;AAAG,YAAQ,CAAC;AAAA,WAChB,QAAQ;AAAG,YAAQ,MAAM;AAClC,SAAO;AAAA;AAKT,mBAAmB,QAAQ,QAAQ;AACjC,MAAI,CAAC,UAAU,CAAC;AAAQ,WAAO,CAAC,GAAG;AACnC,QAAM,UAAU,eAAe,OAAO,IAAI,OAAO,IAAI,OAAO,IAAI,OAAO;AACvE,MAAI,OAAO,WAAW;AAAG,WAAO;AAChC,QAAM,UAAU,eAAe,OAAO,IAAI,OAAO,IAAI,OAAO,IAAI,OAAO;AACvE,SAAO,CAAC,SAAS;AAAA;AAGnB,4BAA4B,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;AAAA;AAGlC,4BAA4B,YAAY,UAAU,UAAU;AAC1D,QAAM,mBAAmB,WAAW,KAAK,SAAS;AAClD,QAAM,mBAAmB,WAAW,KAAK,SAAS;AAClD,QAAM,iBAAiB,SAAS,KAAK,SAAS;AAC9C,QAAM,mBAAmB,WAAW,KAAK,SAAS;AAClD,QAAM,mBAAmB,WAAW,KAAK,SAAS;AAClD,QAAM,iBAAiB,SAAS,KAAK,SAAS;AAC9C,QAAM,mBAAmB,WAAW,KAAK,SAAS;AAClD,QAAM,mBAAmB,WAAW,KAAK,SAAS;AAClD,QAAM,iBAAiB,SAAS,KAAK,SAAS;AAC9C,QAAM,iBAAiB,KAAK,KAAK,mBAAmB,mBAAmB,mBAAmB,mBAAmB,mBAAmB;AAChI,QAAM,iBAAiB,KAAK,KAAK,mBAAmB,mBAAmB,mBAAmB,mBAAmB,mBAAmB;AAChI,QAAM,eAAe,KAAK,KAAK,iBAAiB,iBAAiB,iBAAiB,iBAAiB,iBAAiB;AACpH,MAAI,SAAU,gBAAe,eAAe,iBAAiB,iBAAiB,iBAAiB,kBAAmB,KAAI,eAAe;AACrI,MAAI,SAAS;AAAK,aAAS;AAAA,WAClB,SAAS;AAAM,aAAS;AACjC,MAAI,eAAe,KAAK,KAAK;AAC7B,iBAAgB,UAAU,eAAgB;AAC1C,MAAI;AACJ,MAAI,eAAe,QAAQ;AAAqB,iBAAa,WAAW;AAAA,WAC/D,eAAe,QAAQ;AAAuB,iBAAa,WAAW;AAAA;AAC1E,iBAAa,WAAW;AAC7B,SAAO;AAAA;AAGT,qCAAqC,kBAAkB,kBAAkB,gBAAgB,YAAY;AACnG,MAAI;AACJ,MAAI,eAAe,KAAK,IAAI,mBAAmB;AAC7C,QAAI,mBAAmB;AAAG,2BAAqB,gBAAgB;AAAA;AAC1D,2BAAqB,gBAAgB;AAAA,aACjC,eAAe,KAAK,IAAI,mBAAmB;AACpD,QAAI,mBAAmB;AAAG,2BAAqB,gBAAgB;AAAA;AAC1D,2BAAqB,gBAAgB;AAAA,SACrC;AACL,QAAI,iBAAiB;AAAG,2BAAqB,gBAAgB;AAAA;AACxD,2BAAqB,gBAAgB;AAAA;AAE5C,SAAO;AAAA;AAGT,mCAAmC,kBAAkB,kBAAkB,gBAAgB,YAAY;AACjG,MAAI;AACJ,MAAI,eAAe,KAAK,IAAI,mBAAmB;AAC7C,QAAI,mBAAmB;AAAG,2BAAqB,gBAAgB;AAAA;AAC1D,2BAAqB,gBAAgB;AAAA,aACjC,eAAe,KAAK,IAAI,mBAAmB;AACpD,QAAI,mBAAmB;AAAG,2BAAqB,gBAAgB;AAAA;AAC1D,2BAAqB,gBAAgB;AAAA,SACrC;AACL,QAAI,iBAAiB;AAAG,2BAAqB,gBAAgB;AAAA;AACxD,2BAAqB,gBAAgB;AAAA;AAE5C,SAAO;AAAA;AAGT,mCAAmC,kBAAkB,kBAAkB,gBAAgB,YAAY,kBAAkB,kBAAkB,gBAAgB,YAAY;AACjK,MAAI;AACJ,QAAM,0BAA0B,0BAA0B,kBAAkB,kBAAkB,gBAAgB;AAC9G,QAAM,4BAA4B,4BAA4B,kBAAkB,kBAAkB,gBAAgB;AAClH,MAAI,4BAA4B,gBAAgB,YAAY;AAC1D,QAAI,8BAA8B,gBAAgB;AAAgB,2BAAqB,gBAAgB;AAAA;AAClG,2BAAqB,gBAAgB;AAAA,SACrC;AACL,QAAI,8BAA8B,gBAAgB;AAAgB,2BAAqB,gBAAgB;AAAA;AAClG,2BAAqB,gBAAgB;AAAA;AAE5C,SAAO;AAAA;AAGT,kCAAkC,YAAY,UAAU,UAAU,cAAc;AAC9E,QAAM,mBAAmB,WAAW,KAAK,SAAS;AAClD,QAAM,mBAAmB,WAAW,KAAK,SAAS;AAClD,QAAM,iBAAiB,SAAS,KAAK,SAAS;AAC9C,QAAM,mBAAmB,WAAW,KAAK,SAAS;AAClD,QAAM,mBAAmB,WAAW,KAAK,SAAS;AAClD,QAAM,iBAAiB,SAAS,KAAK,SAAS;AAC9C,QAAM,aAAa,KAAK,IAAI,KAAK,IAAI,mBAAmB,KAAK,IAAI,mBAAmB,KAAK,IAAI;AAC7F,QAAM,aAAa,KAAK,IAAI,KAAK,IAAI,mBAAmB,KAAK,IAAI,mBAAmB,KAAK,IAAI;AAC7F,MAAI,eAAe;AACnB,MAAI,eAAe;AACnB,MAAI,iBAAiB;AACrB,QAAM,2BAA2B,aAAc,cAAa;AAC5D,MAAI,2BAA2B;AAAK,oBAAgB,QAAQ;AAAA,WACnD,2BAA2B;AAAM,oBAAgB,QAAQ;AAAA;AAC7D,sBAAkB,QAAQ;AAC/B,QAAM,iBAAiB,KAAK,KAAK,mBAAmB,mBAAmB,mBAAmB;AAC1F,QAAM,iBAAiB,KAAK,KAAK,mBAAmB,mBAAmB,mBAAmB;AAC1F,QAAM,eAAe,KAAK,KAAK,iBAAiB,iBAAiB,iBAAiB;AAClF,QAAM,WAAW,KAAK,IAAI,gBAAgB,gBAAgB;AAC1D,MAAI,qBAAqB,WAAW;AACpC,MAAI,qBAAqB,WAAW;AACpC,MAAI,mBAAmB,SAAS;AAChC,MAAI,mBAAmB,SAAS;AAChC,MAAI,aAAa,gBAAgB;AAC/B,uBAAmB,SAAS;AAC5B,uBAAmB,SAAS;AAAA,aACnB,aAAa,cAAc;AACpC,yBAAqB,SAAS;AAC9B,yBAAqB,SAAS;AAAA;AAEhC,QAAM,iBAAiB,CAAC,oBAAoB;AAC5C,QAAM,eAAe,CAAC,kBAAkB;AACxC,QAAM,aAAa,UAAU,gBAAgB;AAC7C,QAAM,QAAQ,mBAAmB,YAAY,QAAQ;AACrD,kBAAgB,MAAM;AACtB,kBAAgB,MAAM;AACtB,oBAAkB,MAAM;AACxB,aAAW,eAAe,cAAc;AACtC,UAAM,cAAc,mBAAmB,aAAa,QAAQ;AAC5D,oBAAgB,YAAY;AAC5B,oBAAgB,YAAY;AAC5B,sBAAkB,YAAY;AAAA;AAIhC,MAAI;AACJ,MAAI,iBAAiB,KAAK,IAAI,cAAc,cAAc,iBAAiB;AACzE,yBAAqB,0BAA0B,kBAAkB,kBAAkB,gBAAgB;AAAA,aAC1F,mBAAmB,KAAK,IAAI,cAAc,iBAAiB;AACpE,yBAAqB,4BAA4B,kBAAkB,kBAAkB,gBAAgB;AAAA,SAChG;AACL,yBAAqB,0BAA0B,kBAAkB,kBAAkB,gBAAgB,YAAY,kBAAkB,kBAAkB,gBAAgB;AAAA;AAErK,SAAO;AAAA;AAGT,kBAAkB,WAAW;AAE3B,QAAM,WAA4B;AAClC,QAAM,WAA4B;AAClC,QAAM,cAA6B;AACnC,QAAM,mBAAkC;AACxC,MAAI,CAAC;AAAW,WAAO,EAAE,OAAO,aAAa,YAAY;AAGzD,aAAW,UAAU,OAAO,KAAK;AAC/B,UAAM,SAAS,OAAO,UAAU;AAChC,UAAM,YAA2B;AACjC,UAAM,YAA2B;AACjC,eAAW,UAAS,QAAQ;AAC1B,YAAM,SAAS,UAAU,OAAM;AAC/B,YAAM,UAAS,UAAU,OAAM;AAE/B,YAAM,SAAS,UAAU,QAAQ;AACjC,YAAM,UAAU,OAAO;AACvB,YAAM,UAAU,OAAO;AACvB,gBAAU,KAAK;AACf,gBAAU,KAAK;AAAA;AAEjB,aAAS,KAAK;AACd,aAAS,KAAK;AAAA;AAIhB,aAAW,UAAU,OAAO,KAAK;AAE/B,UAAM,eAAgB,WAAW,OAAO,QAAS,IAAI;AACrD,UAAM,iBAAiB,OAAO,UAAU;AACxC,UAAM,aAAa,UAAU,eAAe,cAAc;AAC1D,UAAM,WAAW,UAAU,eAAe,eAAe,GAAG;AAC5D,UAAM,WAAW,UAAU,eAAe,GAAG;AAE7C,UAAM,eAAe,mBAAmB,YAAY,UAAU;AAC9D,UAAM,iBAAiB,yBAAyB,YAAY,UAAU,UAAU,SAAS,QAAQ,MAAM;AACvG,gBAAY,UAAU;AACtB,qBAAiB,UAAU;AAAA;AAE7B,SAAO,EAAE,OAAO,aAAa,YAAY;AAAA;AAGpC,iBAAiB,WAAW;AACjC,MAAI,CAAC,aAAa,UAAU,WAAW;AAAG,WAAO;AACjD,QAAM,eAAe,SAAS;AAC9B,QAAM,YAAY;AAClB,aAAW,aAAa,OAAO,KAAK;AAClC,cAAU,OAAO,QAAQ,cAAc;AAAA,MACrC,MAAM,WAAW,QAAQ,aAAa,MAAM;AAAA,MAC5C,WAAW,gBAAgB,QAAQ,aAAa,WAAW;AAAA;AAAA;AAG/D,SAAO;AAAA;AAGF,eAAe,WAAW;AAC/B,QAAM,QAAqD;AAC3D,MAAI,CAAC,aAAa,UAAU,WAAW;AAAG,WAAO;AACjD,QAAM,eAAe,SAAS;AAC9B,aAAW,YAAW,uBAAU;AAC9B,UAAM,aAAa,SAAQ,aAAa,aAAa,OAAO,aAAa;AACzE,QAAI,cAAc;AAAe,YAAM,KAAK,EAAE,MAAM,SAAQ,MAAM;AAAA;AAEpE,SAAO;AAAA;;;AC/NT,IAAM,mBAAkB;AAAA,EACtB,OAAO,CAAC,GAAG,GAAG,GAAG;AAAA,EACjB,OAAO,CAAC,GAAG,GAAG,GAAG;AAAA,EACjB,QAAQ,CAAC,GAAG,IAAI,IAAI;AAAA,EACpB,MAAM,CAAC,IAAI,IAAI,IAAI;AAAA,EACnB,OAAO,CAAC,IAAI,IAAI,IAAI;AAAA,EACpB,MAAM,CAAC;AAAA;AAGT,IAAI;AACJ,IAAI;AACJ,IAAI;AAEJ,wBAA8B,OAAe,SAAuC;AAClF,QAAM,cAAc,MAAM,aAAa,cAAc,OAAO;AAC5D,MAAI,CAAC;AAAa,WAAO;AACzB,QAAM,QAA2B;AACjC,WAAS,IAAI,GAAG,IAAI,YAAY,QAAQ,KAAK;AAC3C,UAAM,eAAc;AACpB,QAAI,YAAY,GAAG,WAAW;AAC5B,iBAAW,OAAO,OAAO,KAAK,mBAAkB;AAC9C,qBAAY,OAAO,iBAAgB,KAAK,IAAI,CAAC,WAAU,YAAY,GAAG,UAAU;AAAA;AAAA;AAIpF,UAAM,YAAY,YAAY,GAAG;AAEjC,QAAI,OAAW,CAAC,OAAO,kBAAkB,OAAO,kBAAkB,GAAG;AACrE,QAAI,SAAc,CAAC,GAAG,GAAG,GAAG;AAC5B,QAAI,aAAa,UAAU,SAAS,GAAG;AACrC,iBAAW,MAAM,WAAW;AAC1B,YAAI,GAAG,KAAK,KAAI;AAAI,eAAI,KAAK,GAAG;AAChC,YAAI,GAAG,KAAK,KAAI;AAAI,eAAI,KAAK,GAAG;AAChC,YAAI,GAAG,KAAK,KAAI;AAAI,eAAI,KAAK,GAAG;AAChC,YAAI,GAAG,KAAK,KAAI;AAAI,eAAI,KAAK,GAAG;AAAA;AAElC,WAAI,MAAM,KAAI;AACd,WAAI,MAAM,KAAI;AACd,eAAS,CAAC,KAAI,KAAM,OAAM,MAAM,MAAM,IAAI,KAAI,KAAM,OAAM,MAAM,MAAM,IAAI,KAAI,KAAM,OAAM,MAAM,MAAM,IAAI,KAAI,KAAM,OAAM,MAAM,MAAM;AAAA,WACjI;AACL,aAAM,YAAY,GAAG,MAAM;AAAA,QACzB,KAAK,MAAM,KAAK,IAAI,GAAG,YAAY,GAAG,IAAI,QAAQ;AAAA,QAClD,KAAK,MAAM,KAAK,IAAI,GAAG,YAAY,GAAG,IAAI,QAAQ;AAAA,QAClD,KAAK,MAAM,KAAK,IAAK,MAAM,MAAM,MAAM,GAAI,YAAY,GAAG,IAAI,YAAY,MAAM,KAAK,IAAI,GAAG,YAAY,GAAG,IAAI,QAAQ;AAAA,QACvH,KAAK,MAAM,KAAK,IAAK,MAAM,MAAM,MAAM,GAAI,YAAY,GAAG,IAAI,YAAY,MAAM,KAAK,IAAI,GAAG,YAAY,GAAG,IAAI,QAAQ;AAAA,UACrH,CAAC,GAAG,GAAG,GAAG;AACd,eAAS;AAAA,QACN,YAAY,GAAG,IAAI,QAAQ,KAAO,OAAM,MAAM,MAAM;AAAA,QACpD,YAAY,GAAG,IAAI,QAAQ,KAAO,OAAM,MAAM,MAAM;AAAA,QACpD,aAAY,GAAG,IAAI,YAAY,KAAK,YAAY,GAAG,IAAI,QAAQ,MAAO,OAAM,MAAM,MAAM;AAAA,QACxF,aAAY,GAAG,IAAI,YAAY,KAAK,YAAY,GAAG,IAAI,QAAQ,MAAO,OAAM,MAAM,MAAM;AAAA;AAAA;AAG7F,UAAM,YAAY,AAAW,QAAQ;AACrC,UAAM,KAAK;AAAA,MACT,IAAI;AAAA,MACJ,OAAO,KAAK,MAAM,MAAM,YAAY,GAAG,cAAc;AAAA,MACrD,UAAU,KAAK,MAAM,MAAM,YAAY,GAAG,iBAAiB;AAAA,MAC3D,aAAa,KAAK,MAAM,MAAM,YAAY,GAAG,oBAAoB;AAAA,MACjE,OAAO;AAAA,MACP;AAAA,MACA;AAAA,MACA;AAAA,MACA,aAAa;AAAA,MACb;AAAA;AAAA;AAGJ,SAAO;AAAA;AAGT,sBAA2B,SAAiE;AAtF5F;AAuFE,MAAI,IAAI,SAAS;AACf,wBAAoB;AACpB,oBAAgB;AAAA;AAElB,MAAI,CAAC,qBAAqB,CAAC,eAAe;AACxC,KAAC,mBAAmB,iBAAiB,MAAM,QAAQ,IAAI;AAAA,MACrD,QAAO,KAAK,UAAU,AAAG,gCAAe,KAAK,QAAO,eAAe,eAAO,KAAK,aAAZ,mBAAsB,cAAa,KAAK,EAAE,WAAY,gBAAO,KAAK,aAAZ,mBAAsB,cAAa,IAAI,SAAS,kBAA2C;AAAA,MACpN,QAAO,KAAK,YAAY,AAAG,gCAAe,KAAK,QAAO,eAAe,eAAO,KAAK,aAAZ,mBAAsB,cAAa,KAAK,EAAE,WAAY,gBAAO,KAAK,aAAZ,mBAAsB,cAAa,IAAI,SAAS,kBAA2C;AAAA;AAExN,QAAI,QAAO,KAAK,SAAS;AACvB,UAAI,CAAC,qBAAqB,CAAC,kBAAkB;AAAa,YAAI,sBAAsB,eAAO,KAAK,aAAZ,mBAAsB,cAAa;AAAA,eAC9G,QAAO;AAAO,YAAI,eAAe,kBAAkB;AAC5D,UAAI,CAAC,iBAAiB,CAAC,cAAc;AAAa,YAAI,sBAAsB,eAAO,KAAK,aAAZ,mBAAsB,cAAa;AAAA,eACtG,QAAO;AAAO,YAAI,eAAe,cAAc;AAAA;AAAA,SAErD;AACL,QAAI,QAAO;AAAO,UAAI,iBAAiB,kBAAkB;AACzD,QAAI,QAAO;AAAO,UAAI,iBAAiB,cAAc;AAAA;AAEvD,QAAM,eAAe,IAAiB,aAAa;AACnD,iBAAe,IAAiB,aAAa,cAAc;AAC3D,SAAO,CAAC,mBAAmB;AAAA;;;AC1GtB,cAAc,WAAyB,cAA+B,CAAC,GAAG,IAAI;AACnF,QAAM,UAAS,CAAC,UAAU,IAAI,CAAC,OAAO,GAAG,KAAK,UAAU,IAAI,CAAC,OAAO,GAAG;AACvE,QAAM,OAAM,CAAC,KAAK,IAAI,GAAG,QAAO,KAAK,KAAK,IAAI,GAAG,QAAO;AACxD,QAAM,OAAM,CAAC,KAAK,IAAI,GAAG,QAAO,KAAK,KAAK,IAAI,GAAG,QAAO;AACxD,QAAM,OAAW,CAAC,KAAI,IAAI,KAAI,IAAI,KAAI,KAAK,KAAI,IAAI,KAAI,KAAK,KAAI;AAChE,QAAM,SAAc,CAAC,KAAI,KAAK,YAAW,IAAI,KAAI,KAAK,YAAW,IAAI,KAAI,KAAK,YAAW,IAAI,KAAI,KAAK,YAAW;AACjH,SAAO,EAAE,WAAK;AAAA;AAGT,gBAAgB,WAAyB,cAA+B,CAAC,GAAG,IAAI;AACrF,QAAM,UAAS,CAAC,UAAU,IAAI,CAAC,OAAO,GAAG,KAAK,UAAU,IAAI,CAAC,OAAO,GAAG;AACvE,QAAM,OAAM,CAAC,KAAK,IAAI,GAAG,QAAO,KAAK,KAAK,IAAI,GAAG,QAAO;AACxD,QAAM,OAAM,CAAC,KAAK,IAAI,GAAG,QAAO,KAAK,KAAK,IAAI,GAAG,QAAO;AACxD,QAAM,SAAS,CAAE,MAAI,KAAK,KAAI,MAAM,GAAI,MAAI,KAAK,KAAI,MAAM;AAC3D,QAAM,OAAO,KAAK,IAAI,OAAO,KAAK,KAAI,IAAI,OAAO,KAAK,KAAI,IAAI,CAAC,OAAO,KAAK,KAAI,IAAI,CAAC,OAAO,KAAK,KAAI;AACpG,QAAM,OAAW,CAAC,KAAK,MAAM,OAAO,KAAK,OAAO,KAAK,MAAM,OAAO,KAAK,OAAO,KAAK,MAAM,IAAI,OAAO,KAAK,MAAM,IAAI;AACnH,QAAM,SAAc,CAAC,KAAI,KAAK,YAAW,IAAI,KAAI,KAAK,YAAW,IAAI,KAAI,KAAK,YAAW,IAAI,KAAI,KAAK,YAAW;AACjH,SAAO,EAAE,WAAK;AAAA;AAGT,eAAe,MAAU,WAAmB;AACjD,QAAM,OAAO,CAAC,KAAI,KAAK,WAAW,KAAI,KAAK;AAC3C,QAAM,SAAc;AAAA,IAClB,KAAI,KAAM,MAAK,KAAK,KAAI,MAAM;AAAA,IAC9B,KAAI,KAAM,MAAK,KAAK,KAAI,MAAM;AAAA,IAC9B,KAAK;AAAA,IACL,KAAK;AAAA;AAEP,SAAO;AAAA;AAGF,cAAc,MAAU;AAC7B,QAAM,QAAa,CAAC,KAAK,IAAI,GAAG,KAAI,KAAK,KAAK,IAAI,GAAG,KAAI,KAAK,KAAK,IAAI,GAAG,KAAI,KAAK,KAAI,KAAK,KAAK,IAAI,GAAG,KAAI,KAAK,KAAI;AACrH,SAAO;AAAA;;;ACjBT,IAAM,UAAiD,CAAC,MAAM;AAC9D,IAAM,mBAAmB,CAAC,+CAA+C;AAEzE,IAAM,aAAY,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG;AAE/B,IAAM,UAAU,CAAC,QAAQ,QAAQ,SAAS,SAAS,QAAQ,OAAO;AAClE,IAAM,YAAY;AAElB,IAAM,gBAAgB;AACtB,IAAM,wBAAwB;AAC9B,IAAM,qBAAqB;AAE3B,IAAI,WAAU,OAAO;AACrB,IAAI,YAAW;AACf,IAAI,aAA+B,CAAC,GAAG;AAWvC,IAAM,SAGF;AAAA,EACF,OAAO;AAAA,EACP,OAAO;AAAA;AAGT,IAAM,YAAY;AAAA,EAChB,OAAO,CAAC,GAAG,GAAG,GAAG;AAAA,EACjB,OAAO,CAAC,GAAG,GAAG,GAAG;AAAA,EACjB,QAAQ,CAAC,GAAG,IAAI,IAAI;AAAA,EACpB,MAAM,CAAC,IAAI,IAAI,IAAI;AAAA,EACnB,OAAO,CAAC,IAAI,IAAI,IAAI;AAAA,EACpB,MAAM,CAAC;AAAA;AAGT,2BAAiC,SAAqC;AA5DtE;AA8DE,MAAI,IAAI;AAAS,YAAO,KAAK;AAC7B,MAAI,CAAC,QAAO,IAAI;AAGd,YAAQ,CAAC,qBAAqB,SAAS,wBAAwB,SAAS,YAAY,UAAU,QAAQ,mBAAmB,iBAAiB,qBAAqB,qBAAqB,cAAc,SAAS,SAAS,UAAU;AAC9N,YAAO,KAAK,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,eAAO,KAAK,aAAZ,mBAAsB,cAAa;AAClG,UAAM,SAAS,OAAO,OAAO,QAAO,GAAG,eAAe;AACtD,eAAU,GAAG,KAAK,MAAM,QAAQ,UAAU,SAAS,OAAO,GAAG,YAAY,IAAI,GAAG,QAAQ;AACxF,eAAU,GAAG,KAAK,MAAM,QAAQ,UAAU,SAAS,OAAO,GAAG,YAAY,IAAI,GAAG,QAAQ;AACxF,QAAI,CAAC,QAAO,MAAM,CAAC,QAAO,GAAG;AAAa,UAAI,sBAAsB,cAAO,KAAK,aAAZ,mBAAsB;AAAA,aACjF,QAAO;AAAO,UAAI,eAAe,QAAO,GAAG;AAAA,aAC3C,QAAO;AAAO,QAAI,iBAAiB,QAAO,GAAG;AACxD,SAAO,QAAO;AAAA;AAGhB,4BAAmC,SAAqC;AA7ExE;AA8EE,MAAI,IAAI;AAAS,YAAO,KAAK;AAC7B,MAAI,CAAC,QAAO,IAAI;AACd,YAAO,KAAK,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,eAAO,KAAK,aAAZ,mBAAsB,cAAa;AAClG,UAAM,SAAS,OAAO,OAAO,QAAO,GAAG,eAAe;AACtD,eAAU,GAAG,KAAK,MAAM,QAAQ,UAAU,SAAS,OAAO,GAAG,YAAY,IAAI,GAAG,QAAQ;AACxF,eAAU,GAAG,KAAK,MAAM,QAAQ,UAAU,SAAS,OAAO,GAAG,YAAY,IAAI,GAAG,QAAQ;AACxF,QAAI,CAAC,QAAO,MAAM,CAAC,QAAO,GAAG;AAAa,UAAI,sBAAsB,cAAO,KAAK,aAAZ,mBAAsB;AAAA,aACjF,QAAO;AAAO,UAAI,eAAe,QAAO,GAAG;AAAA,aAC3C,QAAO;AAAO,QAAI,iBAAiB,QAAO,GAAG;AACxD,SAAO,QAAO;AAAA;AAShB,2BAA2B,OAAe,SAA6C;AACrF,QAAM,QAA4B;AAClC,MAAI,CAAC,SAAS,CAAC,QAAO;AAAI,WAAO;AACjC,QAAM,IAA4B;AAClC,QAAM,QAAS,OAAM,MAAM,MAAM,KAAM,OAAM,MAAM,MAAM;AACzD,QAAM,SAAS,KAAK,IAAI,KAAK,MAAO,OAAM,MAAM,MAAM,KAAK,KAAK,GAAG;AACnE,QAAM,QAAQ,KAAK,MAAM,SAAS,QAAQ,KAAK;AAC/C,IAAE,SAAS,AAAG,uBAAM,eAAe,OAAO,CAAC,QAAQ;AACnD,IAAE,OAAO,AAAG,sBAAK,EAAE,QAAQ;AAC3B,GAAC,EAAE,WAAW,EAAE,YAAY,MAAM,QAAO,GAAG,aAAa,EAAE,MAAM;AACjE,IAAE,QAAQ,AAAG,yBAAQ,EAAE,UAAU,CAAC,GAAG;AACrC,IAAE,SAAS,AAAG,yBAAQ,EAAE,WAAW,CAAC;AACpC,QAAM,cAA6B,AAAG,yBAAQ,EAAE,QAAQ;AACxD,EAAG,yBAAQ,YAAY;AACvB,cAAY,OAAO,WAAW;AAC9B,IAAE,WAAW,AAAG,uBAAM,aAAa;AACnC,EAAG,yBAAQ;AACX,IAAE,MAAM,AAAG,qBAAI,EAAE,UAAU;AAC3B,IAAE,SAAS,AAAG,wBAAO,EAAE,UAAU;AACjC,MAAI,KAAK;AACT,IAAE,MAAM,MAAM,AAAG,uBAAM,uBAAuB,EAAE,OAAO,EAAE,KAAK,QAAO,KAAK,aAAa,QAAO,KAAK,cAAc,QAAO,KAAK;AAC7H,QAAM,MAAM,MAAM,EAAE,IAAI;AACxB,QAAM,SAAS,MAAM,EAAE,IAAI;AAC3B,QAAM,WAAW,MAAM,EAAE,OAAO;AAChC,aAAW,YAAY,MAAM,KAAK,MAAM;AACtC,UAAM,WAAW,AAAG,uBAAM,EAAE,OAAO,UAAU;AAC7C,UAAM,QAAQ,MAAM,SAAS;AAC7B,IAAG,yBAAQ;AAEX,UAAM,UAAe,CAAC,MAAM,IAAI,MAAM,IAAI,MAAM,KAAK,MAAM,IAAI,MAAM,KAAK,MAAM;AAChF,UAAM,SAAc,AAAI,MAAM,SAAS;AACvC,UAAM,UAAe,AAAI,KAAK;AAC9B,UAAM,UAAe,CAAC,KAAK,MAAM,QAAQ,KAAK,WAAW,KAAK,KAAK,MAAM,QAAQ,KAAK,WAAW,KAAK,KAAK,MAAM,QAAQ,KAAK,WAAW,KAAK,KAAK,MAAM,QAAQ,KAAK,WAAW;AACjL,UAAM,QAAQ,OAAO;AACrB,UAAM,QAAQ,QAAQ,SAAS;AAC/B,UAAM,QAAyB,EAAE,IAAI,MAAM,OAAO,KAAK,SAAS,QAAQ,SAAS;AACjF,UAAM,KAAK;AAAA;AAEb,SAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAChD,QAAM,KAAK,CAAC,GAAG,MAAM,EAAE,QAAQ,EAAE;AACjC,MAAI,MAAM,SAAU,SAAO,KAAK,eAAe;AAAI,UAAM,SAAU,QAAO,KAAK,eAAe;AAC9F,SAAO;AAAA;AAGT,6BAA6B,OAAe,GAAqB,SAAqC;AACpG,QAAM,QAAmB;AAAA,IACvB,IAAI,EAAE;AAAA,IACN,OAAO,KAAK,MAAM,MAAM,EAAE,SAAS;AAAA,IACnC,UAAU,KAAK,MAAM,MAAM,EAAE,SAAS;AAAA,IACtC,aAAa;AAAA,IACb,KAAK,EAAE;AAAA,IACP,QAAQ,EAAE;AAAA,IACV,OAAO,EAAE;AAAA,IACT,WAAW;AAAA,IACX,WAAW;AAAA,IACX,aAAa;AAAA;AAEf,MAAI,SAAS,QAAO,MAAM,QAAO,KAAK,aAAa,EAAE,QAAS,SAAO,KAAK,iBAAiB,IAAI;AAC7F,UAAM,IAA4B;AAClC,MAAE,OAAO,AAAG,uBAAM,cAAc,OAAO,CAAC,EAAE,UAAU,CAAC,IAAI,CAAC,WAAU,GAAG,IAAI,WAAU,GAAG,KAAK;AAC7F,MAAE,OAAO,AAAG,sBAAK,EAAE,MAAM;AACzB,MAAE,MAAM,AAAG,qBAAI,EAAE,MAAM;AACvB,KAAC,EAAE,OAAO,EAAE,aAAa,QAAO,GAAG,QAAQ,EAAE,KAAK,CAAC,cAAc;AACjE,UAAM,WAAY,OAAM,EAAE,MAAM,QAAQ;AACxC,UAAM,QAAS,OAAM,KAAK,MAAM,MAAO,KAAI,KAAK,IAAI,eAAe;AACnE,QAAI,SAAU,SAAO,KAAK,iBAAiB,IAAI;AAC7C,YAAK,cAAc;AACnB,QAAE,WAAW,AAAG,yBAAQ,EAAE,WAAW,CAAC,IAAI;AAC1C,YAAM,aAAsB,MAAM,EAAE,SAAS;AAC7C,YAAM,YAAqB,WAAW,IAAI,CAAC,SAAQ,CAAC,KAAI,KAAK,WAAU,GAAG,IAAI,KAAI,KAAK,WAAU,GAAG,IAAK,KAAI,MAAM;AACnH,YAAM,aAAsB,UAAU,IAAI,CAAC,SAAQ,CAAC,KAAI,KAAK,EAAE,OAAO,IAAI,KAAI,KAAK,EAAE,OAAO,IAAK,KAAI,MAAM;AAC3G,YAAK,YAAa,WAAY,IAAI,CAAC,SAAQ;AAAA,QACzC,WAAW,KAAM,MAAI,KAAK,EAAE,OAAO;AAAA,QACnC,WAAW,KAAM,MAAI,KAAK,EAAE,OAAO;AAAA,QAClC,KAAI,MAAM;AAAA;AAEb,YAAK,YAAY,AAAW,QAAQ,MAAK;AACzC,iBAAW,OAAO,OAAO,KAAK,YAAY;AACxC,cAAK,YAAY,OAAO,UAAU,KAAK,IAAI,CAAC,WAAW,MAAK,aAAa,MAAK,UAAU,UAAS,MAAK,UAAU,UAAS;AAAA;AAAA;AAG7H,WAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAAA;AAElD,SAAO;AAAA;AAGT,wBAA8B,OAAe,SAAuC;AAtLpF;AAuLE,MAAI,CAAC,QAAO,MAAM,CAAC,QAAO,MAAM,CAAC,eAAO,OAAP,mBAAW,OAAO,GAAG,UAAS,CAAC,eAAO,OAAP,mBAAW,OAAO,GAAG;AAAO,WAAO;AACnG,eAAa,CAAC,MAAM,MAAM,MAAM,GAAG,MAAM,MAAM,MAAM;AACrD;AACA,QAAM,WAAY,SAAO,KAAK,YAAY,KAAM,QAAQ;AACxD,QAAM,YAAY,WAAW,SAAO,KAAK,cAAc;AACvD,MAAI,QAAO,eAAe,YAAY,WAAW;AAC/C,WAAO,OAAM;AAAA;AAEf,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAM,mBAAmB,IAAK,SAAO,KAAK,YAAY,KAAM,QAAQ;AACpE,UAAM,oBAAoB,WAAU,IAAK,SAAO,KAAK,cAAc;AACnE,QAAI,QAAO,eAAe,OAAM,MAAM,WAAW,QAAO,KAAK,aAAa;AACxE,aAAM,QAAQ,MAAM,QAAQ,IAAI,OAAM,MAAM,IAAI,CAAC,YAAY,cAAc,OAAO,SAAS;AAAA,eAClF,QAAO,eAAe,oBAAoB,qBAAqB,OAAM,MAAM,SAAS,GAAG;AAChG,aAAM,QAAQ,MAAM,QAAQ,IAAI,OAAM,MAAM,IAAI,CAAC,YAAY,cAAc,OAAO,SAAS;AAAA,WACtF;AACL,aAAM,QAAQ,MAAM,YAAY,OAAO;AACvC,kBAAW;AACX,aAAM,QAAQ,MAAM,QAAQ,IAAI,OAAM,MAAM,IAAI,CAAC,YAAY,cAAc,OAAO,SAAS;AAC3F,iBAAU;AAAA;AAGZ,UAAM,WAAW,CAAC,GAAG,OAAM;AAC3B,WAAM,MAAM,SAAS;AACrB,QAAI,QAAO,mBAAmB,GAAG;AAC/B,eAAS,IAAI,GAAG,IAAI,OAAM,MAAM,QAAQ,KAAK;AAC3C,cAAM,SAAS,AAAI,OAAO,OAAM,MAAM,GAAG,WAAW;AACpD,YAAI,OAAO,IAAI,KAAM,OAAM,MAAM,MAAM,KAAK,QAAQ,OAAO,IAAI,KAAM,OAAM,MAAM,MAAM,KAAK,QAAQ,OAAM,MAAM,GAAG,eAAe,OAAM,MAAM,GAAG,cAAe,SAAO,KAAK,iBAAiB,IAAI;AAC/L,gBAAM,WAAW,AAAI,MAAM,OAAO,KAAK;AACvC,gBAAM,cAAc,AAAI,MAAM,OAAO,QAAQ;AAC7C,gBAAM,UAAU,AAAI,KAAK;AACzB,iBAAM,MAAM,KAAK,KAAK,SAAS,IAAI,KAAK,UAAU,QAAQ,aAAa;AAAA;AAAA;AAAA;AAI7E,aAAS,IAAI,GAAG,IAAI,OAAM,MAAM,QAAQ,KAAK;AAC3C,YAAM,OAAO,AAAI,KAAK,OAAM,MAAM,GAAG,WAAW;AAChD,aAAM,MAAM,GAAG,MAAM,KAAK;AAC1B,aAAM,MAAM,GAAG,SAAS,KAAK;AAAA;AAE/B,YAAQ,OAAM;AAAA;AAAA;;;ACrNlB,IAAI;AACJ,IAAM,UAAwB;AAC9B,IAAI,YAAU,OAAO;AACrB,IAAI,aAAY;AAChB,IAAI,aAAW;AAEf,sBAA2B,SAAqC;AAhBhE;AAiBE,MAAI,IAAI;AAAS,cAAQ;AACzB,MAAI,CAAC,SAAO;AACV,cAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,eAAO,KAAK,aAAZ,mBAAsB,cAAa;AAC9F,QAAI,CAAC,WAAS,CAAC,QAAM;AAAa,UAAI,sBAAsB,cAAO,KAAK,aAAZ,mBAAsB;AAAA,aACzE,QAAO;AAAO,UAAI,eAAe,QAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,QAAM;AACpD,SAAO;AAAA;AAGT,yBAA8B,SAAe,SAAgB,KAAK,QAAO;AA1BzE;AA2BE,MAAI,CAAC;AAAO,WAAO;AACnB,QAAM,WAAY,gBAAO,KAAK,aAAZ,mBAAsB,aAAY,KAAM,QAAQ;AAClE,QAAM,YAAY,YAAW,gBAAO,KAAK,aAAZ,mBAAsB,eAAc;AACjE,MAAI,QAAO,eAAe,YAAY,aAAc,eAAc,UAAU,QAAO,MAAM;AACvF;AACA,WAAO,QAAO;AAAA;AAEhB,cAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAM,SAAS,AAAG,uBAAM,eAAe,SAAO,CAAC,oCAAO,OAAO,GAAG,SAAQ,QAAM,OAAO,GAAG,MAAM,KAAK,GAAG,oCAAO,OAAO,GAAG,SAAQ,QAAM,OAAO,GAAG,MAAM,KAAK,IAAI;AAC9J,UAAM,MAAM,mCAAO,QAAQ;AAC3B,UAAM,MAAO,OAAM,IAAI,QAAQ;AAC/B,YAAO,OAAO,KAAK,MAAM,MAAM,OAAO;AACtC,iBAAY;AACZ,iBAAW;AACX,IAAG,yBAAQ,CAAC,QAAQ;AACpB,YAAQ,QAAO;AAAA;AAAA;;;AC3CnB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAO,IAAM,OAAqB;AAAA,EAChC;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;AAAA;AAGK,IAAM,aAA8B;AAAA,EACzC,CAAC,WAAW;AAAA,EACZ,CAAC,WAAW;AAAA,EACZ,CAAC,gBAAgB;AAAA,EACjB,CAAC,aAAa;AAAA,EACd,CAAC,aAAa;AAAA,EACd,CAAC,WAAW;AAAA,EACZ,CAAC,YAAY;AAAA,EACb,CAAC,aAAa;AAAA;AAGT,IAAM,WAA4B;AAAA,EACvC,CAAC,YAAY;AAAA,EACb,CAAC,aAAa;AAAA,EACd,CAAC,aAAa;AAAA,EACd,CAAC,cAAc;AAAA;AAGV,IAAM,WAA8B;AAAA,EACzC,CAAC,CAAC,WAAW,aAAa,CAAC,gBAAgB;AAAA,EAC3C,CAAC,CAAC,aAAa,eAAe,CAAC,gBAAgB;AAAA;AAG1C,IAAM,aAAsC;AAAA,EACjD,SAAS,CAAC,WAAW,YAAY;AAAA,EACjC,UAAU,CAAC,YAAY,aAAa;AAAA,EACpC,OAAO,CAAC,gBAAgB,iBAAiB,YAAY,WAAW;AAAA,EAChE,SAAS,CAAC,gBAAgB,aAAa;AAAA,EACvC,UAAU,CAAC,iBAAiB,cAAc;AAAA,EAC1C,MAAM;AAAA;;;AC3CR,IAAM,YAAY;AAElB,IAAM,SAGF;AAAA,EACF,WAAW;AAAA,EACX,SAAS,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG;AAAA;AAGjC,mBAAmB,OAAkB;AAC1C,aAAW,QAAe,YAAY;AACpC,UAAM,OAAO,MAAK,UAAU,UAAU,CAAC,OAAO,GAAG,SAAS,KAAK;AAC/D,UAAM,QAAQ,MAAK,UAAU,UAAU,CAAC,OAAO,GAAG,SAAS,KAAK;AAChE,QAAI,MAAK,UAAU,SAAS,MAAK,UAAU,QAAQ;AACjD,UAAI,MAAK,UAAU,MAAM,SAAS,KAAK,MAAK,UAAU,OAAO,SAAS,IAAI;AACxE,cAAM,MAAM,MAAK,UAAU;AAC3B,cAAK,UAAU,QAAQ,MAAK,UAAU;AACtC,cAAK,UAAU,SAAS;AAAA;AAAA;AAAA;AAI9B,aAAW,QAAe,UAAU;AAClC,UAAM,QAAQ,MAAK,UAAU,UAAU,CAAC,OAAQ,MAAM,GAAG,SAAS,KAAK;AACvE,UAAM,SAAS,MAAK,UAAU,UAAU,CAAC,OAAQ,MAAM,GAAG,SAAS,KAAK;AACxE,QAAI,MAAK,UAAU,UAAU,MAAK,UAAU,SAAS;AACnD,UAAI,MAAK,UAAU,OAAO,SAAS,KAAK,MAAK,UAAU,QAAQ,SAAS,IAAI;AAC1E,cAAK,UAAU,OAAO,OAAO;AAAA;AAAA;AAAA;AAInC,aAAW,CAAC,MAAM,aAAmB,UAAU;AAC7C,UAAM,OAAO,MAAK,UAAU,UAAU,CAAC,OAAQ,MAAM,GAAG,SAAS,KAAK;AACtE,UAAM,QAAQ,MAAK,UAAU,UAAU,CAAC,OAAQ,MAAM,GAAG,SAAS,KAAK;AACvE,UAAM,SAAS,MAAK,UAAU,UAAU,CAAC,OAAQ,MAAM,GAAG,SAAS,SAAQ;AAC3E,UAAM,UAAU,MAAK,UAAU,UAAU,CAAC,OAAQ,MAAM,GAAG,SAAS,SAAQ;AAC5E,QAAI,CAAC,MAAK,UAAU,WAAW,CAAC,MAAK,UAAU;AAAU;AACzD,UAAM,eAAe,MAAK,UAAU,QAAQ;AAAA,MAC1C,KAAK,IAAI,MAAK,UAAU,QAAQ,SAAS,KAAK,MAAK,UAAU,MAAM,SAAS;AAAA,MAC5E,KAAK,IAAI,MAAK,UAAU,SAAS,SAAS,KAAK,MAAK,UAAU,MAAM,SAAS;AAAA,QAC3E,CAAC,GAAG;AACR,UAAM,gBAAgB,MAAK,UAAU,SAAS;AAAA,MAC5C,KAAK,IAAI,MAAK,UAAU,SAAS,SAAS,KAAK,MAAK,UAAU,OAAO,SAAS;AAAA,MAC9E,KAAK,IAAI,MAAK,UAAU,QAAQ,SAAS,KAAK,MAAK,UAAU,OAAO,SAAS;AAAA,QAC3E,CAAC,GAAG;AACR,QAAI,aAAa,KAAK,aAAa,MAAM,cAAc,KAAK,cAAc,IAAI;AAC5E,YAAM,MAAM,MAAK,UAAU;AAC3B,YAAK,UAAU,QAAQ,MAAK,UAAU;AACtC,YAAK,UAAU,SAAS;AAAA;AAAA;AAAA;AAKvB,gBAAgB,WAAqD;AAC1E,WAAS,IAAI,GAAG,IAAI,UAAU,QAAQ,KAAK;AACzC,QAAI,UAAU,MAAM,OAAM,UAAU,IAAI;AACtC,YAAM,OAAO,CAAC,KAAK,IAAI,UAAU,GAAG,YAAY,KAAK,OAAM,UAAU,GAAG,YAAY,KAAK,KAAK,IAAI,UAAU,GAAG,YAAY,KAAK,OAAM,UAAU,GAAG,YAAY;AAC/J,UAAI,KAAK,KAAK,aAAa,KAAK,KAAK,WAAW;AAC9C,kBAAU,KAAK,OAAM,UAAU;AAAA,aAC1B;AACL,eAAM,UAAU,KAAK,UAAU;AAAA;AAAA,WAE5B;AACL,aAAM,UAAU,KAAK,UAAU;AAAA;AAAA;AAGnC,SAAO;AAAA;AAGF,kBAAkB,OAAe,YAA2B;AACjE,QAAM,IAA4B;AAClC,MAAI,CAAC,MAAM,SAAS,CAAC,MAAM,MAAM,MAAM,CAAC,MAAM,MAAM;AAAI,WAAO;AAC/D,SAAM,UAAU;AAAA,IACd,CAAC,GAAG;AAAA,IACJ,CAAC,MAAM,MAAM,KAAK,MAAM,MAAM,KAAK,KAAK,MAAO,OAAM,MAAM,KAAK,MAAM,MAAM,MAAM,KAAK,GAAG,MAAM,MAAM,KAAK,MAAM,MAAM,KAAK,KAAK,MAAO,OAAM,MAAM,KAAK,MAAM,MAAM,MAAM,KAAK;AAAA,IAChL,CAAC,MAAM,MAAM,KAAK,MAAM,MAAM,KAAK,KAAK,MAAO,OAAM,MAAM,KAAK,MAAM,MAAM,MAAM,KAAK,GAAG,MAAM,MAAM,KAAK,MAAM,MAAM,KAAK,KAAK,MAAO,OAAM,MAAM,KAAK,MAAM,MAAM,MAAM,KAAK;AAAA,IAChL,CAAC,GAAG;AAAA;AAEN,IAAE,MAAM,AAAG,qBAAI,OAAO,OAAM;AAC5B,IAAE,SAAS,AAAG,uBAAM,eAAe,EAAE,KAAK,CAAC,YAAW;AACtD,QAAM,QAAQ,AAAG,sBAAK,EAAE,QAAQ;AAChC,SAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAChD,SAAO;AAAA;AAGF,qBAAqB,OAAkB,aAA0C;AACtF,QAAK,YAAY,MAAK,UAAU,OAAO,CAAC,SAAQ,QAAO,KAAI;AAC3D,aAAW,QAAO,MAAK,WAAW;AAChC,SAAI,WAAW;AAAA,MACb,KAAI,SAAS,KAAM,aAAW,KAAK,OAAM,QAAQ,GAAG,KAAK,OAAM,QAAQ,GAAG,MAAM,YAAW,KAAK,OAAM,QAAQ,GAAG;AAAA,MACjH,KAAI,SAAS,KAAM,aAAW,KAAK,OAAM,QAAQ,GAAG,KAAK,OAAM,QAAQ,GAAG,MAAM,YAAW,KAAK,OAAM,QAAQ,GAAG;AAAA;AAEnH,SAAI,cAAc;AAAA,MAChB,KAAI,SAAS,KAAK,YAAW;AAAA,MAAI,KAAI,SAAS,KAAK,YAAW;AAAA;AAAA;AAGlE,QAAM,gBAAgB,AAAI,KAAK,MAAK,UAAU,IAAI,CAAC,OAAO,GAAG,WAAW;AACxE,QAAK,MAAM,cAAc;AACzB,QAAK,SAAS,cAAc;AAC5B,SAAO;AAAA;;;ACxFT,IAAI;AACJ,IAAI,aAAY;AAChB,IAAI,YAAU,OAAO;AAGrB,IAAM,SAIF;AAAA,EACF,OAAO;AAAA,EACP,QAAQ;AAAA,EACR,MAAM;AAAA;AAGR,sBAA2B,SAAqC;AAC9D,MAAI,IAAI;AAAS,cAAQ;AACzB,MAAI,CAAC,SAAO;AACV,YAAQ,CAAC,SAAS;AAClB,cAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,QAAO,KAAK,aAAa;AACpF,QAAI,CAAC,WAAS,CAAC,QAAM;AAAa,UAAI,sBAAsB,QAAO,KAAK;AAAA,aAC/D,QAAO;AAAO,UAAI,eAAe,QAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,QAAM;AACpD,eAAY,QAAM,OAAO,GAAG,QAAQ,QAAM,OAAO,GAAG,MAAM,KAAK;AAC/D,MAAI,eAAc;AAAI,iBAAY;AAClC,SAAO;AAAA;AAGT,+BAA+B,KAAK,SAAQ,SAAO,UAAU;AAC3D,QAAM,OAAM,IAAI,GAAG;AACnB,QAAM,YAAiC;AACvC,MAAI,QAAQ;AACZ,WAAS,KAAK,GAAG,KAAK,KAAI,QAAQ,MAAM;AACtC,YAAQ,KAAI,IAAI;AAChB,QAAI,QAAQ,QAAO,KAAK,eAAe;AACrC,YAAM,cAAqB;AAAA,QACxB,UAAS,KAAK,SAAS,MAAM,KAAI,IAAI,KAAK,SAAS;AAAA,QACnD,UAAS,KAAK,SAAS,MAAM,KAAI,IAAI,KAAK,SAAS;AAAA;AAEtD,gBAAU,KAAK;AAAA,QACb,OAAO,KAAK,MAAM,MAAM,SAAS;AAAA,QACjC,MAAM,AAAO,KAAI;AAAA,QACjB;AAAA,QACA,UAAU;AAAA,UACR,KAAK,MAAO,SAAM,MAAM,MAAM,KAAK,YAAY;AAAA,UAC/C,KAAK,MAAO,SAAM,MAAM,MAAM,KAAK,YAAY;AAAA;AAAA;AAAA;AAAA;AAKvD,UAAQ,UAAU,OAAO,CAAC,MAAM,SAAU,KAAK,QAAQ,OAAO,KAAK,QAAQ,MAAO;AAClF,QAAM,SAA4B;AAClC,QAAM,SAAS,AAAI,KAAK,UAAU,IAAI,CAAC,OAAO,GAAG,WAAW,CAAC,QAAM,MAAM,IAAI,QAAM,MAAM;AACzF,QAAM,eAAyC;AAC/C,aAAW,CAAC,MAAM,YAAY,OAAO,QAAe,aAAY;AAC9D,UAAM,KAAqB;AAC3B,aAAS,IAAI,GAAG,IAAI,QAAQ,SAAS,GAAG,KAAK;AAC3C,YAAM,MAAM,UAAU,KAAK,CAAC,OAAO,GAAG,SAAS,QAAQ;AACvD,YAAM,MAAM,UAAU,KAAK,CAAC,OAAO,GAAG,SAAS,QAAQ,IAAI;AAC3D,UAAI,OAAO,OAAO,IAAI,QAAS,SAAO,KAAK,iBAAiB,MAAM,IAAI,QAAS,SAAO,KAAK,iBAAiB;AAAI,WAAG,KAAK,CAAC,IAAI,UAAU,IAAI;AAAA;AAE7I,iBAAY,QAAQ;AAAA;AAEtB,QAAM,QAAmB,EAAE,IAAI,GAAG,OAAO,KAAK,OAAO,KAAK,QAAQ,OAAO,QAAQ,WAAW;AAC5F,EAAI,UAAU;AACd,SAAO,KAAK;AACZ,SAAO;AAAA;AAGT,8BAA8B,KAAK,SAAQ,SAAO,UAAU;AAC1D,QAAM,SAA4B;AAClC,WAAS,KAAK,GAAG,KAAK,IAAI,GAAG,QAAQ,MAAM;AACzC,UAAM,OAAM,IAAI,GAAG;AACnB,UAAM,aAAa,KAAK,MAAM,MAAM,KAAI,KAAK,MAAM;AACnD,QAAI,aAAa,QAAO,KAAK,eAAe;AAC1C,YAAM,YAAiC;AACvC,eAAS,IAAI,GAAG,IAAI,IAAI,KAAK;AAC3B,cAAM,QAAQ,KAAI,IAAI,IAAI;AAC1B,YAAI,QAAQ,QAAO,KAAK,eAAe;AACrC,gBAAM,cAAqB;AAAA,YACxB,UAAS,KAAK,SAAS,MAAM,KAAI,IAAI,IAAI,KAAK,SAAS;AAAA,YACvD,UAAS,KAAK,SAAS,MAAM,KAAI,IAAI,IAAI,KAAK,SAAS;AAAA;AAE1D,oBAAU,KAAK;AAAA,YACb,MAAM,AAAO,KAAI;AAAA,YACjB,OAAO,KAAK,MAAM,MAAM,SAAS;AAAA,YACjC;AAAA,YACA,UAAU,CAAC,KAAK,MAAO,SAAM,MAAM,MAAM,KAAK,YAAY,KAAK,KAAK,MAAO,SAAM,MAAM,MAAM,KAAK,YAAY;AAAA;AAAA;AAAA;AAIpH,YAAM,SAAS,AAAI,KAAK,UAAU,IAAI,CAAC,OAAO,GAAG,WAAW,CAAC,QAAM,MAAM,IAAI,QAAM,MAAM;AAIzF,YAAM,eAAyC;AAC/C,iBAAW,CAAC,MAAM,YAAY,OAAO,QAAe,aAAY;AAC9D,cAAM,KAAqB;AAC3B,iBAAS,IAAI,GAAG,IAAI,QAAQ,SAAS,GAAG,KAAK;AAC3C,gBAAM,MAAM,UAAU,KAAK,CAAC,OAAO,GAAG,SAAS,QAAQ;AACvD,gBAAM,MAAM,UAAU,KAAK,CAAC,OAAO,GAAG,SAAS,QAAQ,IAAI;AAC3D,cAAI,OAAO,OAAO,IAAI,QAAS,SAAO,KAAK,iBAAiB,MAAM,IAAI,QAAS,SAAO,KAAK,iBAAiB;AAAI,eAAG,KAAK,CAAC,IAAI,UAAU,IAAI;AAAA;AAE7I,qBAAY,QAAQ;AAAA;AAEtB,YAAM,QAAmB,EAAE,IAAI,OAAO,YAAY,KAAK,OAAO,KAAK,QAAQ,OAAO,QAAQ,WAAW,CAAC,GAAG,YAAY;AACrH,MAAI,UAAU;AACd,aAAO,KAAK;AAAA;AAAA;AAGhB,SAAO,KAAK,CAAC,GAAG,MAAM,EAAE,QAAQ,EAAE;AAClC,MAAI,OAAO,SAAS,QAAO,KAAK;AAAa,WAAO,SAAS,QAAO,KAAK;AACzE,SAAO;AAAA;AAGT,yBAA8B,OAAe,SAAuC;AAClF,MAAI,CAAC,WAAS,CAAC,oCAAO,OAAO,GAAG;AAAO,WAAO;AAC9C,MAAI,CAAC,QAAO;AAAa,WAAM,MAAM,SAAS;AAC9C;AACA,QAAM,WAAY,SAAO,KAAK,YAAY,KAAM,QAAQ,OAAM;AAC9D,QAAM,YAAY,YAAW,SAAO,KAAK,cAAc;AACvD,MAAI,QAAO,eAAe,YAAY,WAAW;AAC/C,WAAO,OAAM;AAAA;AAEf,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAM,IAA4B;AAClC,gBAAU;AAmCV,MAAE,QAAQ,AAAI,SAAS,OAAO;AAC9B,MAAE,MAAM,mCAAO,QAAQ,EAAE;AACzB,WAAM,OAAO;AACb,UAAM,MAAM,MAAM,EAAE,IAAI;AACxB,WAAM,SAAU,EAAE,IAAI,MAAM,OAAO,KAC/B,MAAM,gBAAgB,KAAK,SAAQ,OAAO,CAAC,GAAG,GAAG,GAAG,MACpD,MAAM,eAAe,KAAK,SAAQ,OAAO,CAAC,GAAG,GAAG,GAAG;AACvD,eAAW,SAAQ,OAAM,QAAQ;AAC/B,MAAI,YAAY,OAAM,CAAC,MAAM,MAAM,MAAM,GAAG,MAAM,MAAM,MAAM;AAC9D,MAAI,OAAO,MAAK;AAAA;AAElB,WAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAEhD,YAAQ,OAAM;AAAA;AAAA;;;ACjLlB,IAAI;AACJ,IAAI,QAA4B;AAChC,IAAI,aAAW;AACf,IAAI,YAAU,OAAO;AAErB,IAAM,WAAW;AAEjB,sBAA2B,SAAqC;AAC9D,MAAI,CAAC,WAAS,IAAI,SAAS;AACzB,cAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,QAAO,OAAO,aAAa;AACtF,UAAM,SAAS,OAAO,OAAO,QAAM,eAAe;AAClD,YAAM,YAAY,MAAM,QAAQ,UAAU,SAAS,OAAO,GAAG,YAAY,IAAI,GAAG,QAAQ;AACxF,QAAI,CAAC,QAAM;AAAW,YAAM,IAAI,MAAM,qCAAqC,QAAO,OAAO;AACzF,QAAI,CAAC,WAAS,CAAC,QAAM;AAAU,UAAI,sBAAsB,QAAO,OAAO;AAAA,aAC9D,QAAO;AAAO,UAAI,eAAe,QAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,QAAM;AACpD,SAAO;AAAA;AAGT,wBAAuB,KAAK,YAAW,aAAa,SAAQ;AAC1D,MAAI,KAAK;AACT,MAAI,UAA+B;AACnC,aAAW,cAAc,CAAC,GAAG,GAAG,IAAI;AAElC,IAAG,sBAAK,YAAY;AAtCxB;AAuCM,YAAM,WAAW,aAAa;AAE9B,YAAM,UAAU,UAAI,KAAK,CAAC,MAAO,EAAE,MAAM,OAAQ,YAAY,KAAM,EAAE,MAAM,OAAO,OAAO,YAAzE,mBAAmF;AACnG,YAAM,YAAY,UAAI,KAAK,CAAC,MAAO,EAAE,MAAM,OAAQ,YAAY,KAAM,EAAE,MAAM,KAAK,OAAO,YAAvE,mBAAiF;AACnG,YAAM,WAAW,UAAU,QAAQ,CAAC,IAAI,GAAG,UAAU,MAAM,KAAK;AAChE,YAAM,SAAS,MAAM,SAAS,OAAO,GAAG;AACxC,YAAM,SAAS,MAAM,QAAQ;AAC7B,eAAS,IAAI,GAAG,IAAI,QAAQ,MAAM,IAAI,KAAK;AACzC,iBAAS,IAAI,GAAG,IAAI,QAAQ,MAAM,IAAI,KAAK;AACzC,gBAAM,QAAQ,OAAO,GAAG;AACxB,cAAI,QAAQ,QAAO,OAAO,iBAAiB,MAAM,IAAI;AACnD,kBAAM,KAAM,OAAM,KAAK,MAAM,IAAI,aAAa;AAC9C,kBAAM,KAAM,OAAM,KAAK,MAAM,IAAI,aAAa;AAC9C,kBAAM,YAAY,OAAO,GAAG,IAAI,CAAC,MAAM,IAAK,YAAW,aAAa;AACpE,kBAAM,CAAC,GAAG,KAAK;AAAA,cACb,KAAM,WAAW,aAAa,UAAU;AAAA,cACxC,KAAM,WAAW,aAAa,UAAU;AAAA;AAE1C,kBAAM,CAAC,GAAG,KAAK;AAAA,cACb,KAAM,WAAW,aAAa,UAAU,KAAM;AAAA,cAC9C,KAAM,WAAW,aAAa,UAAU,KAAM;AAAA;AAEhD,gBAAI,SAAc,CAAC,GAAG,GAAG,GAAG;AAC5B,qBAAS,OAAO,IAAI,CAAC,MAAM,KAAK,IAAI,GAAG,KAAK,IAAI,GAAG;AACnD,kBAAM,OAAM;AAAA,cACV,OAAO,KAAK,YAAY;AAAA,cACxB,OAAO,KAAK,YAAY;AAAA,cACxB,OAAO,KAAK,YAAY;AAAA,cACxB,OAAO,KAAK,YAAY;AAAA;AAE1B,kBAAM,SAAS;AAAA,cACb,IAAI;AAAA,cAEJ,OAAO,KAAK,MAAM,MAAM,SAAS;AAAA,cACjC,OAAO,IAAI;AAAA,cACX,OAAO,OAAO,GAAG;AAAA,cAGjB,KAAK,KAAI,IAAI,CAAC,MAAM,KAAK,MAAM;AAAA,cAC/B;AAAA;AAEF,oBAAQ,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAOvB,MAAI,QAAQ,CAAC,MAAM,AAAG,yBAAQ;AAI9B,QAAM,WAAW,QAAQ,IAAI,CAAC,MAAM,CAAC,EAAE,OAAO,IAAI,EAAE,OAAO,IAAI,EAAE,OAAO,IAAI,EAAE,OAAO;AACrF,QAAM,YAAY,QAAQ,IAAI,CAAC,MAAM,EAAE;AACvC,MAAI,SAAwB;AAC5B,MAAI,YAAY,SAAS,SAAS,GAAG;AACnC,UAAM,MAAM,MAAM,AAAG,uBAAM,uBAAuB,UAAU,WAAW,QAAO,OAAO,aAAa,QAAO,OAAO,cAAc,QAAO,OAAO;AAC5I,aAAS,MAAM,IAAI;AACnB,IAAG,yBAAQ;AAAA;AAIb,YAAU,QACP,OAAO,CAAC,MAAM,QAAQ,OAAO,SAAS,MACtC,KAAK,CAAC,GAAG,MAAO,EAAE,QAAQ,EAAE;AAE/B,SAAO;AAAA;AAGT,yBAA8B,SAAe,SAAyC;AACpF,QAAM,WAAY,SAAO,OAAO,YAAY,KAAM,QAAQ;AAC1D,QAAM,YAAY,YAAW,SAAO,OAAO,cAAc;AACzD,MAAI,QAAO,eAAe,YAAY,aAAc,MAAK,SAAS,GAAI;AACpE;AACA,WAAO;AAAA;AAET,cAAU;AACV,MAAI,CAAC,IAAI,QAAQ,SAAS,UAAU,CAAC,IAAI,QAAQ,SAAS;AAAkB,WAAO;AACnF,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAM,cAAa,CAAC,QAAM,MAAM,IAAI,QAAM,MAAM;AAChD,UAAM,SAAS,AAAG,uBAAM,eAAe,SAAO,CAAC,QAAM,WAAW,QAAM,YAAY;AAClF,UAAM,OAAO,AAAG,qBAAI,QAAQ;AAC5B,UAAM,YAAY,KAAK,UAAU,CAAC,GAAG,GAAG,GAAG;AAC3C,IAAG,yBAAQ;AACX,IAAG,yBAAQ;AAEX,QAAI;AACJ,QAAI,QAAO,OAAO;AAAS,gBAAU,QAAM,QAAQ;AACnD,iBAAW;AACX,IAAG,yBAAQ;AAEX,UAAM,MAAM,MAAM,SAAQ,SAAS,QAAM,WAAW,aAAY;AAChE,YAAO;AACP,YAAQ;AAAA;AAAA;;;AC7HL,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;AAAA;AAGxD,IAAM,QAAQ,UAAU;AAExB,IAAM,UAAU,UAAU,OAAO,CAAC,QAAQ,WAAW,MAAM;AAChE,SAAO,aAAa;AACpB,SAAO;AAAA,GACN;AAEH,IAAM,qBAAqB;AAAA,EACzB,CAAC,WAAW;AAAA,EAAiB,CAAC,aAAa;AAAA,EAC3C,CAAC,aAAa;AAAA,EAAc,CAAC,WAAW;AAAA,EACxC,CAAC,YAAY;AAAA,EAAc,CAAC,YAAY;AAAA,EACxC,CAAC,cAAc;AAAA,EAAkB,CAAC,cAAc;AAAA,EAChD,CAAC,YAAY;AAAA,EAAc,CAAC,aAAa;AAAA,EACzC,CAAC,gBAAgB;AAAA,EAAkB,CAAC,WAAW;AAAA;AAE1C,IAAM,uBAAuB,mBAAmB,IAAI,CAAC,CAAC,YAAY,gBAAiB,CAAC,QAAQ,aAAa,QAAQ;AAEjH,IAAM,YAAY;AAAA,EACvB,CAAC,QAAQ;AAAA,EAAY,CAAC,WAAW;AAAA,EAAY,CAAC,QAAQ;AAAA,EACtD,CAAC,YAAY;AAAA,EAAa,CAAC,QAAQ;AAAA,EACnC,CAAC,gBAAgB;AAAA,EAAc,CAAC,aAAa;AAAA,EAC7C,CAAC,gBAAgB;AAAA,EAAY,CAAC,WAAW;AAAA,EACzC,CAAC,YAAY;AAAA,EAAc,CAAC,QAAQ;AAAA,EACpC,CAAC,iBAAiB;AAAA,EAAe,CAAC,cAAc;AAAA,EAChD,CAAC,iBAAiB;AAAA,EAAa,CAAC,YAAY;AAAA,EAC5C,CAAC,aAAa;AAAA;AAiBT,wBAAwB,WAA6C;AAC1E,QAAM,QAAQ,UAAU,OAAO,CAAC,EAAE,MAAM,MAAM,MAAM,QAAQ,EAAE,UAAU,EAAE,GAAG,UAAW;AAAA,IACtF,MAAM,KAAK,IAAI,MAAM;AAAA,IACrB,MAAM,KAAK,IAAI,MAAM;AAAA,IACrB,MAAM,KAAK,IAAI,MAAM;AAAA,IACrB,MAAM,KAAK,IAAI,MAAM;AAAA,MACnB;AAAA,IACF,MAAM,OAAO;AAAA,IACb,MAAM,OAAO;AAAA,IACb,MAAM,OAAO;AAAA,IACb,MAAM,OAAO;AAAA;AAEf,SAAO,CAAC,MAAM,MAAM,MAAM,MAAM,MAAM,OAAO,MAAM,MAAM,MAAM,OAAO,MAAM;AAAA;AAGvE,oBAAoB,OAAO,CAAC,QAAQ,QAAQ,CAAC,uBAAuB,uBAA0C;AACnH,QAAM,SAAS,SAAS;AACxB,QAAM,SAAS,QAAQ;AACvB,QAAM,YAAY,CAAC,MAAM,MAAO;AAAA,IAC9B,IAAI;AAAA,IACJ,OAAO,KAAK;AAAA,IACZ,QAAQ,CAAC,KAAK,IAAI,KAAK,sBAAsB,KAAK,IAAI,KAAK,uBAAuB,KAAK,IAAI,KAAK,sBAAsB,KAAK,IAAI,KAAK;AAAA,IACpI,KAAK,CAAC,KAAK,MAAM,KAAK,IAAI,KAAK,SAAS,KAAK,MAAM,KAAK,IAAI,KAAK,SAAS,KAAK,MAAM,KAAK,IAAI,KAAK,SAAS,KAAK,MAAM,KAAK,IAAI,KAAK;AAAA,IACrI,WAAW,KAAK,UAAU,IAAI,CAAC,EAAE,OAAO,MAAM,eAAgB;AAAA,MAC5D;AAAA,MACA;AAAA,MACA,UAAU,CAAC,KAAK,MAAM,SAAS,IAAI,SAAS,KAAK,MAAM,SAAS,IAAI;AAAA,MACpE,aAAa,CAAC,SAAS,IAAI,uBAAuB,SAAS,IAAI;AAAA;AAAA;AAGnE,QAAM,cAAc,MAAM,IAAI,CAAC,MAAM,MAAM,UAAU,MAAM;AAC3D,SAAO;AAAA;AAIF,oBAAc;AAAA,EAKnB,YAAY,UAAS,iBAAiB;AAJtC;AACA;AACA;AAGE,SAAK,gBAAgB,IAAI,MAAM;AAC/B,SAAK,mBAAmB;AACxB,SAAK,kBAAkB;AAAA;AAAA,EAGzB,QAAQ,GAAG;AACT,SAAK,cAAc,EAAE,KAAK,oBAAoB;AAC9C,SAAK,KAAK,KAAK;AAAA;AAAA,EAGjB,UAAU;AACR,UAAM,OAAM,KAAK,cAAc;AAC/B,SAAK,SAAS,GAAG,KAAK;AACtB,SAAK,KAAK;AACV,SAAK,cAAc,KAAK,mBAAmB,KAAK;AAChD,WAAO;AAAA;AAAA,EAGT,QAAQ;AAAE,WAAO,KAAK,qBAAqB;AAAA;AAAA,EAE3C,OAAO;AAAE,WAAO,KAAK,mBAAmB;AAAA;AAAA,EAExC,MAAM;AAAE,WAAO,KAAK,cAAc,MAAM,GAAG,KAAK,mBAAmB;AAAA;AAAA,EAEnE,MAAM;AAAE,WAAO,KAAK,cAAc;AAAA;AAAA,EAElC,KAAK,GAAG;AACN,WAAO,IAAI,KAAK,KAAK,KAAK,KAAK,MAAM,IAAI,IAAI,IAAI;AAC/C,WAAK,SAAS,GAAG,KAAK,MAAM,IAAI;AAChC,UAAI,KAAK,MAAM,IAAI;AAAA;AAAA;AAAA,EAIvB,KAAK,GAAG;AACN,WAAO,IAAI,KAAK,KAAK,kBAAkB;AACrC,UAAI,IAAI,IAAI;AACZ,UAAI,IAAI,KAAK,oBAAoB,KAAK,KAAK,GAAG,IAAI;AAAI;AACtD,UAAI,CAAC,KAAK,KAAK,GAAG;AAAI;AACtB,WAAK,SAAS,GAAG;AACjB,UAAI;AAAA;AAAA;AAAA,EAIR,WAAW,GAAG;AAEZ,WAAO,KAAK,gBAAgB,KAAK,cAAc;AAAA;AAAA,EAGjD,KAAK,GAAG,GAAG;AACT,WAAO,KAAK,WAAW,KAAK,KAAK,WAAW;AAAA;AAAA,EAG9C,SAAS,GAAG,GAAG;AACb,UAAM,IAAI,KAAK,cAAc;AAC7B,SAAK,cAAc,KAAK,KAAK,cAAc;AAC3C,SAAK,cAAc,KAAK;AAAA;AAAA;AAIrB,wBAAwB,GAAG,GAAG,UAAU,SAAS;AACtD,SAAO;AAAA,IACL,GAAG,QAAQ,IAAI,GAAG,GAAG;AAAA,IACrB,GAAG,QAAQ,IAAI,GAAG,GAAG,WAAW;AAAA;AAAA;AAI7B,wBAAwB,MAAM,eAAc,SAAS;AAC1D,QAAM,EAAE,UAAU,UAAU,IAAI,aAAa;AAC7C,QAAM,EAAE,GAAG,MAAM,eAAe,UAAU,UAAU,UAAU;AAC9D,SAAO;AAAA,IACL,GAAG,KAAK,WAAW,gBAAe;AAAA,IAClC,GAAG,KAAK,WAAW,gBAAe;AAAA;AAAA;AAY/B,eAAe,GAAG,MAAK,MAAK;AACjC,MAAI,IAAI;AAAK,WAAO;AACpB,MAAI,IAAI;AAAK,WAAO;AACpB,SAAO;AAAA;AAGF,yBAAyB,IAAI,IAAI,IAAI,IAAI;AAC9C,QAAM,KAAK,KAAK;AAChB,QAAM,KAAK,KAAK;AAChB,SAAO,KAAK,KAAK,KAAK;AAAA;AAGjB,oBAAoB,GAAG,GAAG;AAC/B,SAAO,EAAE,GAAG,EAAE,IAAI,EAAE,GAAG,GAAG,EAAE,IAAI,EAAE;AAAA;;;AClLpC,IAAI;AACJ,IAAM,iBAAiB,CAAC,gCAA6C,iCAAoD,0CAA+D;AAExL,IAAM,qBAAqB;AAC3B,IAAM,eAAe;AACrB,IAAM,mBAAmB,MAAM;AAE/B,kBAAkB,QAAQ,gBAAgB,UAAU,QAAQ,SAAS,eAAe,mBAAmB,GAAG;AACxG,QAAM,kBAAkB,CAAC,WAAW;AAAA,IAClC,GAAG,cAAc,IAAI,OAAM,GAAG,OAAM,GAAG;AAAA,IACvC,GAAG,cAAc,IAAI,OAAM,GAAG,OAAM,GAAI,cAAc,MAAM,KAAK,IAAK;AAAA;AAExE,QAAM,2BAA2B,CAAC,QAAO,SAAQ,WAAW;AAAA,IAC1D,GAAG,AAAM,MAAM,KAAK,MAAM,OAAM,IAAI,eAAe,GAAG,UAAS;AAAA,IAC/D,GAAG,AAAM,MAAM,KAAK,MAAM,OAAM,IAAI,eAAe,GAAG,SAAQ;AAAA;AAGhE,QAAM,CAAC,QAAQ,SAAS,OAAO;AAE/B,QAAM,wBAAwB,yBAAyB,eAAe,UAAU,QAAQ;AACxF,QAAM,eAAe,gBAAgB;AACrC,QAAM,iBAAiB,AAAM,WAAW,eAAe,UAAU;AACjE,MAAI,iBAAiB;AACrB,WAAS,IAAI,GAAG,IAAI,kBAAkB,KAAK;AACzC,UAAM,wBAAwB,yBAAyB,gBAAgB,QAAQ;AAC/E,UAAM,cAAc,AAAM,eAAe,sBAAsB,GAAG,sBAAsB,GAAG,UAAU;AACrG,qBAAiB,AAAM,WACrB,EAAE,GAAG,sBAAsB,IAAI,cAAc,GAAG,sBAAsB,IAAI,gBAC1E,EAAE,GAAG,YAAY,GAAG,GAAG,YAAY;AAAA;AAGvC,QAAM,wBAAwB,yBAAyB,gBAAgB,QAAQ;AAC/E,QAAM,QAAQ,OAAO,IAAI,sBAAsB,GAAG,sBAAsB,GAAG;AAC3E,SAAO,EAAE,UAAU,gBAAgB,MAAM,AAAM,UAAU,WAAW;AAAA;AAG/D,oBAAoB,MAAM,QAAQ,SAAS,kBAAkB,kBAAkB;AACpF,QAAM,SAAS,AAAM,UAAU,IAAI,CAAC,CAAC,gBAAgB,mBAAoB,CAAC,AAAM,QAAQ,iBAAiB,AAAM,QAAQ;AACvH,QAAM,WAAW,OAAO,IAAI,CAAC,CAAC,EAAE,kBAAkB;AAClD,QAAM,WAAW,OAAO,IAAI,CAAC,CAAC,mBAAmB;AACjD,QAAM,WAAW,OAAO,MAAM;AAC9B,QAAM,WAAW,SAAS;AAC1B,QAAM,YAAY,IAAI,MAAM;AAE5B,QAAM,YAAY,AAAM,eAAe,KAAK,MAAM,cAAc;AAChE,YAAU,KAAK,KAAK,MAAM;AAAA,IACxB,OAAO,KAAK;AAAA,IACZ,MAAM,AAAM,UAAU,KAAK,KAAK;AAAA,IAChC,UAAU;AAAA;AAGZ,WAAS,OAAO,WAAW,GAAG,QAAQ,GAAG,EAAE,MAAM;AAC/C,UAAM,WAAW,SAAS;AAC1B,UAAM,WAAW,SAAS;AAC1B,QAAI,UAAU,aAAa,CAAC,UAAU,WAAW;AAC/C,gBAAU,YAAY,SAAS,MAAM,UAAU,WAAW,UAAU,QAAQ,SAAS;AAAA;AAAA;AAIzF,WAAS,OAAO,GAAG,OAAO,UAAU,EAAE,MAAM;AAC1C,UAAM,WAAW,SAAS;AAC1B,UAAM,WAAW,SAAS;AAC1B,QAAI,UAAU,aAAa,CAAC,UAAU,WAAW;AAC/C,gBAAU,YAAY,SAAS,MAAM,UAAU,WAAW,UAAU,QAAQ,SAAS;AAAA;AAAA;AAGzF,SAAO;AAAA;AAGT,qCAAqC,YAAY,OAAO,UAAU,UAAU,QAAQ;AAClF,QAAM,CAAC,QAAQ,SAAS,OAAO;AAC/B,MAAI,eAAe;AACnB,QAAM,SAAS,KAAK,IAAI,WAAW,oBAAoB;AACvD,QAAM,OAAO,KAAK,IAAI,WAAW,qBAAqB,GAAG;AACzD,WAAS,WAAW,QAAQ,WAAW,MAAM,EAAE,UAAU;AACvD,UAAM,SAAS,KAAK,IAAI,WAAW,oBAAoB;AACvD,UAAM,OAAO,KAAK,IAAI,WAAW,qBAAqB,GAAG;AACzD,aAAS,WAAW,QAAQ,WAAW,MAAM,EAAE,UAAU;AACvD,UAAI,OAAO,IAAI,UAAU,UAAU,cAAc,OAAO;AACtD,uBAAe;AACf;AAAA;AAAA;AAGJ,QAAI,CAAC;AAAc;AAAA;AAErB,SAAO;AAAA;AAGF,iCAAiC,gBAAe,QAAQ;AAC7D,QAAM,CAAC,QAAQ,OAAO,gBAAgB,OAAO;AAC7C,QAAM,QAAQ,IAAU,QAAQ,SAAS,QAAQ,cAAc,CAAC,EAAE,YAAY;AAC9E,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;AAE7C,YAAI,QAAQ;AAAe;AAE3B,YAAI,4BAA4B,YAAY,OAAO,UAAU,UAAU;AAAS,gBAAM,QAAQ,EAAE,OAAO,MAAM,EAAE,UAAU,UAAU,IAAI;AAAA;AAAA;AAAA;AAI7I,SAAO;AAAA;AAGT,sBAAsB,OAAO,EAAE,GAAG,KAAK,YAAY;AACjD,SAAO,MAAM,KAAK,CAAC,EAAE,gBAAgB;AAxHvC;AAyHI,UAAM,wBAAwB,gBAAU,gBAAV,mBAAuB;AACrD,QAAI,CAAC;AAAuB,aAAO;AACnC,WAAO,AAAM,gBAAgB,GAAG,GAAG,sBAAsB,GAAG,sBAAsB,MAAM;AAAA;AAAA;AAI5F,0BAA0B,eAAe,WAAW;AAClD,QAAM,8BAA8B,UAAU,OAAO,CAAC,QAAQ,EAAE,UAAU,SAAS,eAAe;AAChG,QAAI,CAAC,aAAa,eAAe,UAAU;AAAa,gBAAU;AAClE,WAAO;AAAA,KACN;AACH,SAAO,8BAA8B,UAAU;AAAA;AAG1C,gBAAgB,SAAS,QAAQ,kBAAkB,kBAAkB,aAAa,gBAAe;AACtG,QAAM,QAAuD;AAC7D,QAAM,QAAQ,wBAAwB,gBAAe;AAErD,SAAO,MAAM,SAAS,eAAe,CAAC,MAAM,SAAS;AAEnD,UAAM,OAAO,MAAM;AAGnB,UAAM,kBAAkB,AAAM,eAAe,KAAK,MAAM,cAAc;AAEtE,QAAI,aAAa,OAAO,iBAAiB,KAAK,KAAK;AAAK;AAExD,QAAI,YAAY,WAAW,MAAM,QAAQ,SAAS,kBAAkB;AACpE,gBAAY,UAAU,OAAO,CAAC,MAAM,EAAE,QAAQ;AAC9C,UAAM,QAAQ,iBAAiB,OAAO;AACtC,UAAM,OAAM,AAAM,eAAe;AACjC,QAAI,QAAQ;AAAe,YAAM,KAAK,EAAE,WAAW,WAAK,OAAO,KAAK,MAAM,MAAM,SAAS;AAAA;AAE3F,SAAO;AAAA;AAGT,yBAA8B,OAAe,SAAuC;AAIlF,QAAM,MAAM,AAAG,sBAAK,MAAM;AACxB,QAAI,CAAC,QAAM,OAAO,GAAG;AAAO,aAAO;AACnC,UAAM,UAAU,AAAG,uBAAM,eAAe,OAAO,CAAC,QAAM,OAAO,GAAG,MAAM,IAAI,QAAM,OAAO,GAAG,MAAM;AAChG,UAAM,aAAa,AAAG,qBAAI,AAAG,qBAAI,AAAG,sBAAK,SAAS,YAAY,QAAQ;AACtE,UAAM,UAAyB,QAAM,QAAQ,YAAY;AACzD,UAAM,YAAY,QAAQ,IAAI,CAAC,MAAM,AAAG,yBAAQ,GAAG,CAAC;AACpD,cAAU,KAAK,UAAU,GAAG;AAC5B,WAAO;AAAA;AAGT,QAAM,UAAU,MAAM,QAAQ,IAAI,IAAI,IAAI,CAAC,YAAmB,QAAO;AACrE,aAAW,KAAK;AAAK,IAAG,yBAAQ;AAEhC,QAAM,UAAU,MAAM,OAAO,QAAQ,IAAI,QAAQ,IAAI,QAAQ,IAAI,QAAQ,IAAI,QAAO,KAAK,aAAa,QAAO,KAAK;AAClH,MAAI,CAAC,QAAM,OAAO,GAAG;AAAO,WAAO;AACnC,QAAM,SAAS,AAAM,WAAW,SAAS,CAAC,MAAM,MAAM,IAAI,MAAM,MAAM,KAAK,CAAC,QAAM,OAAO,GAAG,MAAM,IAAI,QAAM,OAAO,GAAG,MAAM;AAC5H,SAAO;AAAA;AAGT,sBAA2B,SAAqC;AAC9D,MAAI,CAAC,WAAS,IAAI,SAAS;AACzB,cAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,QAAO,KAAK,aAAa;AACpF,QAAI,CAAC,WAAS,CAAC,QAAM;AAAa,UAAI,sBAAsB,QAAO,KAAK;AAAA,aAC/D,QAAO;AAAO,UAAI,eAAe,QAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,QAAM;AACpD,SAAO;AAAA;;;AC1KT,IAAI;AACJ,IAAI,OAAO;AAEX,sBAA2B,SAAqC;AAC9D,MAAI,CAAC,WAAS,IAAI,SAAS;AACzB,cAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,QAAO,aAAa,aAAa;AAC5F,QAAI,CAAC,WAAS,CAAC,QAAM;AAAa,UAAI,sBAAsB,QAAO,aAAa;AAAA,aACvE,QAAO;AAAO,UAAI,eAAe,QAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,QAAM;AACpD,SAAO;AAAA;AAGT,wBAA8B,OAAc,YAA+B,SAC+D;AA7B1I;AA8BE,MAAI;AAAM,WAAO,EAAE,MAAM,IAAI,QAAQ,MAAM,OAAO;AAClD,SAAO;AACP,MAAI,CAAC;AAAO,UAAM,OAAK;AACvB,QAAM,aAAa,MAAM,AAAM,SAAQ,OAAO;AAC9C,QAAM,QAAQ,kBAAW,WAAX,mBAAmB,UAAS;AAC1C,QAAM,SAAS,kBAAW,WAAX,mBAAmB,WAAU;AAC5C,MAAI,CAAC,WAAW;AAAQ,WAAO,EAAE,MAAM,IAAI,QAAQ,MAAM,OAAO;AAChE,QAAM,IAA4B;AAElC,IAAE,SAAS,AAAG,uBAAM,eAAe,WAAW,QAAQ,CAAC,QAAM,OAAO,GAAG,QAAQ,QAAM,OAAO,GAAG,MAAM,KAAK,GAAG,QAAM,OAAO,GAAG,QAAQ,QAAM,OAAO,GAAG,MAAM,KAAK,IAAI;AACpK,EAAG,yBAAQ,WAAW;AACtB,IAAE,OAAO,AAAG,qBAAI,EAAE,QAAQ;AAC1B,IAAE,MAAM,QAAM,QAAQ,EAAE;AAExB,IAAE,UAAU,AAAG,yBAAQ,EAAE,KAAK;AAC9B,MAAI,EAAE,QAAQ,MAAM,OAAO,GAAG;AAC5B,MAAE,UAAU,AAAG,yBAAQ,EAAE;AACzB,KAAC,EAAE,IAAI,EAAE,MAAM,AAAG,yBAAQ,EAAE,SAAS;AACrC,MAAE,SAAS,AAAG,4BAAW,EAAE,IAAI;AAC/B,MAAE,MAAM,AAAG,4BAAW,EAAE,QAAQ;AAChC,MAAE,OAAO,AAAG,uBAAM,cAAc,EAAE,KAAK,CAAC,CAAC,GAAG,GAAG,KAAK,OAAO,CAAC,IAAI,CAAC,OAAO;AAIxE,MAAE,OAAO,AAAG,yBAAQ,EAAE,MAAM;AAAA,SACvB;AACL,MAAE,OAAO,AAAG,uBAAM,eAAe,EAAE,SAAS,CAAC,QAAQ;AAAA;AAEvD,QAAM,OAAO,MAAM,KAAK,MAAM,EAAE,KAAK;AAErC,MAAI,IAAI,QAAQ,CAAC,IAAI,UAAW,OAAO,cAAc,aAAc;AACjE,QAAI,QAAO;AAAO,UAAI;AACtB,WAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAChD,WAAO,EAAE,MAAM,QAAQ,MAAM,OAAO;AAAA;AAGtC,QAAM,cAAc,AAAM,OAAO,OAAO;AACxC,QAAM,AAAG,yBAAQ,SAAS,EAAE,MAAM;AAClC,QAAM,WAAW,YAAY,WAAW;AACxC,MAAI,QAAO,aAAa,QAAQ,QAAO,aAAa,OAAO;AAAG,aAAS,SAAS,QAAQ,QAAO,aAAa;AAC5G,QAAM,YAAY,SAAS,aAAa,GAAG,GAAG,OAAO;AAErD,QAAM,kBAAkB,AAAM,OAAO,OAAO;AAC5C,QAAM,eAAe,gBAAgB,WAAW;AAChD,MAAI,WAAW;AAAQ,iBAAa,UAAU,WAAW,QAAQ,GAAG;AACpE,eAAa,2BAA2B;AACxC,MAAI,QAAO,aAAa,QAAQ,QAAO,aAAa,OAAO;AAAG,iBAAa,SAAS,QAAQ,QAAO,aAAa;AAChH,eAAa,UAAU,aAAa,GAAG;AACvC,eAAa,2BAA2B;AACxC,eAAa,SAAS;AACtB,QAAM,gBAAgB,aAAa,aAAa,GAAG,GAAG,OAAO;AAC7D,WAAS,IAAI,GAAG,IAAI,QAAQ,QAAQ;AAAK,kBAAc,KAAK,IAAI,IAAI,KAAK,UAAU,KAAK,IAAI,IAAI;AAChG,eAAa,aAAa,eAAe,GAAG;AAE5C,MAAI,eAA2D;AAC/D,MAAI,cAAc,iBAAiB;AACjC,mBAAe,AAAM,OAAO,OAAO;AACnC,UAAM,UAAU,MAAM,AAAM,SAAQ,YAAY;AAChD,IAAG,yBAAQ,QAAQ;AACnB,UAAM,WAAW,aAAa,WAAW;AACzC,aAAS,UAAU,QAAQ,QAA6B,GAAG,GAAG,aAAa,OAAO,aAAa;AAC/F,aAAS,UAAU,iBAAiB,GAAG;AAAA;AAGzC,SAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAChD,SAAO;AAEP,SAAO,EAAE,MAAM,QAAQ,gBAAgB,iBAAiB,OAAO;AAAA;;;ACjE1D,mBAAa;AAAA,EAAb,cAhCP;AAiCE,+BAA+C;AAC/C,yCAAyD;AACzD,2CAA2D;AAC3D,qCAAqD;AACrD,qCAAqD;AACrD,yCAAyD;AACzD,qCAAqD;AACrD,mCAAmD;AACnD,sCAAsD;AACtD,oCAAoD;AACpD,oCAAoD;AACpD,mCAAmD;AACnD,kCAAkD;AAClD,oCAAoD;AACpD,wCAAwD;AACxD,qCAAqD;AACrD,oCAAoD;AACpD,mCAAmD;AACnD,mCAAmD;AACnD,mCAAmD;AACnD,wCAAwD;AACxD,qCAAqD;AAAA;AAAA;AAGhD,eAAe,UAAuB;AAE3C,aAAW,WAAS,OAAO,KAAK,SAAS;AAAS,aAAS,OAAO,WAAS;AAAA;AAI7E,sBAA2B,UAAgC;AA/D3D;AAgEE,MAAI,IAAI;AAAS,UAAM;AACvB,MAAI,SAAS,OAAO,KAAK,SAAS;AAChC,QAAI,CAAC,SAAS,OAAO,YAAY,sBAAS,OAAO,KAAK,aAArB,mBAA+B,cAA/B,mBAA0C,SAAS;AAAe,OAAC,SAAS,OAAO,UAAU,SAAS,OAAO,gBAAgB,MAAM,AAAS,OAAK,SAAS;AAC3L,QAAI,CAAC,SAAS,OAAO,gBAAgB,SAAS,OAAO,KAAK,aAAa,sBAAS,OAAO,KAAK,aAArB,mBAA+B,cAA/B,mBAA0C,SAAS;AAAe,OAAC,SAAS,OAAO,UAAU,SAAS,OAAO,gBAAgB,MAAM,AAAS,OAAK,SAAS;AAAA;AAEnO,MAAI,SAAS,OAAO,KAAK,WAAW,CAAC,SAAS,OAAO,aAAa,sBAAS,OAAO,SAAhB,mBAAsB,cAAtB,mBAAiC,SAAS;AAAc,aAAS,OAAO,YAAY,AAAU,SAAS,SAAS;AAClL,MAAI,SAAS,OAAO,KAAK,WAAW,CAAC,SAAS,OAAO,mBAAmB,gBAAS,OAAO,KAAK,aAArB,mBAA+B,cAAa,sBAAS,OAAO,SAAhB,mBAAsB,cAAtB,mBAAiC,SAAS;AAAc,aAAS,OAAO,kBAAkB,AAAU,WAAW,SAAS;AAC5O,MAAI,SAAS,OAAO,KAAK,WAAW,CAAC,SAAS,OAAO,iBAAiB,sBAAS,OAAO,SAAhB,mBAAsB,cAAtB,mBAAiC,SAAS;AAAkB,aAAS,OAAO,gBAAgB,AAAc,MAAK,SAAS;AAC9L,MAAI,SAAS,OAAO,KAAK,WAAW,CAAC,SAAS,OAAO,iBAAiB,sBAAS,OAAO,SAAhB,mBAAsB,cAAtB,mBAAiC,SAAS;AAAkB,aAAS,OAAO,gBAAgB,AAAc,MAAK,SAAS;AAC9L,MAAI,SAAS,OAAO,KAAK,WAAW,CAAC,SAAS,OAAO,WAAW,sBAAS,OAAO,SAAhB,mBAAsB,cAAtB,mBAAiC,SAAS;AAAY,aAAS,OAAO,UAAU,AAAQ,OAAK,SAAS;AACtK,MAAI,SAAS,OAAO,KAAK,WAAW,CAAC,SAAS,OAAO,WAAW,sBAAS,OAAO,SAAhB,mBAAsB,cAAtB,mBAAiC,SAAS;AAAY,aAAS,OAAO,UAAU,AAAQ,OAAK,SAAS;AACtK,MAAI,SAAS,OAAO,KAAK,WAAW,CAAC,SAAS,OAAO;AAAY,aAAS,OAAO,aAAa,AAAU,MAAK,SAAS;AACtH,MAAI,SAAS,OAAO,KAAK,WAAW,gBAAS,OAAO,KAAK,cAArB,mBAAgC,YAAW,CAAC,SAAS,OAAO;AAAW,aAAS,OAAO,YAAY,AAAU,MAAK,SAAS;AAC/J,MAAI,SAAS,OAAO,KAAK,WAAW,gBAAS,OAAO,KAAK,aAArB,mBAA+B,YAAW,CAAC,SAAS,OAAO;AAAU,aAAS,OAAO,WAAW,AAAS,OAAK,SAAS;AAC3J,MAAI,SAAS,OAAO,KAAK,WAAW,gBAAS,OAAO,KAAK,gBAArB,mBAAkC,YAAW,CAAC,SAAS,OAAO;AAAS,aAAS,OAAO,UAAU,AAAQ,MAAK,SAAS;AAC3J,MAAI,SAAS,OAAO,KAAK,WAAW,gBAAS,OAAO,KAAK,YAArB,mBAA8B,YAAW,CAAC,SAAS,OAAO;AAAS,aAAS,OAAO,UAAU,AAAQ,MAAK,SAAS;AACvJ,MAAI,SAAS,OAAO,KAAK,WAAW,gBAAS,OAAO,KAAK,SAArB,mBAA2B,YAAW,CAAC,SAAS,OAAO;AAAU,aAAS,OAAO,WAAW,AAAK,MAAK,SAAS;AACnJ,MAAI,SAAS,OAAO,KAAK,WAAW,gBAAS,OAAO,KAAK,SAArB,mBAA2B,YAAW,CAAC,SAAS,OAAO;AAAU,aAAS,OAAO,WAAW,AAAS,MAAK,SAAS;AACvJ,MAAI,SAAS,OAAO,KAAK,WAAW,gBAAS,OAAO,KAAK,qBAArB,mBAAuC,YAAW,CAAC,SAAS,OAAO;AAAe,aAAS,OAAO,gBAAgB,AAAc,KAAK,SAAS;AAClL,MAAI,SAAS,OAAO,KAAK,WAAW,CAAC,SAAS,OAAO,aAAa,sBAAS,OAAO,KAAK,aAArB,mBAA+B,cAA/B,mBAA0C,SAAS;AAAc,aAAS,OAAO,YAAY,AAAU,YAAW,SAAS;AAC7L,MAAI,SAAS,OAAO,KAAK,WAAW,SAAS,OAAO,KAAK,aAAa,CAAC,SAAS,OAAO,gBAAgB,sBAAS,OAAO,KAAK,aAArB,mBAA+B,cAA/B,mBAA0C,SAAS;AAAc,aAAS,OAAO,eAAe,AAAU,aAAa,SAAS;AACvO,MAAI,SAAS,OAAO,OAAO,WAAW,CAAC,SAAS,OAAO,aAAa,sBAAS,OAAO,WAAhB,mBAAwB,cAAxB,mBAAmC,SAAS;AAAc,aAAS,OAAO,YAAY,AAAU,MAAK,SAAS;AAClL,MAAI,SAAS,OAAO,OAAO,WAAW,CAAC,SAAS,OAAO,WAAW,sBAAS,OAAO,WAAhB,mBAAwB,cAAxB,mBAAmC,SAAS;AAAY,aAAS,OAAO,UAAU,AAAQ,OAAK,SAAS;AAC1K,MAAI,SAAS,OAAO,aAAa,WAAW,CAAC,SAAS,OAAO;AAAc,aAAS,OAAO,eAAe,AAAa,OAAK,SAAS;AAGrI,mBAAiB,WAAS,OAAO,KAAK,SAAS,SAAS;AACtD,QAAI,SAAS,OAAO,YAAU,OAAO,SAAS,OAAO,aAAW;AAAa,eAAS,OAAO,WAAS,MAAM,SAAS,OAAO;AAAA;AAAA;AAIhI,yBAA+B,UAAgC;AAE7D,QAAM,YAAY,CAAC,SAAS,eAAe,QAAQ,OAAO,WAAW,OAAO,OAAO,OAAO;AAC1F,aAAW,WAAW,OAAO,KAAK,SAAS,SAAS;AAClD,QAAI,SAAS,OAAO,UAAU;AAC5B,UAAI,UAAuB;AAC3B,UAAI,MAAM,QAAQ,SAAS,OAAO,WAAW;AAC3C,kBAAS,SAAS,OAAO,SACtB,OAAO,CAAC,YAAW,YAAU,MAC7B,IAAI,CAAC,YAAY,WAAS,QAAM,WAAY,UAAQ,QAAM;AAAA,aACxD;AACL,kBAAS,CAAC,SAAS,OAAO;AAAA;AAE5B,iBAAW,WAAS,SAAQ;AAC1B,YAAI,CAAC,SAAO;AACV,cAAI,SAAS,OAAO;AAAO,gBAAI,2CAA2C;AAC1E;AAAA;AAEF,cAAM,MAAgB;AAEtB,cAAM,WAAW,mCAAO;AACxB,YAAI,YAAY,SAAS,MAAM,OAAO;AACpC,qBAAW,UAAU,OAAO,OAAO,SAAS,MAAM,QAAQ;AACxD,kBAAM,KAAM,OAAc,GAAG;AAC7B,gBAAI,CAAC,IAAI,SAAS;AAAK,kBAAI,KAAK;AAAA;AAAA,eAE7B;AACL,cAAI,CAAC,YAAY,SAAS,OAAO;AAAO,gBAAI,mCAAmC;AAAA;AAEjF,cAAM,UAAoB;AAC1B,mBAAW,MAAM,KAAK;AACpB,cAAI,CAAC,UAAU,SAAS,OACnB,CAAC,SAAS,IAAI,QAAQ,SAAS,OAC/B,CAAC,SAAS,IAAI,QAAQ,SAAS,GAAG,QAAQ,KAAK,QAC/C,CAAC,SAAS,IAAI,QAAQ,SAAS,GAAG,QAAQ,UAAU,QACpD,CAAC,SAAS,IAAI,QAAQ,SAAS,GAAG,QAAQ,MAAM,MAAM;AACzD,oBAAQ,KAAK;AAAA;AAAA;AAIjB,YAAI,QAAQ,SAAS,KAAK,SAAS,OAAO;AAAO,cAAI,qBAAqB,SAAS;AAAA;AAAA;AAAA;AAAA;;;AC/HpF,IAAM,UAAS;AAAA,EACpB,MAAM;AAAA,EACN,UAAU;AAAA,EACV,QAAoD;AAAA,EACpD,IAAmC;AAAA,EACnC,YAAuB;AAAA,EACvB,WAAW;AAAA,IACT,OAAO;AAAA,IACP,WAAW;AAAA,IACX,oBAAoB;AAAA,IACpB,uBAAuB;AAAA,IACvB,OAAO;AAAA,IACP,SAAS;AAAA,IACT,8BAA8B;AAAA,IAC9B,gBAAgB;AAAA;AAAA;AAIpB,sBAA4B;AAK1B,QAAM,KAAK,QAAO;AAClB,MAAI,CAAC;AAAI;AACT,UAAO,aAAa,GAAG;AAAA;AASzB,wBAA+B,UAAyB;AA1CxD;AA4CE,MAAI,SAAS,OAAO,YAAY;AAAW;AAC3C,MAAK,QAAO,QAAQ,AAAG,0BAAS,YAAc,EAAC,QAAO,MAAM,CAAC,QAAO,GAAG,aAAa,QAAO,GAAG,WAAW;AACvG,QAAI;AACJ,IAAO,MAAM;AAAA;AAOf,MAAI,CAAC,AAAG,6BAAY,QAAO,OAAO;AAChC,QAAI;AACF,cAAO,SAAS,MAAM,AAAM,OAAO,KAAK;AAAA,aACjC,KAAP;AACA,UAAI,gCAAgC;AACpC;AAAA;AAEF,QAAI;AACF,cAAO,KAAK,cAAO,WAAP,mBAAe,WAAW,UAAU,QAAO;AACvD,YAAM,OAAO,QAAO,GAAG,aAAa,QAAO,GAAG,SAAS,SAAS;AAChE,UAAI,CAAC,MAAM;AACT,YAAI;AACJ,iBAAS,OAAO,UAAU;AAC1B;AAAA;AAEF,UAAI,QAAO,QAAQ;AACjB,gBAAO,OAAO,iBAAiB,oBAAoB,OAAO,MAAM;AAC9D,cAAI,mBAAmB,EAAE;AAEzB,cAAI;AACJ,mBAAS,KAAK;AACd,gBAAM,IAAI,MAAM;AAAA;AAOlB,gBAAO,OAAO,iBAAiB,wBAAwB,CAAC,MAAM;AAC5D,cAAI,oCAAoC;AAAA;AAE1C,gBAAO,OAAO,iBAAiB,6BAA6B,CAAC,MAAM;AACjE,cAAI,kCAAkC;AAAA;AAAA;AAAA,aAGnC,KAAP;AACA,UAAI,oCAAoC;AACxC;AAAA;AAEF,QAAI;AACF,MAAG,iCAAgB,GAAG,QAAO;AAAA,aACtB,KAAP;AACA,UAAI,oCAAoC;AACxC;AAAA;AAEF,QAAI;AACF,YAAM,MAAM,IAAO,8BAAa,QAAO;AACvC,MAAG,iCAAgB,QAAO,MAAM,MAAM,IAAO,kCAAiB,MAAM,QAAO;AAAA,aACpE,KAAP;AACA,UAAI,yCAAyC;AAC7C;AAAA;AAEF,QAAI;AACF,YAAM,UAAU,AAAG,sCAAqB;AACxC,cAAQ,QAAQ,CAAC,iBAAiB;AAChC,cAAM,kBAAkB,KAAK,cAAc,aAAa,QAAO;AAC/D,QAAG,gCAAe;AAAA;AAAA,aAEb,KAAP;AACA,UAAI,oDAAoD;AACxD;AAAA;AAEF,UAAM,UAAU,AAAG,2BAAU,kBAAkB,AAAG,2BAAU,kBAAkB,KAAK;AACnF,QAAI,SAAS;AACX,UAAI,yBAAyB,QAAQ,aAAa,QAAQ,qBAAqB,QAAQ,aAAa,QAAQ;AAAA,WACvG;AACL,UAAI,iCAAiC,SAAS,QAAO;AACrD;AAAA;AAEF,QAAI;AACF,MAAG,qBAAI,IAAI,iBAAiB;AAAA,aACrB,KAAP;AACA,UAAI,0CAA0C;AAC9C;AAAA;AAEF;AACA,QAAI,uBAAuB,QAAO;AAAA;AAAA;;;AC3HtC,6BAA6B;AAC3B,MAAI,CAAC,IAAI,QAAQ,SAAS,QAAQ;AAChC,UAAM,YAAY;AAAA,MAChB,YAAY;AAAA,MACZ,aAAa,AAAG;AAAA,MAChB,YAAY,CAAC,OAAO,AAAG,sBAAK,MAAM,AAAG,qBAAI,GAAG,OAAO,GAAG,AAAG,qBAAI,AAAG,qBAAI,GAAG,OAAO,GAAG,GAAG,OAAO,IAAI,GAAG,OAAO;AAAA;AAE3G,IAAG,gCAAe;AAClB,QAAI,QAAQ,KAAK;AAAA;AAEnB,MAAI,CAAC,IAAI,QAAQ,SAAS,aAAa;AACrC,UAAM,YAAY;AAAA,MAChB,YAAY;AAAA,MACZ,aAAa,AAAG;AAAA,MAChB,YAAY,CAAC,OAAO,AAAG,sBAAK,MAAM,AAAG,0BAAS,GAAG,OAAO,IAAI,GAAG,OAAO,KAAK,GAAG,OAAO,IAAI,AAAG,qBAAI,GAAG,OAAO,GAAG,GAAG,OAAO;AAAA;AAEzH,IAAG,gCAAe;AAClB,QAAI,QAAQ,KAAK;AAAA;AAAA;AAIrB,qBAA4B,UAAU,QAAQ,OAAO;AACnD,WAAS,QAAQ;AACjB,MAAI,SAAS,IAAI,WAAY,SAAS,OAAO,WAAY,SAAS,OAAO,QAAQ,SAAS,KAAO,AAAG,kCAAiB,SAAS,OAAO,SAAW;AAC9I,UAAM,YAAY;AAElB,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;AAAA;AAIjC,UAAI,IAAI,WAAW,SAAS,OAAO,YAAY,cAAc;AAC3D,YAAI,SAAS,OAAO;AAAO,cAAI;AAC/B,iBAAS,OAAO,UAAU;AAAA;AAE5B,UAAI,IAAI,QAAS,UAAS,OAAO,YAAY,WAAW,SAAS,OAAO,YAAY,YAAY;AAC9F,YAAI,SAAS,OAAO;AAAO,cAAI,4BAA4B,SAAS,OAAO;AAC3E,iBAAS,OAAO,UAAU;AAAA;AAI5B,UAAI,IAAI,WAAW,SAAS,OAAO,YAAY,UAAU;AACvD,YAAI,OAAO,cAAc,eAAe,OAAO,UAAU,WAAW,aAAa;AAC/E,cAAI;AACJ,mBAAS,OAAO,UAAU;AAAA,eACrB;AACL,gBAAM,UAAU,MAAM,UAAU,OAAO;AACvC,cAAI,SAAS,OAAO;AAAO,gBAAI,8BAA8B;AAAA;AAAA;AAKjE,UAAI,SAAS,OAAO,YAAY;AAAW,cAAM,AAAQ,SAAS;AAClE,YAAM,YAAY,OAAO,KAAK,AAAG,0BAAS;AAC1C,UAAI,SAAS,OAAO;AAAO,YAAI,uBAAuB;AAEtD,UAAI,CAAC,UAAU,SAAS,SAAS,OAAO,UAAU;AAChD,YAAI,kBAAkB,SAAS,OAAO;AACtC,iBAAS,OAAO,UAAU,IAAI,OAAO,eAAe;AACpD,YAAI,SAAS,OAAO;AAAO,cAAI,6BAA6B,SAAS,OAAO;AAAA;AAG9E,UAAI,SAAS,OAAO;AAAO,YAAI,oBAAoB,SAAS,OAAO;AAGnE,UAAI,SAAS,OAAO,YAAY,QAAQ;AACtC,YAAI,SAAS,OAAO;AAAO,cAAI,cAAc,SAAS,OAAO;AAC7D,YAAI,OAAO,sDAAI,kBAAiB;AAAa,gBAAM,AAAG,8BAAa,SAAS,OAAO;AAAA;AAC9E,gBAAM,IAAI,MAAM;AACrB,cAAM,OAAO,MAAM,AAAG,uBAAM,SAAS;AACrC,cAAM,KAAK,MAAM,AAAG,uBAAM,SAAS;AACnC,YAAI,SAAS,OAAO;AAAO,cAAI,mBAAmB,OAAO,SAAS,aAAa,KAAK,kBAAkB;AACtG,YAAI,SAAS,OAAO,SAAS,CAAC;AAAM,cAAI;AAAA;AAG1C,UAAI;AACF,cAAM,AAAG,4BAAW,SAAS,OAAO;AACpC,cAAM,AAAG;AAAA,eACF,KAAP;AACA,YAAI,8BAA8B,SAAS,OAAO,SAAS;AAC3D,eAAO;AAAA;AAAA;AAKX,QAAI,AAAG,kCAAiB,WAAW;AACjC,MAAG,qBAAI,IAAI,gCAAgC;AAC3C,MAAG,qBAAI,IAAI,qBAAqB;AAEhC,MAAG,qBAAI,IAAI,6BAA6B;AACxC,MAAG,qBAAI,IAAI,8BAA8B;AAEzC,UAAI,OAAO,SAAS,OAAO,kBAAkB,eAAe,SAAS,OAAO,eAAe;AACzF,YAAI,mDAAmD;AACvD,QAAG,qBAAI,IAAI,kCAAkC;AAAA;AAE/C,UAAI,AAAG,2BAAU,iBAAiB;AAChC,cAAM,KAAK,MAAM,AAAG,2BAAU,kBAAkB;AAChD,YAAI,SAAS,OAAO;AAAO,cAAI,cAAc,GAAG,aAAa,GAAG,qBAAqB,GAAG,aAAa,GAAG;AAAA;AAAA;AAK5G,QAAI,AAAG,kCAAiB,UAAU;AAAA;AAOlC,IAAG;AACH,UAAM,AAAG;AAET,aAAS,YAAY,cAAc,KAAK,MAAM,QAAQ;AACtD,aAAS,OAAO,UAAU,AAAG;AAE7B,UAAM,IAAI;AACV;AAAA;AAGF,SAAO;AAAA;AAIF,iBAAiB,aAA4B,SAAQ;AAE1D,aAAW,cAAc,aAAa;AACpC,UAAM,eAAe;AAAA,MACnB;AAAA,MACA,aAAa,QAAO;AAAA,MACpB,YAAY,MAAM;AAAE,YAAI,QAAO;AAAO,cAAI,cAAc,YAAY,QAAO;AAAA;AAAA;AAI7E,IAAG,gCAAe;AAAA;AAEpB,MAAI,UAAU,AAAG,sCAAqB,AAAG,+BAAc,IAAI,CAAC,WAAW,OAAO,WAAW;AAAA;;;AChGpF,IAAM,WAAuB;AAAA,EAClC,OAAe;AAAA,EACf,YAAoB;AAAA,EACpB,aAAqB;AAAA,EACrB,MAAc;AAAA,EACd,YAAoB;AAAA,EACpB,WAAmB;AAAA,EACnB,WAAmB;AAAA,EACnB,WAAmB;AAAA,EACnB,YAAqB;AAAA,EACrB,YAAqB;AAAA,EACrB,WAAoB;AAAA,EACpB,cAAuB;AAAA,EACvB,cAAuB;AAAA,EACvB,UAAmB;AAAA,EACnB,cAAuB;AAAA,EACvB,UAAmB;AAAA,EACnB,WAAoB;AAAA;AAGtB,IAAI,WAAW;AAEf,IAAM,mBAAmB,CAAC,UAAU;AAClC,MAAI,SAAS,MAAM;AAAY,WAAO,MAAM,WAAW;AACvD,QAAM,IAAI,MAAM;AAAA;AAGlB,IAAM,UAAU,CAAC,UAAU,KAAK,MAAO,QAAQ,MAAO,KAAK;AAE3D,eAAe,KAA+B,GAAG,GAAG,GAAG,cAAc;AACnE,MAAI,KAAK;AACT,MAAI,YAAY,aAAa,YAAY,IAAI,QAAQ,QAAS,IAAI,MAAO,QAAS,IAAI,iBAAkB,aAAa;AACrH,MAAI;AACJ,MAAI,IAAI,GAAG,GAAG,aAAa,WAAW,GAAG,IAAI,KAAK;AAClD,MAAI;AAAA;AAGN,cAAc,KAA+B,GAAG,GAAG,OAAO,QAAQ,cAAc;AAC9E,MAAI;AACJ,MAAI,aAAa,WAAW;AAC1B,UAAM,KAAM,KAAI,IAAI,SAAS;AAC7B,UAAM,KAAM,KAAI,IAAI,UAAU;AAC9B,QAAI,QAAQ,IAAI,IAAI,QAAQ,GAAG,SAAS,GAAG,GAAG,GAAG,IAAI,KAAK;AAAA,SACrD;AACL,QAAI,YAAY,aAAa;AAC7B,QAAI,OAAO,IAAI,aAAa,WAAW;AACvC,QAAI,OAAO,IAAI,QAAQ,aAAa,WAAW;AAC/C,QAAI,iBAAiB,IAAI,OAAO,GAAG,IAAI,OAAO,IAAI,aAAa;AAC/D,QAAI,OAAO,IAAI,OAAO,IAAI,SAAS,aAAa;AAChD,QAAI,iBAAiB,IAAI,OAAO,IAAI,QAAQ,IAAI,QAAQ,aAAa,WAAW,IAAI;AACpF,QAAI,OAAO,IAAI,aAAa,WAAW,IAAI;AAC3C,QAAI,iBAAiB,GAAG,IAAI,QAAQ,GAAG,IAAI,SAAS,aAAa;AACjE,QAAI,OAAO,GAAG,IAAI,aAAa;AAC/B,QAAI,iBAAiB,GAAG,GAAG,IAAI,aAAa,WAAW;AACvD,QAAI;AAAA;AAEN,MAAI;AAAA;AAGN,eAAe,KAA+B,QAAiB,cAAc;AAC3E,MAAI,OAAO,SAAS;AAAG;AACvB,MAAI;AACJ,MAAI,OAAO,OAAO,GAAG,IAAI,OAAO,GAAG;AACnC,aAAW,MAAM,QAAQ;AACvB,UAAM,IAAI,GAAG,MAAM;AACnB,QAAI,cAAc,aAAa,YAAY,MAAM,IAAI,QAAQ,QAAS,IAAI,MAAO,QAAS,IAAI,iBAAkB,aAAa;AAC7H,QAAI,YAAY,aAAa,YAAY,MAAM,IAAI,QAAQ,QAAS,IAAI,MAAO,QAAS,IAAI,iBAAkB,aAAa;AAC3H,QAAI,OAAO,GAAG,IAAI,KAAK,MAAM,GAAG;AAAA;AAElC,MAAI;AACJ,MAAI,aAAa,cAAc;AAC7B,QAAI;AACJ,QAAI;AAAA;AAAA;AAIR,gBAAgB,KAA+B,QAAiB,cAAc;AAC5E,MAAI,OAAO,SAAS;AAAG;AACvB,MAAI,CAAC,aAAa,aAAa,OAAO,UAAU,GAAG;AACjD,UAAM,KAAK,QAAQ;AACnB;AAAA;AAEF,MAAI,OAAO,OAAO,GAAG,IAAI,OAAO,GAAG;AACnC,WAAS,IAAI,GAAG,IAAI,OAAO,SAAS,GAAG,KAAK;AAC1C,UAAM,KAAM,QAAO,GAAG,KAAK,OAAO,IAAI,GAAG,MAAM;AAC/C,UAAM,KAAM,QAAO,GAAG,KAAK,OAAO,IAAI,GAAG,MAAM;AAC/C,QAAI,iBAAiB,OAAO,GAAG,IAAI,OAAO,GAAG,IAAI,IAAI;AAAA;AAEvD,MAAI,iBAAiB,OAAO,OAAO,SAAS,GAAG,IAAI,OAAO,OAAO,SAAS,GAAG,IAAI,OAAO,OAAO,SAAS,GAAG,IAAI,OAAO,OAAO,SAAS,GAAG;AACzI,MAAI;AACJ,MAAI,aAAa,cAAc;AAC7B,QAAI;AACJ,QAAI;AAAA;AAAA;AAIR,eAAe,KAA+B,MAAa,IAAW,SAAS,GAAG;AAChF,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI,OAAO,KAAK,IAAI,KAAK;AACzB,MAAI,OAAO,GAAG,IAAI,GAAG;AACrB,UAAQ,KAAK,MAAM,GAAG,KAAK,KAAK,IAAI,GAAG,KAAK,KAAK;AACjD,MAAI,SAAS,KAAK,IAAI,SAAS,GAAG;AAClC,MAAI,SAAS,KAAK,IAAI,SAAS,GAAG;AAClC,MAAI,OAAO,GAAG;AACd,WAAU,IAAM,IAAQ,KAAI,KAAK;AACjC,MAAI,SAAS,KAAK,IAAI,SAAS,GAAG;AAClC,MAAI,SAAS,KAAK,IAAI,SAAS,GAAG;AAClC,MAAI,OAAO,GAAG;AACd,WAAU,IAAM,IAAQ,KAAI,KAAK;AACjC,MAAI,SAAS,KAAK,IAAI,SAAS,GAAG;AAClC,MAAI,SAAS,KAAK,IAAI,SAAS,GAAG;AAClC,MAAI,OAAO,GAAG;AACd,MAAI;AACJ,MAAI;AACJ,MAAI;AAAA;AAIN,uBAA8B,WAAqB,QAA8B,aAAoC;AACnH,QAAM,eAAe,UAAU,UAAS;AACxC,MAAI,CAAC,UAAU,CAAC;AAAU;AAC1B,MAAI,aAAa,cAAc;AAC7B,UAAM,MAAM,iBAAiB;AAC7B,QAAI,OAAO,aAAa;AACxB,QAAI,YAAY,aAAa;AAC7B,QAAI,IAAI;AACR,aAAS,IAAI,GAAG,IAAI,OAAO,QAAQ,KAAK;AACtC,UAAI,QAAmB;AACvB,UAAI,OAAkB;AACtB,OAAC,OAAO,QAAQ,OAAO,QAAQ,OAAO;AACtC,UAAK,KAAK,SAAS,KAAQ,KAAK,GAAc,SAAS,GAAI;AACzD,cAAM,MAAM,MAAM,KAAe,IAAI,IAAI,MAAM,OAAO;AACtD,cAAM,QAAQ,GAAG,MAAM,MAAM,QAAQ,KAAK;AAC1C,YAAI,aAAa,eAAe,aAAa,gBAAgB,IAAI;AAC/D,cAAI,YAAY,aAAa;AAC7B,cAAI,SAAS,OAAO,GAAG,IAAK,IAAI,aAAa;AAAA;AAE/C,YAAI,YAAY,aAAa;AAC7B,YAAI,SAAS,OAAO,GAAG,IAAK,IAAI,aAAa;AAC7C,aAAK;AAAA;AAAA;AAAA;AAAA;AAOb,oBAA2B,WAAqB,QAA2B,aAAoC;AAvM/G;AAwME,QAAM,eAAe,UAAU,UAAS;AACxC,MAAI,CAAC,UAAU,CAAC;AAAU;AAC1B,QAAM,MAAM,iBAAiB;AAC7B,aAAW,KAAK,QAAQ;AACtB,QAAI,OAAO,aAAa;AACxB,QAAI,cAAc,aAAa;AAC/B,QAAI,YAAY,aAAa;AAC7B,QAAI,aAAa;AAAW,WAAK,KAAK,EAAE,IAAI,IAAI,EAAE,IAAI,IAAI,EAAE,IAAI,IAAI,EAAE,IAAI,IAAI;AAC9E,QAAI,aAAa,YAAY;AAE3B,YAAM,UAAkB;AACxB,cAAO,KAAK,SAAS,KAAK,MAAM,MAAM,EAAE;AACxC,UAAI,EAAE;AAAa,gBAAO,KAAK,GAAG,EAAE,UAAU,MAAM,KAAK,MAAM,MAAM,EAAE;AACvE,UAAI,EAAE;AAAK,gBAAO,KAAK,QAAQ,EAAE,OAAO;AACxC,UAAI,EAAE;AAAM,gBAAO,KAAK,aAAa,EAAE;AACvC,UAAI,EAAE;AAAM,gBAAO,KAAK,SAAS,KAAK,MAAM,MAAM,EAAE;AACpD,UAAI,EAAE;AAAM,gBAAO,KAAK,SAAS,KAAK,MAAM,MAAM,EAAE;AACpD,UAAI,EAAE,WAAW,EAAE,QAAQ,SAAS,GAAG;AACrC,cAAM,WAAU,EAAE,QAAQ,IAAI,CAAC,MAAM,GAAG,KAAK,MAAM,MAAM,EAAE,WAAW,EAAE;AACxE,YAAI,SAAQ,SAAS;AAAG,mBAAQ,SAAS;AACzC,gBAAO,KAAK,SAAQ,KAAK;AAAA;AAE3B,UAAI,EAAE,YAAY,EAAE,SAAS,SAAS,EAAE,SAAS,MAAM;AACrD,YAAI,EAAE,SAAS,MAAM;AAAM,kBAAO,KAAK,SAAS,QAAQ,EAAE,SAAS,MAAM,iBAAc,QAAQ,EAAE,SAAS,MAAM,kBAAe,QAAQ,EAAE,SAAS,MAAM;AACxJ,YAAI,EAAE,SAAS,KAAK;AAAS,kBAAO,KAAK,SAAS,QAAQ,EAAE,SAAS,KAAK;AAAA;AAE5E,UAAI,QAAO,WAAW;AAAG,gBAAO,KAAK;AACrC,UAAI,YAAY,aAAa;AAC7B,eAAS,IAAI,QAAO,SAAS,GAAG,KAAK,GAAG,KAAK;AAC3C,cAAM,IAAI,KAAK,IAAI,EAAE,IAAI,IAAI;AAC7B,cAAM,IAAI,IAAI,aAAa,aAAa,EAAE,IAAI;AAC9C,YAAI,aAAa,eAAe,aAAa,gBAAgB,IAAI;AAC/D,cAAI,YAAY,aAAa;AAC7B,cAAI,SAAS,QAAO,IAAI,IAAI,GAAG,IAAI;AAAA;AAErC,YAAI,YAAY,aAAa;AAC7B,YAAI,SAAS,QAAO,IAAI,IAAI,GAAG,IAAI;AAAA;AAAA;AAGvC,QAAI,YAAY;AAChB,QAAI,EAAE,QAAQ,EAAE,KAAK,SAAS,GAAG;AAC/B,UAAI,aAAa,YAAY;AAC3B,mBAAW,MAAM,EAAE;AAAM,gBAAM,KAAK,GAAG,IAAI,GAAG,IAAI,GAAG,IAAI;AAAA;AAE3D,UAAI,aAAa,cAAc;AAC7B,YAAI,YAAY;AAChB,YAAI,EAAE,KAAK,SAAS,KAAK;AACvB,mBAAS,IAAI,GAAG,IAAI,OAAc,SAAS,GAAG,KAAK;AACjD,kBAAM,SAAS;AAAA,cACb,OAAc,IAAI,IAAI;AAAA,cACtB,OAAc,IAAI,IAAI;AAAA,cACtB,OAAc,IAAI,IAAI;AAAA,cACtB,IAAI,CAAC,WAAU,EAAE,KAAK;AACxB,kBAAM,KAAK,QAAQ;AAAA;AAAA;AAIvB,YAAI,EAAE,eAAe,EAAE,YAAY,kBAAkB,EAAE,YAAY,eAAe,IAAI;AACpF,cAAI,cAAc,aAAa,WAAW,6BAA6B,aAAa;AACpF,cAAI;AACJ,gBAAM,QAAQ,KAAK,IAAI,EAAE,YAAY,eAAe,GAAG,KAAK,EAAE,YAAY,eAAe,GAAG,MAAM;AAClG,gBAAM,QAAQ,KAAK,IAAI,EAAE,YAAY,eAAe,GAAG,KAAK,EAAE,YAAY,eAAe,GAAG,MAAM;AAClG,cAAI,QAAQ,EAAE,YAAY,eAAe,GAAG,IAAI,EAAE,YAAY,eAAe,GAAG,IAAI,OAAO,OAAO,GAAG,GAAG,IAAI,KAAK;AACjH,cAAI;AACJ,cAAI,aAAa,cAAc;AAC7B,gBAAI,YAAY,aAAa,WAAW,6BAA6B,aAAa;AAClF,gBAAI;AAAA;AAAA;AAGR,YAAI,EAAE,eAAe,EAAE,YAAY,mBAAmB,EAAE,YAAY,gBAAgB,IAAI;AACtF,cAAI,cAAc,aAAa,WAAW,6BAA6B,aAAa;AACpF,cAAI;AACJ,gBAAM,QAAQ,KAAK,IAAI,EAAE,YAAY,gBAAgB,GAAG,KAAK,EAAE,YAAY,gBAAgB,GAAG,MAAM;AACpG,gBAAM,QAAQ,KAAK,IAAI,EAAE,YAAY,gBAAgB,GAAG,KAAK,EAAE,YAAY,gBAAgB,GAAG,MAAM;AACpG,cAAI,QAAQ,EAAE,YAAY,gBAAgB,GAAG,IAAI,EAAE,YAAY,gBAAgB,GAAG,IAAI,OAAO,OAAO,GAAG,GAAG,IAAI,KAAK;AACnH,cAAI;AACJ,cAAI,aAAa,cAAc;AAC7B,gBAAI,YAAY,aAAa,WAAW,6BAA6B,aAAa;AAClF,gBAAI;AAAA;AAAA;AAGR,YAAI,aAAa,YAAY,SAAE,aAAF,mBAAY,UAAS,OAAO,WAAW,aAAa;AAC/E,cAAI,cAAc;AAClB,gBAAM,OAAQ,EAAE,IAAI,KAAK,EAAE,IAAI,KAAK,IAAM,EAAE,IAAI,KAAK,QAAQ,EAAE,SAAS,MAAM,OAAO;AACrF,gBAAM,OAAQ,EAAE,IAAI,KAAK,EAAE,IAAI,KAAK,IAAM,EAAE,IAAI,KAAK,QAAQ,EAAE,SAAS,MAAM,SAAS;AACvF,gBAAM,QAAQ,IAAI,OAAO;AAAA,gBACnB,EAAE,IAAI,KAAK,EAAE,IAAI,KAAK,KAAK,EAAE,IAAI;AAAA;AAAA,gBAEjC,QAAQ,EAAE,IAAI;AAAA,gBACd,QAAQ,EAAE,IAAI,KAAK,EAAE,IAAI;AAAA,gBACzB,EAAE,IAAI,KAAK,EAAE,IAAI,KAAK,KAAK,EAAE,IAAI,KAAK,EAAE,IAAI;AAAA;AAElD,gBAAM,QAAQ,IAAI,OAAO;AAAA,gBACnB,EAAE,IAAI,MAAM,EAAE,IAAI,KAAK,EAAE,IAAI,KAAK;AAAA;AAAA,gBAElC,EAAE,IAAI,MAAM;AAAA,gBACZ,EAAE,IAAI,KAAK,EAAE,IAAI,MAAM;AAAA,gBACvB,EAAE,IAAI,KAAK,EAAE,IAAI,MAAM,EAAE,IAAI,KAAK,EAAE,IAAI,KAAK;AAAA;AAEnD,cAAI,OAAO;AACX,cAAI,OAAO;AAAA;AAEb,YAAI,aAAa,YAAY,eAAE,aAAF,mBAAY,SAAZ,mBAAkB,aAAY,eAAE,aAAF,mBAAY,SAAZ,mBAAkB,YAAW,EAAE,YAAY,kBAAkB,EAAE,YAAY,mBAAmB,EAAE,YAAY,eAAe,MAAM,EAAE,YAAY,gBAAgB,IAAI;AAC5N,cAAI,cAAc;AAClB,cAAI,YAAY;AAChB,gBAAM,WAAW;AAAA,YACf,EAAE,YAAY,eAAe,GAAG,KAAM,KAAK,IAAI,EAAE,SAAS,KAAK,WAAW,EAAE,SAAS,KAAK,WAAW,EAAE,IAAI;AAAA,YAC3G,EAAE,YAAY,eAAe,GAAG,KAAM,KAAK,IAAI,EAAE,SAAS,KAAK,WAAW,EAAE,SAAS,KAAK,WAAW,EAAE,IAAI;AAAA;AAE7G,gBAAM,KAAK,CAAC,EAAE,YAAY,eAAe,GAAG,IAAI,EAAE,YAAY,eAAe,GAAG,KAAK,CAAC,SAAS,IAAI,SAAS,KAAK;AACjH,gBAAM,YAAY;AAAA,YAChB,EAAE,YAAY,gBAAgB,GAAG,KAAM,KAAK,IAAI,EAAE,SAAS,KAAK,WAAW,EAAE,SAAS,KAAK,WAAW,EAAE,IAAI;AAAA,YAC5G,EAAE,YAAY,gBAAgB,GAAG,KAAM,KAAK,IAAI,EAAE,SAAS,KAAK,WAAW,EAAE,SAAS,KAAK,WAAW,EAAE,IAAI;AAAA;AAE9G,gBAAM,KAAK,CAAC,EAAE,YAAY,gBAAgB,GAAG,IAAI,EAAE,YAAY,gBAAgB,GAAG,KAAK,CAAC,UAAU,IAAI,UAAU,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAQ/H,oBAA2B,WAAqB,QAA2B,aAAoC;AAlU/G;AAmUE,QAAM,eAAe,UAAU,UAAS;AACxC,MAAI,CAAC,UAAU,CAAC;AAAU;AAC1B,QAAM,MAAM,iBAAiB;AAC7B,MAAI,WAAW;AACf,WAAS,IAAI,GAAG,IAAI,OAAO,QAAQ,KAAK;AACtC,QAAI,cAAc,aAAa;AAC/B,QAAI,YAAY,aAAa;AAC7B,QAAI,YAAY,aAAa;AAC7B,QAAI,OAAO,aAAa;AACxB,QAAI,aAAa,aAAa,OAAO,GAAG,OAAO,cAAO,GAAG,QAAV,mBAAe,YAAW,GAAG;AAC1E,WAAK,KAAK,OAAO,GAAG,IAAI,IAAI,OAAO,GAAG,IAAI,IAAI,OAAO,GAAG,IAAI,IAAI,OAAO,GAAG,IAAI,IAAI;AAClF,UAAI,aAAa,YAAY;AAC3B,YAAI,aAAa,eAAe,aAAa,gBAAgB,IAAI;AAC/D,cAAI,YAAY,aAAa;AAC7B,cAAI,SAAS,QAAQ,MAAM,OAAO,GAAG,UAAU,OAAO,GAAG,IAAI,KAAK,GAAG,IAAI,OAAO,GAAG,IAAI,KAAK,aAAa,YAAY,OAAO,GAAG,IAAI;AAAA;AAErI,YAAI,YAAY,aAAa;AAC7B,YAAI,SAAS,QAAQ,MAAM,OAAO,GAAG,UAAU,OAAO,GAAG,IAAI,KAAK,GAAG,IAAI,OAAO,GAAG,IAAI,KAAK,aAAa,YAAY,OAAO,GAAG,IAAI;AAAA;AAAA;AAGvI,QAAI,aAAa,cAAc,OAAO,GAAG,WAAW;AAClD,eAAS,KAAK,GAAG,KAAK,OAAO,GAAG,UAAU,QAAQ,MAAM;AACtD,YAAI,YAAY,aAAa,YAAY,OAAO,GAAG,UAAU,IAAI,SAAS,KAAK,QAAQ,QAAS,IAAK,QAAO,GAAG,UAAU,IAAI,SAAS,MAAM,OAAQ,QAAS,IAAK,QAAO,GAAG,UAAU,IAAI,SAAS,MAAM,kBAAmB,aAAa;AACzO,cAAM,KAAK,OAAO,GAAG,UAAU,IAAI,SAAS,IAAI,OAAO,GAAG,UAAU,IAAI,SAAS,IAAI,GAAG;AAAA;AAAA;AAG5F,QAAI,aAAa,cAAc,OAAO,GAAG,WAAW;AAClD,UAAI,OAAO,aAAa;AACxB,iBAAW,MAAM,OAAO,GAAG,WAAW;AACpC,YAAI,YAAY,aAAa,YAAY,GAAG,SAAS,KAAK,QAAQ,QAAS,IAAI,GAAG,SAAS,OAAQ,QAAS,IAAI,GAAG,SAAS,kBAAmB,aAAa;AAC5J,YAAI,SAAS,GAAG,GAAG,QAAQ,KAAK,MAAM,MAAM,GAAG,WAAW,GAAG,SAAS,KAAK,GAAG,GAAG,SAAS,KAAK;AAAA;AAAA;AAGnG,QAAI,aAAa,gBAAgB,OAAO,GAAG,aAAa,OAAO,GAAG,aAAa;AAC7E,iBAAW,QAAQ,OAAO,OAAO,OAAO,GAAG,cAAc;AACvD,mBAAW,cAAa;AAAM,iBAAO,KAAK,YAAW;AAAA;AAAA;AAAA;AAAA;AAO7D,oBAA2B,WAAqB,QAA2B,aAAoC;AAC7G,QAAM,eAAe,UAAU,UAAS;AACxC,MAAI,CAAC,UAAU,CAAC;AAAU;AAC1B,QAAM,MAAM,iBAAiB;AAC7B,MAAI,WAAW;AACf,MAAI,OAAO,aAAa;AACxB,aAAW,KAAK,QAAQ;AACtB,QAAI,aAAa,WAAW;AAC1B,UAAI,cAAc,aAAa;AAC/B,UAAI,YAAY,aAAa;AAC7B,WAAK,KAAK,EAAE,IAAI,IAAI,EAAE,IAAI,IAAI,EAAE,IAAI,IAAI,EAAE,IAAI,IAAI;AAClD,UAAI,aAAa,YAAY;AAC3B,YAAI,aAAa,eAAe,aAAa,gBAAgB,IAAI;AAC/D,cAAI,YAAY,aAAa;AAC7B,cAAI,SAAS,QAAQ,KAAK,MAAM,MAAM,EAAE,WAAW,EAAE,IAAI,KAAK,GAAG,IAAI,EAAE,IAAI,KAAK,aAAa,YAAY,EAAE,IAAI;AAAA;AAEjH,YAAI,YAAY,aAAa;AAC7B,YAAI,SAAS,QAAQ,KAAK,MAAM,MAAM,EAAE,WAAW,EAAE,IAAI,KAAK,GAAG,IAAI,EAAE,IAAI,KAAK,aAAa,YAAY,EAAE,IAAI;AAAA;AAEjH,UAAI;AAAA;AAEN,QAAI,aAAa,YAAY;AAC3B,UAAI,EAAE,aAAa,EAAE,UAAU,SAAS,GAAG;AACzC,mBAAW,MAAM,EAAE,WAAW;AAC5B,cAAI,YAAY,aAAa,WAAW,QAAQ,QAAS,IAAK,IAAG,MAAM,OAAQ,QAAS,IAAK,IAAG,MAAM,kBAAmB,aAAa;AACtI,gBAAM,KAAK,GAAG,IAAI,GAAG,IAAI,GAAG;AAAA;AAAA;AAAA;AAIlC,QAAI,aAAa,cAAc,EAAE,aAAa;AAC5C,YAAM,eAAe,CAAC,MAAM,UAAU;AACpC,YAAI,CAAC,QAAQ,KAAK,WAAW,KAAK,CAAC,KAAK;AAAI;AAC5C,YAAI,YAAY,aAAa,WAAW,QAAQ,QAAS,IAAI,KAAK,KAAK,SAAS,GAAG,OAAQ,QAAS,IAAI,KAAK,KAAK,SAAS,GAAG,kBAAmB,aAAa;AAC9J,YAAI,SAAS,OAAO,KAAK,KAAK,SAAS,GAAG,KAAK,GAAG,KAAK,KAAK,SAAS,GAAG,KAAK;AAAA;AAE/E,UAAI,OAAO,aAAa;AACxB,mBAAa,EAAE,YAAY,UAAU;AACrC,mBAAa,EAAE,YAAY,WAAW;AACtC,mBAAa,EAAE,YAAY,SAAS;AACpC,mBAAa,EAAE,YAAY,UAAU;AACrC,mBAAa,EAAE,YAAY,UAAU;AACrC,mBAAa,EAAE,YAAY,SAAS;AAAA;AAEtC,QAAI,aAAa,gBAAgB,EAAE,aAAa;AAC9C,YAAM,cAAc,CAAC,SAAS;AAC5B,YAAI,CAAC,QAAQ,KAAK,WAAW,KAAK,CAAC,KAAK;AAAI;AAC5C,iBAAS,IAAI,GAAG,IAAI,KAAK,QAAQ,KAAK;AACpC,cAAI;AACJ,cAAI,cAAc,aAAa,WAAW,QAAQ,QAAS,IAAI,KAAK,GAAG,OAAQ,QAAS,IAAI,KAAK,GAAG,kBAAmB,aAAa;AACpI,cAAI,OAAO,KAAK,IAAI,IAAI,IAAI,IAAI,GAAG,IAAI,KAAK,IAAI,IAAI,IAAI,IAAI,GAAG;AAC/D,cAAI,OAAO,KAAK,GAAG,IAAI,KAAK,GAAG;AAC/B,cAAI;AAAA;AAAA;AAGR,UAAI,YAAY,aAAa;AAC7B,kBAAY,EAAE,YAAY;AAC1B,kBAAY,EAAE,YAAY;AAC1B,kBAAY,EAAE,YAAY;AAC1B,kBAAY,EAAE,YAAY;AAC1B,kBAAY,EAAE,YAAY;AAAA;AAAA;AAAA;AAOhC,sBAA6B,WAAqB,QAA6B,aAAoC;AACjH,QAAM,eAAe,UAAU,UAAS;AACxC,MAAI,CAAC,UAAU,CAAC;AAAU;AAC1B,QAAM,MAAM,iBAAiB;AAC7B,MAAI,WAAW;AACf,MAAI,OAAO,aAAa;AACxB,aAAW,KAAK,QAAQ;AACtB,QAAI,aAAa,WAAW;AAC1B,UAAI,cAAc,aAAa;AAC/B,UAAI,YAAY,aAAa;AAC7B,WAAK,KAAK,EAAE,IAAI,IAAI,EAAE,IAAI,IAAI,EAAE,IAAI,IAAI,EAAE,IAAI,IAAI;AAClD,UAAI,aAAa,YAAY;AAC3B,cAAM,QAAQ,GAAG,EAAE,SAAS,KAAK,MAAM,MAAM,EAAE;AAC/C,YAAI,aAAa,eAAe,aAAa,gBAAgB,IAAI;AAC/D,cAAI,YAAY,aAAa;AAC7B,cAAI,SAAS,OAAO,EAAE,IAAI,KAAK,GAAG,IAAI,EAAE,IAAI,KAAK,aAAa,YAAY,EAAE,IAAI;AAAA;AAElF,YAAI,YAAY,aAAa;AAC7B,YAAI,SAAS,OAAO,EAAE,IAAI,KAAK,GAAG,IAAI,EAAE,IAAI,KAAK,aAAa,YAAY,EAAE,IAAI;AAAA;AAElF,UAAI;AAAA;AAAA;AAAA;AAMV,sBAA6B,WAAqB,QAA6B,aAAoC;AACjH,QAAM,eAAe,UAAU,UAAS;AACxC,MAAI,CAAC,UAAU,CAAC;AAAU;AAC1B,QAAM,MAAM,iBAAiB;AAC7B,MAAI,WAAW;AACf,MAAI,OAAO,aAAa;AAExB,WAAS,IAAI,GAAG,IAAI,OAAO,QAAQ,KAAK;AACtC,QAAI,aAAa,WAAW;AAC1B,UAAI,cAAc,aAAa;AAC/B,UAAI,YAAY,aAAa;AAC7B,WAAK,KAAK,OAAO,GAAG,IAAI,IAAI,OAAO,GAAG,IAAI,IAAI,OAAO,GAAG,IAAI,IAAI,OAAO,GAAG,IAAI,IAAI;AAClF,UAAI,aAAa,YAAY;AAC3B,cAAM,QAAQ,WAAW;AACzB,YAAI,aAAa,eAAe,aAAa,gBAAgB,IAAI;AAC/D,cAAI,YAAY,aAAa;AAC7B,cAAI,SAAS,OAAO,OAAO,GAAG,IAAI,KAAK,GAAG,IAAI,OAAO,GAAG,IAAI,KAAK,aAAa,YAAY,OAAO,GAAG,IAAI;AAAA;AAE1G,YAAI,YAAY,aAAa;AAC7B,YAAI,SAAS,OAAO,OAAO,GAAG,IAAI,KAAK,GAAG,IAAI,OAAO,GAAG,IAAI,KAAK,aAAa,YAAY,OAAO,GAAG,IAAI;AAAA;AAE1G,UAAI;AAAA;AAAA;AAAA;AAMV,uBAA6B,OAA2E,QAA2B;AACjI,MAAI,CAAC,SAAS,CAAC;AAAQ;AACvB,QAAM,MAAM,iBAAiB;AAC7B,MAAI,UAAU,OAAO,GAAG;AAAA;AAM1B,mBAA0B,WAAqB,QAAgB,aAAoC;AACjG,MAAI,CAAC,UAAU,CAAC,OAAO,eAAe,CAAC,UAAU,CAAC;AAAU,WAAO;AACnE,QAAM,YAAY;AAClB,QAAM,eAAe,UAAU,UAAS;AACxC,QAAM,UAAU,QAAQ,IAAI;AAAA,IAC1B,KAAK,WAAU,OAAO,MAAM;AAAA,IAC5B,KAAK,WAAU,OAAO,MAAM;AAAA,IAC5B,KAAK,WAAU,OAAO,MAAM;AAAA,IAC5B,OAAO,WAAU,OAAO,QAAQ;AAAA,IAChC,QAAQ,WAAU,OAAO,SAAS;AAAA;AAGpC,aAAW,IAAI,UAAU,WAAW,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AACvF,SAAO,YAAY,OAAO;AAC1B,SAAO;AAAA;;;ACxfT,IAAM,gBAAgB,CAAC,UAAgD;AACrE,QAAM,UAAU,CAAC,KAAK,QAAQ,KAAK,MAAM,IAAI,KAAK,IAAI,IAAI,IAAI,KAAK,IAAI;AACvE,MAAI,CAAC,MAAK,YAAY,mBAAmB,CAAC,MAAK,YAAY;AAAgB,WAAO,EAAE,SAAS,GAAG,UAAU;AAE1G,QAAM,aAAa,CAAC,GAAG;AACvB,QAAM,WAAW;AAEjB,QAAM,OAAO,MAAK,KAAK,IAAI,KAAK,MAAK,KAAK,KAAK;AAC/C,QAAM,aAAa,OAAO,MAAK,KAAK,OAAO,MAAK,KAAK;AACrD,QAAM,YAAY,OACd,CAAE,OAAK,KAAK,KAAK,KAAK,MAAK,KAAK,IAAI,MAAM,GAAI,OAAK,KAAK,KAAK,KAAK,MAAK,KAAK,IAAI,MAAM,KACtF,CAAE,OAAK,KAAK,KAAK,KAAK,MAAK,KAAK,KAAK,MAAM,GAAI,OAAK,KAAK,KAAK,KAAK,MAAK,KAAK,KAAK,MAAM;AAC5F,QAAM,UAAU,OACZ,CAAC,MAAK,KAAK,KAAK,KAAK,MAAK,KAAK,IAAI,IAAI,MAAK,KAAK,IAAI,KAAK,MAAK,KAAK,IAAI,MACxE,CAAC,MAAK,KAAK,KAAK,KAAK,MAAK,KAAK,KAAK,IAAI,MAAK,KAAK,KAAK,KAAK,MAAK,KAAK,KAAK;AAE/E,QAAM,UAAU;AAAA,IACb,WAAU,KAAK,WAAW,MAAM,QAAQ,KAAK,WAAW;AAAA,IACzD,WAAY,YAAW,KAAK,UAAU,MAAM,QAAQ,KAAK,WAAW;AAAA;AAEtE,MAAI,WAAW,KAAK,KAAM,QAAQ,MAAM,IAAM,QAAQ,MAAM;AAC5D,aAAW,KAAK,IAAI,UAAU,MAAK,OAAO,KAAK,GAAG,MAAK,OAAO,KAAK;AACnE,QAAM,UAAW,SAAQ,CAAC,GAAG,IAAI,WAAY,KAAK,KAAK,KAAM,KAAK;AAElE,SAAO,EAAE,SAAS;AAAA;AAGb,IAAM,qBAAqB,CAAC,OAAM,cAIpC;AAEH,QAAM,YAAY,CAAC,MAAM;AACvB,UAAM,SAAS,KAAK,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE;AAC9D,MAAE,MAAM;AACR,MAAE,MAAM;AACR,MAAE,MAAM;AACR,WAAO;AAAA;AAET,QAAM,aAAa,CAAC,GAAG,MAAM;AAC3B,UAAM,IAAI,EAAE,KAAK,EAAE;AACnB,UAAM,IAAI,EAAE,KAAK,EAAE;AACnB,UAAM,IAAI,EAAE,KAAK,EAAE;AACnB,WAAO,CAAC,GAAG,GAAG;AAAA;AAEhB,QAAM,eAAe,CAAC,GAAG,MAAM;AAC7B,UAAM,IAAI,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE;AACjC,UAAM,IAAI,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE;AACjC,UAAM,IAAI,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE;AACjC,WAAO,CAAC,GAAG,GAAG;AAAA;AAGhB,QAAM,6BAA6B,CAAC,MAAM;AAExC,UAAM,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,OAAO;AACtD,QAAI;AACJ,QAAI;AACJ,QAAI;AACJ,QAAI,MAAM,GAAG;AACX,UAAI,MAAM,IAAI;AACZ,iBAAS,KAAK,KAAK;AACnB,iBAAS,KAAK,MAAM,CAAC,KAAK;AAC1B,iBAAS,KAAK,MAAM,CAAC,KAAK;AAAA,aACrB;AACL,iBAAS,CAAC,KAAK,KAAK;AACpB,iBAAS,CAAC,KAAK,MAAM,KAAK;AAC1B,iBAAS;AAAA;AAAA,WAEN;AACL,eAAS,KAAK,KAAK;AACnB,eAAS,KAAK,MAAM,KAAK;AACzB,eAAS;AAAA;AAEX,QAAI,MAAM;AAAS,eAAS;AAC5B,QAAI,MAAM;AAAS,eAAS;AAC5B,QAAI,MAAM;AAAS,eAAS;AAC5B,WAAO,EAAE,OAAO,IAAI,CAAC,QAAQ,KAAK,IAAI,CAAC,QAAQ,MAAM,IAAI,CAAC;AAAA;AAI5D,QAAM,mBAAmB,CAAC,UAAS;AACjC,UAAM,UAAU,CAAC,IAAI,IAAI,IAAI,OAAO,KAAK,MAAM,KAAK,IAAI,KAAK;AAE7D,UAAM,SAAQ;AAAA,MAGZ,OAAO,QAAQ,MAAK,IAAI,IAAI,MAAK,IAAI,IAAI,MAAK,KAAK,IAAI,MAAK,KAAK;AAAA,MAEjE,KAAK,QAAQ,MAAK,IAAI,IAAI,MAAK,IAAI,IAAI,MAAK,KAAK,IAAI,MAAK,KAAK;AAAA,MAE/D,MAAM,QAAQ,MAAK,IAAI,IAAI,MAAK,IAAI,IAAI,MAAK,KAAK,IAAI,MAAK,KAAK;AAAA;AAElE,WAAO;AAAA;AAIT,QAAM,OAAO,MAAK;AAClB,MAAI,CAAC,QAAQ,KAAK,SAAS;AAAK,WAAO,EAAE,OAAO,EAAE,OAAO,GAAG,KAAK,GAAG,MAAM,KAAK,QAAQ,CAAC,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,IAAI,MAAM,EAAE,SAAS,GAAG,UAAU;AAElJ,QAAM,QAAO,KAAK,IAAI,MAAK,OAAO,KAAK,UAAU,IAAI,MAAK,OAAO,KAAK,UAAU,MAAM;AAEtF,QAAM,MAAM,CAAC,KAAK,KAAK,KAAK,MAAM,KAAK,MAAM,KAAK,MAAM,IAAI,CAAC,OAAO;AAAA,IAElE,GAAG,KAAK,UAAU,KAAK;AAAA,IACvB,GAAG,KAAK,UAAU,KAAK;AAAA,IACvB,GAAG;AAAA;AAGL,QAAM,SAAS,UAAU,WAAW,IAAI,IAAI,IAAI;AAChD,MAAI,SAAS,UAAU,WAAW,IAAI,IAAI,IAAI;AAC9C,QAAM,SAAS,UAAU,aAAa,QAAQ;AAE9C,WAAS,aAAa,QAAQ;AAI9B,QAAM,SAAmF;AAAA,IACvF,OAAO;AAAA,IAAI,OAAO;AAAA,IAAI,OAAO;AAAA,IAC7B,OAAO;AAAA,IAAI,OAAO;AAAA,IAAI,OAAO;AAAA,IAC7B,OAAO;AAAA,IAAI,OAAO;AAAA,IAAI,OAAO;AAAA;AAE/B,QAAM,QAAQ,2BAA2B;AAIzC,QAAM,OAAO,KAAK,WAAW,MAAM,cAAc,SAAQ,EAAE,SAAS,GAAG,UAAU;AAEjF,SAAO,EAAE,OAAO,QAAQ;AAAA;;;AClHnB,IAAM,aAAa,OAAO,QAAgC,UAAyC;AAjB1G;AAoBE,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,QAAM,UAA6B;AACnC,SAAO,QAAQ;AACf,cAAY;AAEZ,QAAM,QAAQ,MAAM,AAAS,SAAQ,OAAO,OAAO;AACnD,SAAO,YAAY,OAAO,IAAI,UAAW,QAAO,YAAY,QAAQ,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAC5H,MAAI,CAAC,MAAM,SAAS,MAAM,MAAM,WAAW;AAAG,WAAO;AACrD,MAAI,CAAC;AAAO,WAAO;AAEnB,WAAS,IAAI,GAAG,IAAI,MAAM,QAAQ,KAAK;AACrC,WAAO,QAAQ;AAIf,QAAI,CAAC,MAAM,GAAG,UAAU,MAAM,GAAG,OAAO,uBAAuB;AAC7D,UAAI,4BAA4B,MAAM,GAAG;AACzC;AAAA;AAGF,UAAM,WAAW,mBAAmB,MAAM,IAAI,CAAC,MAAM,MAAM,IAAI,MAAM,MAAM;AAG3E,WAAO,QAAQ;AACf,QAAI,OAAO,OAAO,OAAO;AACvB,mBAAa,OAAO,OAAO,KAAK,QAAQ,UAAU,AAAQ,SAAQ,MAAM,GAAG,UAAU,AAAG,wBAAO,KAAK,OAAO,QAAQ,GAAG,MAAM,UAAU;AAAA,WACjI;AACL,aAAO,QAAQ;AACf,kBAAY;AACZ,mBAAa,OAAO,OAAO,KAAK,QAAQ,UAAU,MAAM,AAAQ,SAAQ,MAAM,GAAG,UAAU,AAAG,wBAAO,KAAK,OAAO,QAAQ,GAAG,MAAM,UAAU;AAC5I,aAAO,YAAY,UAAU,IAAI,UAAW,QAAO,YAAY,WAAW,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAAA;AAEpI,WAAO,QAAQ;AAGf,WAAO,QAAQ;AACf,QAAI,OAAO,OAAO,OAAO;AACvB,qBAAe,OAAO,OAAO,KAAK,UAAU,UAAU,AAAU,QAAQ,MAAM,GAAG,UAAU,AAAG,wBAAO,KAAK,OAAO,QAAQ,GAAG,MAAM,UAAU;AAAA,WACvI;AACL,aAAO,QAAQ;AACf,kBAAY;AACZ,qBAAe,OAAO,OAAO,KAAK,UAAU,UAAU,MAAM,AAAU,QAAQ,MAAM,GAAG,UAAU,AAAG,wBAAO,KAAK,OAAO,QAAQ,GAAG,MAAM,UAAU;AAClJ,aAAO,YAAY,YAAY,IAAI,UAAW,QAAO,YAAY,aAAa,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAAA;AAExI,WAAO,QAAQ;AAGf,WAAO,QAAQ;AACf,QAAI,OAAO,OAAO,OAAO;AACvB,oBAAc,OAAO,OAAO,KAAK,SAAS,UAAU,AAAS,UAAQ,MAAM,GAAG,UAAU,AAAG,wBAAO,KAAK,OAAO,QAAQ,GAAG,MAAM,UAAU;AAAA,WACpI;AACL,aAAO,QAAQ;AACf,kBAAY;AACZ,oBAAc,OAAO,OAAO,KAAK,SAAS,UAAU,MAAM,AAAS,UAAQ,MAAM,GAAG,UAAU,AAAG,wBAAO,KAAK,OAAO,QAAQ,GAAG,MAAM,UAAU;AAC/I,aAAO,YAAY,YAAY,IAAI,UAAW,QAAO,YAAY,aAAa,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAAA;AAExI,WAAO,QAAQ;AAiBf,WAAO,QAAQ;AACf,QAAI,OAAO,OAAO,OAAO;AACvB,gBAAU,OAAO,OAAO,KAAK,YAAY,UAAU,AAAQ,SAAQ,MAAM,GAAG,UAAU,AAAG,wBAAO,KAAK,OAAO,QAAQ,GAAG,MAAM,UAAU;AAAA,WAClI;AACL,aAAO,QAAQ;AACf,kBAAY;AACZ,gBAAU,OAAO,OAAO,KAAK,YAAY,UAAU,MAAM,AAAQ,SAAQ,MAAM,GAAG,UAAU,AAAG,wBAAO,KAAK,OAAO,QAAQ,GAAG,MAAM,UAAU;AAC7I,aAAO,YAAY,cAAc,IAAI,UAAW,QAAO,YAAY,eAAe,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAAA;AAE5I,WAAO,QAAQ;AAGf,QAAI,OAAO,OAAO,OAAO;AACvB,OAAC,QAAQ,WAAW,YAAY,cAAc,SAAS,SAAS,cAAc,eAAe,MAAM,QAAQ,IAAI,CAAC,QAAQ,WAAW,YAAY,cAAc,SAAS,SAAS,cAAc;AAAA;AAG/L,WAAO,QAAQ;AAIf,QAAI,CAAC,OAAO,OAAO,KAAK,KAAK,WAAW,mBAAM,OAAN,mBAAU,gBAAV,mBAAuB,gBAAe,mBAAM,OAAN,mBAAU,gBAAV,mBAAuB,eAAc;AACjH,aAAO,MAAM,GAAG,YAAY;AAC5B,aAAO,MAAM,GAAG,YAAY;AAAA;AAE9B,UAAM,WAAY,MAAM,GAAG,eAAe,MAAM,GAAG,YAAY,eAAe,MAAM,GAAG,YAAY,YAAY,MAAM,MAAM,GAAG,YAAY,gBAAgB,MAAM,GAAG,YAAY,aAAa,MACtL,MAAM,GAAG,YAAY,YAAY,SAAS,KAAO,MAAM,GAAG,YAAY,aAAa,SAAS,KAC5F,MAAM,GAAG,YAAY,YAAY,OAAO,QAAU,MAAM,GAAG,YAAY,aAAa,OAAO,OAC7F,KAAK,IAAI,KAAK,IAAI,MAAM,GAAG,YAAY,YAAY,GAAG,KAAK,MAAM,GAAG,YAAY,YAAY,GAAG,KAAK,KAAK,IAAI,MAAM,GAAG,YAAY,aAAa,GAAG,KAAK,MAAM,GAAG,YAAY,aAAa,GAAG,OAAO,MAAM,MAAM,KAC/M;AAGJ,UAAM,UAAS,OAAO,OAAO,KAAK,SAAS,SAAS,AAAG,yBAAQ,MAAM,GAAG,UAAU;AAElF,IAAG,yBAAQ,MAAM,GAAG;AAEpB,QAAI,MAAM,GAAG;AAAQ,aAAO,MAAM,GAAG;AAErC,YAAQ,KAAK;AAAA,SACR,MAAM;AAAA,MACT,IAAI;AAAA,MACJ,KAAK,mCAAS;AAAA,MACd,QAAQ,mCAAS;AAAA,MACjB,aAAa,mCAAS;AAAA,MACtB,WAAW,mCAAS;AAAA,MACpB,SAAS;AAAA,MACT,MAAM;AAAA,MACN,MAAM;AAAA,MACN,MAAM,aAAa,IAAI,KAAK,MAAM,MAAM,WAAW,QAAQ,MAAM;AAAA,MACjE;AAAA,MACA;AAAA;AAEF,WAAO,QAAQ;AAAA;AAEjB,SAAO,QAAQ;AACf,MAAI,OAAO,OAAO,OAAO;AACvB,QAAI,OAAO,YAAY;AAAM,aAAO,OAAO,YAAY;AACvD,QAAI,OAAO,YAAY;AAAK,aAAO,OAAO,YAAY;AACtD,QAAI,OAAO,YAAY;AAAQ,aAAO,OAAO,YAAY;AACzD,QAAI,OAAO,YAAY;AAAS,aAAO,OAAO,YAAY;AAAA;AAE5D,SAAO;AAAA;;;ACxHF,IAAM,QAAO,CAAC,QAAyB;AAC5C,MAAI,CAAC;AAAK,WAAO;AACjB,QAAM,WAA0D;AAChE,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AAEnC,UAAM,YAAY,IAAI,GAAG,UAAU,KAAK,CAAC,MAAO,EAAE,SAAS;AAC3D,UAAM,aAAa,IAAI,GAAG,UAAU,KAAK,CAAC,MAAO,EAAE,SAAS;AAC5D,UAAM,OAAO,IAAI,GAAG,UAAU,KAAK,CAAC,MAAO,EAAE,SAAS;AACtD,QAAI,QAAQ,aAAa,cAAe,UAAU,SAAS,KAAK,KAAK,SAAS,MAAQ,WAAW,SAAS,KAAK,KAAK,SAAS;AAAK,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AAAA,aAC3J,QAAQ,aAAc,UAAU,SAAS,KAAK,KAAK,SAAS;AAAK,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AAAA,aACnG,QAAQ,cAAe,WAAW,SAAS,KAAK,KAAK,SAAS;AAAK,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AAG9G,UAAM,eAAe,IAAI,GAAG,UAAU,KAAK,CAAC,MAAO,EAAE,SAAS;AAC9D,UAAM,gBAAgB,IAAI,GAAG,UAAU,KAAK,CAAC,MAAO,EAAE,SAAS;AAC/D,QAAI,gBAAgB,iBAAiB,KAAK,IAAI,aAAa,YAAY,KAAK,cAAc,YAAY,MAAM,KAAK;AAC/G,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,WAAY,aAAa,SAAS,KAAK,cAAc,SAAS,KAAM,SAAS;AAAA;AAAA;AAGnH,SAAO;AAAA;AAGF,IAAM,QAAO,CAAC,QAAyB;AAC5C,MAAI,CAAC;AAAK,WAAO;AACjB,QAAM,WAA0D;AAChE,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AACnC,QAAI,IAAI,GAAG,QAAQ,IAAI,GAAG,KAAK,SAAS,KAAK;AAC3C,YAAM,YAAY,IAAI,GAAG,KAAK,IAAI,KAAK,IAAI,GAAG,KAAK,KAAK;AACxD,UAAI,KAAK,IAAI,aAAa;AAAI,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AAAA;AAC3D,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,UAAU,YAAY,IAAI,SAAS;AAC1E,YAAM,WAAW,KAAK,IAAI,IAAI,GAAG,KAAK,KAAK,KAAK,IAAI,GAAG,KAAK,KAAK,MAAM,KAAK,IAAI,IAAI,GAAG,KAAK,KAAK,KAAK,IAAI,GAAG,KAAK,KAAK;AACvH,UAAI,WAAW;AAAK,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AACtD,YAAM,YAAY,KAAK,IAAI,IAAI,GAAG,KAAK,KAAK,KAAK,IAAI,GAAG,KAAK,KAAK,MAAM,KAAK,IAAI,IAAI,GAAG,KAAK,KAAK,KAAK,IAAI,GAAG,KAAK,KAAK;AACxH,UAAI,YAAY;AAAK,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AACvD,YAAM,YAAY,KAAK,IAAI,KAAK,MAAM,KAAK,IAAI,IAAI,GAAG,KAAK,IAAI,KAAK,IAAI,GAAG,KAAK,IAAI,MAAM,KAAK,IAAI,IAAI,GAAG,KAAK,IAAI,KAAK,IAAI,GAAG,KAAK,KAAK;AACzI,UAAI,YAAY;AAAI,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,SAAS,KAAK,MAAM;AAC1E,YAAM,YAAY,IAAI,GAAG,KAAK,KAAK;AACnC,UAAI,KAAK,IAAI,aAAa;AAAI,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,QAAQ,YAAY,IAAI,OAAO;AAAA;AAAA;AAGnG,SAAO;AAAA;AAGF,IAAM,QAAO,CAAC,QAAyB;AAC5C,MAAI,CAAC;AAAK,WAAO;AACjB,QAAM,WAA0D;AAChE,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AACnC,QAAI,CAAC,IAAI,GAAG,eAAe,CAAC,IAAI,GAAG,YAAY,eAAe,CAAC,IAAI,GAAG,YAAY,YAAY,MAAM,CAAC,IAAI,GAAG,YAAY,gBAAgB,CAAC,IAAI,GAAG,YAAY,aAAa;AAAI;AAC7K,UAAM,YAAY,IAAI,GAAG,YAAY,YAAY,GAAG,KAAK,IAAI,GAAG,YAAY,YAAY,GAAG;AAC3F,UAAM,YAAY,IAAI,GAAG,YAAY,YAAY,GAAG,KAAK,IAAI,GAAG,YAAY,YAAY,GAAG;AAC3F,UAAM,WAAW,KAAK,IAAI,YAAY;AAEtC,UAAM,aAAa,IAAI,GAAG,YAAY,aAAa,GAAG,KAAK,IAAI,GAAG,YAAY,aAAa,GAAG;AAC9F,UAAM,aAAa,IAAI,GAAG,YAAY,aAAa,GAAG,KAAK,IAAI,GAAG,YAAY,aAAa,GAAG;AAC9F,UAAM,YAAY,KAAK,IAAI,aAAa;AAExC,QAAI,SAAS;AACb,UAAM,aAAa,KAAK,IAAI,WAAW,aAAa,KAAK,IAAI,UAAU;AACvE,QAAI,aAAa,MAAM;AACrB,eAAS;AACT,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AAAA;AAGpC,UAAM,kBAAkB,KAAK,IAAI,IAAI,GAAG,KAAK,KAAK,KAAK,IAAI,GAAG,YAAY,YAAY,GAAG,MAAM,IAAI,GAAG,IAAI;AAC1G,UAAM,mBAAmB,KAAK,IAAI,IAAI,GAAG,KAAK,IAAI,KAAK,IAAI,GAAG,YAAY,aAAa,GAAG,MAAM,IAAI,GAAG,IAAI;AAC3G,QAAI,kBAAkB,QAAQ,mBAAmB;AAAM,eAAS;AAChE,QAAI,kBAAkB,kBAAkB;AACtC,UAAI,kBAAkB;AAAM,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AAAA,WACzD;AACL,UAAI,mBAAmB;AAAM,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AAAA;AAGjE,UAAM,mBAAmB,KAAK,IAAI,IAAI,GAAG,KAAK,KAAK,KAAK,IAAI,GAAG,YAAY,aAAa,GAAG,MAAM,IAAI,GAAG,IAAI;AAC5G,UAAM,kBAAkB,KAAK,IAAI,IAAI,GAAG,KAAK,KAAK,KAAK,IAAI,GAAG,YAAY,YAAY,GAAG,MAAM,IAAI,GAAG,IAAI;AAC1G,QAAI,kBAAkB,QAAQ,mBAAmB,QAAQ,kBAAkB,SAAS,mBAAmB;AAAO,eAAS;AACvH,QAAI,kBAAkB,QAAQ,mBAAmB;AAAM,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AACzF,QAAI,kBAAkB,SAAS,mBAAmB;AAAO,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AAG3F,QAAI;AAAQ,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AAAA;AAEhD,SAAO;AAAA;AAGF,IAAM,QAAO,CAAC,QAAyB;AAC5C,MAAI,CAAC;AAAK,WAAO;AACjB,QAAM,WAA0D;AAChE,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AACnC,UAAM,UAAqD;AAC3D,QAAI,IAAI,GAAG,gBAAgB;AACzB,iBAAW,CAAC,QAAQ,QAAQ,OAAO,QAAQ,IAAI,GAAG,iBAAiB;AACjE,YAAI,WAAW,cAAc,MAAM,QAAQ,QAAQ,IAAI;AAAI,kBAAQ,KAAK,EAAE,MAAM,OAAO,eAAe,UAAU,IAAI;AAAA;AAAA;AAGxH,QAAI,WAAW,QAAQ,SAAS,GAAG;AACjC,YAAM,UAAU,QAAQ,OAAO,CAAC,MAAM,MAAO,KAAK,SAAS,KAAK,EAAE,SAAS,KAAK,OAAO;AACvF,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,GAAG,QAAQ;AAC7C,YAAM,UAAU,QAAQ,OAAO,CAAC,MAAM,MAAO,KAAK,SAAS,KAAK,EAAE,SAAS,KAAK,OAAO;AACvF,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,GAAG,QAAQ;AAAA;AAE/C,QAAI,IAAI,GAAG,cAAc;AACvB,YAAM,QAAQ,AAAW,MAAM,IAAI,GAAG;AACtC,iBAAW,QAAQ;AAAO,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,KAAK;AAAA;AAAA;AAGrE,SAAO;AAAA;;;ACrIT,IAAM,iBAAyB,EAAE,MAAM,IAAI,MAAM,IAAI,MAAM,IAAI,SAAS,IAAI,QAAQ,IAAI,SAAS,IAAI,aAAa,IAAI,WAAW;AACjI,IAAI,kBAAkB;AAEf,eAAc,WAAmB,SAAwB;AAhBhE;AAiBE,QAAM,KAAK;AACX,MAAI,CAAC;AAAW,WAAO,EAAE,MAAM,IAAI,MAAM,IAAI,MAAM,IAAI,SAAS,IAAI,QAAQ,IAAI,SAAS,IAAI,aAAa,IAAI,WAAW;AAKzH,QAAM,UAAU,KAAK,QAAQ,UAAU;AAQvC,QAAM,iBAAiB,UAAU,MAAO,IAAI,KAAK,IAAI,UAAU,KAAK;AAEpE,iBAAe,SAAS,UAAU;AAGlC,MAAI,CAAC,eAAe,QAAS,UAAU,KAAK,WAAW,eAAe,KAAK,QAAS;AAClF,mBAAe,OAAO,KAAK,MAAM,KAAK,UAAU,UAAU;AAAA,SACrD;AACL,aAAS,IAAI,GAAG,IAAI,UAAU,KAAK,QAAQ,KAAK;AAC9C,YAAM,OAAM,UAAU,KAAK,GAAG,IAC3B,IAAI,CAAC,GAAG,MAAQ,mBAAiB,KAAK,eAAe,KAAK,GAAG,IAAI,KAAK,KAAK;AAC9E,YAAM,SAAS,UAAU,KAAK,GAAG,OAC9B,IAAI,CAAC,GAAG,MAAQ,mBAAiB,KAAK,eAAe,KAAK,GAAG,OAAO,KAAK,KAAK;AACjF,YAAM,YAAa,UAAU,KAAK,GAAG,UAClC,IAAI,CAAC,UAAU,MAAO;AAAA,QACrB,OAAO,SAAS;AAAA,QAChB,MAAM,SAAS;AAAA,QACf,UAAU;AAAA,UACR,eAAe,KAAK,GAAG,UAAU,KAAO,mBAAiB,KAAK,eAAe,KAAK,GAAG,UAAU,GAAG,SAAS,KAAK,SAAS,SAAS,MAAM,iBAAiB,SAAS,SAAS;AAAA,UAC3K,eAAe,KAAK,GAAG,UAAU,KAAO,mBAAiB,KAAK,eAAe,KAAK,GAAG,UAAU,GAAG,SAAS,KAAK,SAAS,SAAS,MAAM,iBAAiB,SAAS,SAAS;AAAA;AAAA,QAE7K,aAAa;AAAA,UACX,eAAe,KAAK,GAAG,UAAU,KAAO,mBAAiB,KAAK,eAAe,KAAK,GAAG,UAAU,GAAG,YAAY,KAAK,SAAS,YAAY,MAAM,iBAAiB,SAAS,SAAS;AAAA,UACjL,eAAe,KAAK,GAAG,UAAU,KAAO,mBAAiB,KAAK,eAAe,KAAK,GAAG,UAAU,GAAG,YAAY,KAAK,SAAS,YAAY,MAAM,iBAAiB,SAAS,SAAS;AAAA;AAAA;AAGvL,YAAM,eAAyC;AAE/C,UAAI,UAAS,EAAE,WAAW;AAC1B,UAAI,oBAAO,SAAP,mBAAa,cAAb,mBAAwB,SAAS;AAAkB,kBAAS;AAAA,eACvD,oBAAO,SAAP,mBAAa,cAAb,mBAAwB,SAAS;AAAc,kBAAS;AAAA,eACxD,oBAAO,SAAP,mBAAa,cAAb,mBAAwB,SAAS;AAAY,kBAAS;AAC/D,iBAAW,CAAC,MAAM,YAAY,OAAO,QAAQ,QAAO,YAAwC;AAC1F,cAAM,KAAqB;AAC3B,iBAAS,IAAI,GAAG,IAAI,QAAQ,SAAS,GAAG,KAAK;AAC3C,gBAAM,MAAM,UAAU,KAAK,CAAC,OAAO,GAAG,SAAS,QAAQ;AACvD,gBAAM,MAAM,UAAU,KAAK,CAAC,OAAO,GAAG,SAAS,QAAQ,IAAI;AAC3D,cAAI,OAAO,OAAO,IAAI,QAAS,SAAO,KAAK,iBAAiB,MAAM,IAAI,QAAS,SAAO,KAAK,iBAAiB;AAAI,eAAG,KAAK,CAAC,IAAI,UAAU,IAAI;AAAA;AAE7I,qBAAY,QAAQ;AAAA;AAEtB,qBAAe,KAAK,KAAK,KAAK,UAAU,KAAK,IAAI,WAAK,QAAQ,WAAW,aAAa;AAAA;AAAA;AAK1F,MAAI,CAAC,eAAe,QAAS,UAAU,KAAK,WAAW,eAAe,KAAK,QAAS;AAClF,mBAAe,OAAO,KAAK,MAAM,KAAK,UAAU,UAAU;AAAA,SACrD;AACL,aAAS,IAAI,GAAG,IAAI,UAAU,KAAK,QAAQ,KAAK;AAC9C,YAAM,OAAO,UAAU,KAAK,GAAG,IAC5B,IAAI,CAAC,GAAG,MAAQ,mBAAiB,KAAK,eAAe,KAAK,GAAG,IAAI,KAAK,KAAK;AAC9E,YAAM,SAAU,UAAU,KAAK,GAAG,OAC/B,IAAI,CAAC,GAAG,MAAQ,mBAAiB,KAAK,eAAe,KAAK,GAAG,OAAO,KAAK,KAAK;AACjF,UAAI,eAAe,KAAK,GAAG,UAAU,WAAW,UAAU,KAAK,GAAG,UAAU;AAAQ,uBAAe,KAAK,GAAG,YAAY,UAAU,KAAK,GAAG;AACzI,YAAM,YAAY,UAAU,KAAK,GAAG,aAAa,UAAU,KAAK,GAAG,UAAU,SAAS,IAAI,UAAU,KAAK,GAAG,UACzG,IAAI,CAAC,UAAU,MAAM,SACnB,IAAI,CAAC,OAAO,MAAS,mBAAiB,KAAM,gBAAe,KAAK,GAAG,UAAU,GAAG,MAAM,KAAM,UAAS,MAAM,mBAC5G;AACJ,UAAI,eAAc;AAClB,UAAI,OAAO,KAAK,eAAe,KAAK,GAAG,aAAa,WAAW,OAAO,KAAK,UAAU,KAAK,GAAG,aAAa,QAAQ;AAChH,uBAAe,KAAK,GAAG,cAAc,UAAU,KAAK,GAAG;AACvD,uBAAc,eAAe,KAAK,GAAG;AAAA,iBAC5B,UAAU,KAAK,GAAG,aAAa;AACxC,mBAAW,OAAO,OAAO,KAAK,UAAU,KAAK,GAAG,cAAc;AAC5D,uBAAY,OAAO,UAAU,KAAK,GAAG,YAAY,QAAQ,UAAU,KAAK,GAAG,YAAY,KAAK,KACxF,UAAU,KAAK,GAAG,YAAY,KAC7B,IAAI,CAAC,KAAK,MAAM,IACd,IAAI,CAAC,OAAO,MAAQ,mBAAiB,KAAK,eAAe,KAAK,GAAG,YAAY,KAAK,GAAG,KAAK,SAAS,mBACtG;AAAA;AAAA;AAGR,qBAAe,KAAK,KAAK,KAAK,UAAU,KAAK,IAAI,WAAK,QAAQ,WAAW,aAAa;AAAA;AAAA;AAK1F,MAAI,CAAC,eAAe,QAAS,UAAU,KAAK,WAAW,eAAe,KAAK,QAAS;AAClF,mBAAe,OAAO,KAAK,MAAM,KAAK,UAAU,UAAU;AAAA,SACrD;AACL,aAAS,IAAI,GAAG,IAAI,UAAU,KAAK,QAAQ,KAAK;AAC9C,YAAM,OAAO,UAAU,KAAK,GAAG,IAC5B,IAAI,CAAC,GAAG,MAAQ,mBAAiB,KAAK,eAAe,KAAK,GAAG,IAAI,KAAK,KAAK;AAC9E,YAAM,SAAU,UAAU,KAAK,GAAG,OAC/B,IAAI,CAAC,GAAG,MAAQ,mBAAiB,KAAK,eAAe,KAAK,GAAG,OAAO,KAAK,KAAK;AACjF,YAAM,WAIF,EAAE,QAAQ,CAAC,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,IAAI,OAAO,EAAE,MAAM,GAAG,KAAK,GAAG,OAAO,KAAK,MAAM,EAAE,SAAS,GAAG,UAAU;AAC/G,eAAS,SAAS,gBAAU,KAAK,GAAG,aAAlB,mBAA4B;AAC9C,eAAS,QAAQ;AAAA,QACf,MAAQ,mBAAiB,KAAM,6BAAe,KAAK,GAAG,aAAvB,mBAAiC,UAAjC,mBAAwC,SAAQ,KAAM,wBAAU,KAAK,GAAG,aAAlB,mBAA4B,UAA5B,mBAAmC,SAAQ,MAAM;AAAA,QACtI,KAAO,mBAAiB,KAAM,6BAAe,KAAK,GAAG,aAAvB,mBAAiC,UAAjC,mBAAwC,QAAO,KAAM,wBAAU,KAAK,GAAG,aAAlB,mBAA4B,UAA5B,mBAAmC,QAAO,MAAM;AAAA,QACnI,OAAS,mBAAiB,KAAM,6BAAe,KAAK,GAAG,aAAvB,mBAAiC,UAAjC,mBAAwC,UAAS,KAAM,wBAAU,KAAK,GAAG,aAAlB,mBAA4B,UAA5B,mBAAmC,UAAS,MAAM;AAAA;AAE3I,eAAS,OAAO;AAAA,QAEd,SAAW,mBAAiB,KAAM,6BAAe,KAAK,GAAG,aAAvB,mBAAiC,SAAjC,mBAAuC,YAAW,KAAM,wBAAU,KAAK,GAAG,aAAlB,mBAA4B,SAA5B,mBAAkC,YAAW,MAAM;AAAA,QAC7I,UAAY,mBAAiB,KAAM,6BAAe,KAAK,GAAG,aAAvB,mBAAiC,SAAjC,mBAAuC,aAAY,KAAM,wBAAU,KAAK,GAAG,aAAlB,mBAA4B,SAA5B,mBAAkC,aAAY,MAAM;AAAA;AAElJ,qBAAe,KAAK,KAAK,KAAK,UAAU,KAAK,IAAI,UAAU,WAAK;AAAA;AAAA;AAKpE,MAAI,CAAC,eAAe,UAAW,UAAU,OAAO,WAAW,eAAe,OAAO,QAAS;AACxF,mBAAe,SAAS,KAAK,MAAM,KAAK,UAAU,UAAU;AAAA,SACvD;AACL,aAAS,IAAI,GAAG,IAAI,UAAU,OAAO,QAAQ,KAAK;AAChD,YAAM,OAAO,UAAU,OAAO,GAAG,IAC9B,IAAI,CAAC,GAAG,MAAQ,mBAAiB,KAAK,eAAe,OAAO,GAAG,IAAI,KAAK,KAAK;AAChF,YAAM,SAAU,UAAU,OAAO,GAAG,OACjC,IAAI,CAAC,GAAG,MAAQ,mBAAiB,KAAK,eAAe,OAAO,GAAG,OAAO,KAAK,KAAK;AACnF,qBAAe,OAAO,KAAK,KAAK,UAAU,OAAO,IAAI,WAAK;AAAA;AAAA;AAK9D,MAAI,UAAU,SAAS;AACrB,UAAM,aAAa,UAAU;AAC7B,QAAI,CAAC,eAAe,WAAY,WAAW,WAAW,eAAe,QAAQ,QAAS;AACpF,qBAAe,UAAU,KAAK,MAAM,KAAK,UAAU;AAAA,WAC9C;AACL,eAAS,IAAI,GAAG,IAAI,WAAW,QAAQ,KAAK;AAC1C,uBAAe,QAAQ,GAAG,MAAO,WAAW,GAAG,IAC5C,IAAI,CAAC,MAAK,MAAQ,mBAAiB,KAAK,eAAe,QAAQ,GAAG,IAAI,KAAK,QAAO;AAAA;AAAA;AAAA;AAM3F,MAAI,UAAU;AAAS,mBAAe,UAAU,UAAU;AAG1D,QAAM,KAAK;AACX,oBAAkB,IAAI,UAAU,kBAAkB,KAAK,MAAM,KAAK,MAAM,KAAK,MAAM,KAAK;AACxF,MAAI,UAAU;AAAa,mBAAe,cAAc,KAAK,UAAU,aAAa,aAAa;AAEjG,SAAO;AAAA;;;AC9JF,kBAAkB,aAAyB,aAAyB,WAAwB,EAAE,OAAO,GAAG,YAAY,MAAM;AAE/H,MAAI,OAAM;AACV,WAAS,IAAI,GAAG,IAAI,YAAY,QAAQ,KAAK;AAC3C,UAAM,OAAQ,CAAC,SAAQ,SAAS,SAAQ,UAAU,IAAM,YAAY,KAAK,YAAY,KAAO,KAAK,IAAI,YAAY,KAAK,YAAY;AAClI,YAAQ,CAAC,SAAQ,SAAS,SAAQ,UAAU,IAAM,OAAO,OAAS,QAAQ,SAAQ;AAAA;AAEpF,SAAQ,UAAQ,cAAc,MAAM;AAAA;AAItC,IAAM,oBAAoB,CAAC,MAAM,OAAO,MAAK,SAAQ;AACnD,MAAI,SAAS;AAAG,WAAO;AACvB,QAAM,OAAO,UAAU,IAAI,KAAK,KAAK,QAAQ,QAAS,KAAI;AAC1D,QAAM,OAAQ,KAAK,OAAO,MAAO,QAAQ,QAAM;AAC/C,QAAM,SAAQ,KAAK,IAAI,KAAK,IAAI,MAAM,IAAI;AAC1C,SAAO;AAAA;AAcF,oBAAoB,aAAyB,aAAyB,WAAwB,EAAE,OAAO,GAAG,YAAY,IAAI,KAAK,KAAK,KAAK,OAAO;AACrJ,QAAM,OAAO,SAAS,aAAa,aAAa;AAChD,SAAO,kBAAkB,MAAM,SAAQ,SAAS,GAAG,SAAQ,OAAO,GAAG,SAAQ,OAAO;AAAA;AAc/E,gBAAe,YAAwB,aAAgC,WAAwB,EAAE,OAAO,GAAG,YAAY,IAAI,WAAW,GAAG,KAAK,KAAK,KAAK,OAAO;AACpK,MAAI,CAAC,MAAM,QAAQ,eAAe,CAAC,MAAM,QAAQ,gBAAgB,WAAW,SAAS,MAAM,YAAY,WAAW,KAAK,WAAW,WAAW,YAAY,GAAG,QAAQ;AAClK,WAAO,EAAE,OAAO,IAAI,UAAU,OAAO,mBAAmB,YAAY;AAAA;AAEtE,MAAI,iBAAiB,OAAO;AAC5B,MAAI,SAAQ;AACZ,WAAS,IAAI,GAAG,IAAI,YAAY,QAAQ,KAAK;AAC3C,UAAM,MAAM,SAAS,YAAY,YAAY,IAAI;AACjD,QAAI,MAAM,gBAAgB;AACxB,uBAAiB;AACjB,eAAQ;AAAA;AAEV,QAAI,iBAAkB,UAAQ,aAAa;AAAI;AAAA;AAEjD,QAAM,uBAAuB,kBAAkB,gBAAgB,SAAQ,SAAS,GAAG,SAAQ,OAAO,GAAG,SAAQ,OAAO;AACpH,SAAO,EAAE,eAAO,UAAU,gBAAgB,YAAY;AAAA;;;ACnEjD,eAAc,OAA0B,QAA2B,OAA0B,UAAgC,OAAuD;AAN3L;AAOE,MAAI,KAAK;AACT,QAAM,WAA+B;AACrC,aAAW,SAAQ,OAAO;AACxB,UAAM,UAAuB,EAAE,IAAI,MAAM,aAAM,MAAM,MAAM,OAAO,EAAE,MAAM,MAAM,OAAO,QAAQ,UAAU,IAAI,KAAK,CAAC,GAAG,GAAG,GAAG;AAC5H,eAAW,SAAQ,QAAQ;AACzB,UAAI,MAAK,IAAI,KAAK,MAAK,IAAI,MACtB,MAAK,IAAI,KAAK,MAAK,IAAI,KAAK,MAAK,IAAI,MACrC,MAAK,IAAI,KAAK,MAAK,IAAI,KAAK,MAAK,IAAI,MACrC,MAAK,IAAI,KAAK,MAAK,IAAI,KAAK,MAAK,IAAI,KAAK,MAAK,IAAI,IAAI;AAC1D,gBAAO,OAAO;AAAA;AAAA;AAGlB,QAAI,QAAO,MAAM;AACf,iBAAW,SAAQ,OAAO;AACxB,YAAI,MAAK,IAAI,KAAK,MAAK,IAAI,KAAK,QAAO,KAAK,IAAI,MAC3C,MAAK,IAAI,KAAK,MAAK,IAAI,KAAK,QAAO,KAAK,IAAI,KAAK,QAAO,KAAK,IAAI,MACjE,MAAK,IAAI,KAAK,MAAK,IAAI,KAAK,QAAO,KAAK,IAAI,MAC5C,MAAK,IAAI,KAAK,MAAK,IAAI,KAAK,QAAO,KAAK,IAAI,KAAK,QAAO,KAAK,IAAI,IAAI;AACxE,cAAI,QAAO;AAAO,oBAAO,MAAM,OAAO;AAAA;AAExC,YAAI,MAAK,IAAI,KAAK,QAAO,KAAK,IAAI,KAAK,QAAO,KAAK,IAAI,MAClD,MAAK,IAAI,KAAK,QAAO,KAAK,IAAI,MAC9B,MAAK,IAAI,KAAK,MAAK,IAAI,KAAK,QAAO,KAAK,IAAI,MAC5C,MAAK,IAAI,KAAK,MAAK,IAAI,KAAK,QAAO,KAAK,IAAI,KAAK,QAAO,KAAK,IAAI,IAAI;AACxE,cAAI,QAAO;AAAO,oBAAO,MAAM,QAAQ;AAAA;AAAA;AAAA;AAI7C,eAAW,YAAW,UAAU;AAC9B,UAAI,SAAQ,YAAY,UAAa,SAAQ,YAAY,MAAK;AAAI,sBAAO,aAAP,mBAAiB,KAAK;AAAA,eAC/E,SAAQ,YAAY,UAAa,SAAQ,YAAY,MAAK;AAAI,sBAAO,aAAP,mBAAiB,KAAK;AAAA,eACpF,SAAQ,YAAY,UAAa,SAAQ,YAAY,eAAO,SAAP,mBAAa;AAAI,sBAAO,aAAP,mBAAiB,KAAK;AAAA,eAC5F,SAAQ,YAAY,UAAa,SAAQ,YAAY,qBAAO,UAAP,mBAAc,SAAd,mBAAoB;AAAI,sBAAO,aAAP,mBAAiB,KAAK;AAAA,eACnG,SAAQ,YAAY,UAAa,SAAQ,YAAY,qBAAO,UAAP,mBAAc,UAAd,mBAAqB;AAAI,sBAAO,aAAP,mBAAiB,KAAK;AAAA;AAI/G,UAAM,IAAc;AACpB,UAAM,IAAc;AACpB,UAAM,YAAY,CAAC,SAAyB;AAC1C,UAAI,QAAO,KAAI,WAAW,GAAG;AAC3B,UAAE,KAAK,KAAI,IAAI,KAAI,KAAK,KAAI;AAC5B,UAAE,KAAK,KAAI,IAAI,KAAI,KAAK,KAAI;AAAA;AAAA;AAGhC,cAAU,cAAO,SAAP,mBAAa;AACvB,cAAU,cAAO,SAAP,mBAAa;AACvB,cAAU,oBAAO,UAAP,mBAAc,SAAd,mBAAoB;AAC9B,cAAU,oBAAO,UAAP,mBAAc,UAAd,mBAAqB;AAC/B,UAAM,OAAO,KAAK,IAAI,GAAG;AACzB,UAAM,OAAO,KAAK,IAAI,GAAG;AACzB,YAAO,MAAM,CAAC,MAAM,MAAM,KAAK,IAAI,GAAG,KAAK,MAAM,KAAK,IAAI,GAAG,KAAK;AAGlE,QAAI,SAAS,MAAM,MAAM,MAAM;AAAI,cAAO,SAAS,CAAC,QAAO,IAAI,KAAK,MAAM,IAAI,QAAO,IAAI,KAAK,MAAM,IAAI,QAAO,IAAI,KAAK,MAAM,IAAI,QAAO,IAAI,KAAK,MAAM;AAExJ,aAAQ,KAAK;AAAA;AAEf,SAAO;AAAA;;;AC5DF,IAAM,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,IAAM,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;;;ACnJpB,4BAA4B,UAAU;AACpC,QAAM,YAAY,CAAC,QAAgB,OAAO,+BAA+B,MAAM,QAAQ,eAAe,UAAU,KAAK,CAAC,SAAQ,KAAI;AAClI,MAAI;AACJ,MAAI;AACJ,UAAQ,SAAS,OAAO;AAAA,SACjB;AAAQ,aAAO,MAAM,UAAiB;AAAO;AAAA,SAC7C;AAAA,SACA;AAAQ,aAAO,MAAM,UAAiB;AAAO;AAAA;AACzC,aAAO;AAAA;AAElB,MAAI,MAAM;AACR,UAAM,SAAS,MAAM,kBAAkB;AACvC,UAAM,MAAM,SAAS,OAAO,QAAQ,SAAS;AAC7C,WAAO;AAAA;AAET,SAAO;AAAA;AAGT,4BAA4B,UAAU;AACpC,SAAO,IAAI,QAAQ,CAAC,YAAY;AAC9B,QAAI;AAEJ,YAAQ,SAAS,OAAO;AAAA,WACjB;AAEH,cAAM,4BAAmC;AACzC;AAAA,WACG;AAAA,WACA;AAEH,cAAM,4BAAmC;AACzC;AAAA;AAEA,cAAM;AAAA;AAGV,QAAI;AACJ,QAAI,OAAO,UAAU;AAAa,YAAM,IAAI;AAAA,aAEnC,IAAI;AAAO,YAAM,IAAI,IAAI;AAClC,QAAI,SAAS,YAAY;AACvB,YAAM,UAAS,AAAM,OAAO,IAAI,cAAc,IAAI;AAClD,UAAI,CAAC,SAAQ;AACX,YAAI;AACJ,gBAAQ;AAAA,aACH;AACL,cAAM,MAAM,QAAO,WAAW;AAC9B,YAAI;AAAK,cAAI,UAAU,KAAK,GAAG;AAE/B,cAAM,UAAS,MAAM,SAAS,MAAM;AACpC,cAAM,MAAM,MAAM,SAAS,OAAO,QAAO,QAAQ,SAAS;AAC1D,gBAAQ;AAAA;AAAA;AAGZ,QAAI;AAAK,UAAI,MAAM;AAAA;AACd,cAAQ;AAAA;AAAA;AAIjB,0BAA0B,UAAU;AAClC,QAAM,OAAO,CAAC,QAAgB,OAAO,KAAK,KAAK;AAC/C,MAAI;AACJ,MAAI,SAAS,OAAO,WAAW;AAAQ,UAAM,KAAY;AACzD,MAAI,SAAS,OAAO,WAAW,UAAU,SAAS,OAAO,WAAW;AAAQ,UAAM,KAAY;AAC9F,MAAI,CAAC;AAAK,WAAO;AACjB,MAAI;AACJ,MAAI,OAAU,6BAAY,aAAa;AACrC,UAAM,OAAO,AAAG,yBAAQ,WAAW;AACnC,UAAM,WAAW,KAAK,WAAW;AACjC,aAAS,GAAG,QAAQ;AAEpB,UAAM,MAAM,SAAS,OAAO,UAAU,SAAS;AAC/C,aAAS,GAAG,QAAQ;AAAA,SACf;AACL,QAAI,SAAS,OAAO;AAAO,UAAI;AAAA;AASjC,SAAO;AAAA;AAQT,sBAA6B,UAAU,YAA2D;AAChG,QAAM,KAAK;AACX,WAAS,QAAQ;AACjB,MAAI;AAAY,aAAS,SAAS,UAAU,SAAS,QAAQ;AAC7D,MAAI,CAAC,SAAS,OAAO,UAAU,SAAS,OAAO,WAAW;AAAQ,WAAO,EAAE,OAAO;AAClF,MAAI;AACJ,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,QAAI,OAAO,sBAAsB;AAAY,YAAM,MAAM,aAAa;AAAA,aAC7D,OAAO,UAAU,eAAe,IAAI,WAAW;AAAW,YAAM,MAAM,aAAa;AAAA;AACvF,YAAM,MAAM,WAAW;AAC5B,UAAM,KAAK;AACX,QAAI,SAAS,OAAO;AAAO,UAAI,UAAU,SAAS,OAAO,QAAQ,KAAK,MAAM,KAAK,KAAK;AACtF,aAAS,KAAK;AACd,YAAQ;AAAA;AAAA;;;ACpHZ;AAiEO,kBAAY;AAAA,EA0EjB,YAAY,YAA8B;AAxE1C;AAKA;AAKA;AAMA;AAGA;AAQA;AAGA;AAKA;AAMA;AAYA;AAEA;AAEA;AAEA;AACA;AACA;AACA;AAEA;AAwDA,mCAAU,IAAI,QAAkB;AAC9B,UAAI,CAAC,mBAAK;AAAqB;AAC/B,YAAM,iBAAiB,KAAK,GAAG,SAAS,MAAM;AAC9C,YAAM,kBAAkB,mBAAK;AAC7B,yBAAK,aAAc;AACnB,YAAM,SAAS,iBAAiB;AAChC,UAAI,WAAW;AAAG,YAAI,GAAG,KAAK;AAAA;AAKhC,gCAAU,CAAC,UAAgC;AACzC,UAAI,CAAC,mBAAK;AAAc,eAAO;AAC/B,UAAI,CAAC;AAAO,eAAO;AACnB,UAAI,KAAK,IAAI,QAAQ,CAAE,kBAAoB;AAAS,eAAO;AAC3D,UAAI;AACF,aAAK,GAAG;AAAA,eACF,GAAN;AACA,eAAO;AAAA;AAET,aAAO;AAAA;AAgBF,sCAAmB;AACnB,oCAAiB;AACjB,iCAAc;AA4GrB,gCAAO,CAAC,UAAkB;AA7U5B;AA8UI,UAAI,KAAK,UAAU,KAAK,OAAO;AAAe,mBAAK,WAAL,mBAAa,cAAc,IAAI,MAAM;AAAA;AAlMnF,SAAK,MAAM;AACX,WAAS,WAAW,AAAG,8BAAa,SAAS,OACzC,4CACA,8DAAiE;AACrE,WAAS,gBAAgB,IAAI,UAAU,eAAe;AACtD,WAAS,UAAU,IAAI,UAAU,YAAY;AAC7C,SAAK,UAAc;AACnB,WAAO,eAAe,MAAM,WAAW,EAAE,OAAW;AACpD,SAAK,SAAS,KAAK,MAAM,KAAK,UAAU;AACxC,WAAO,KAAK,KAAK;AACjB,QAAI;AAAY,WAAK,SAAS,UAAU,KAAK,QAAQ;AACrD,SAAK,KAAK;AACV,SAAK,QAAQ;AACb,uBAAK,aAAc;AACnB,uBAAK,qBAAsB;AAC3B,uBAAK,cAAe;AACpB,SAAK,cAAc;AACnB,SAAK,SAAU,OAAO,gBAAgB,cAAe,IAAI,gBAAgB;AAEzE,SAAK,SAAS,IAAW;AAEzB,SAAK,OAAO;AAAA,MACV,SAAc;AAAA,MACd,QAAQ,CAAC,OAAqG,WAA8B,AAAK,QAAO,OAAO;AAAA,MAC/J,MAAM,CAAC,QAA6C,QAAsB,aAAmC,AAAK,KAAK,QAAQ,QAAQ;AAAA,MACvI,MAAM,CAAC,QAA6C,QAAsB,aAAmC,AAAK,KAAK,QAAQ,QAAQ;AAAA,MACvI,MAAM,CAAC,QAA6C,QAAsB,aAAmC,AAAK,KAAK,QAAQ,QAAQ;AAAA,MACvI,SAAS,CAAC,QAA6C,QAAyB,aAAmC,AAAK,QAAQ,QAAQ,QAAQ;AAAA,MAChJ,QAAQ,CAAC,QAA6C,QAAwB,aAAmC,AAAK,OAAO,QAAQ,QAAQ;AAAA,MAC7I,QAAQ,CAAC,QAA6C,QAAwB,aAAmC,AAAK,OAAO,QAAQ,QAAQ;AAAA,MAC7I,KAAK,CAAC,QAA6C,QAAgB,aAAmC,AAAK,IAAI,QAAQ,QAAQ;AAAA;AAEjI,SAAK,SAAS,EAAE,MAAM,IAAI,MAAM,IAAI,MAAM,IAAI,SAAS,IAAI,QAAQ,IAAI,aAAa,IAAI,WAAW,GAAG,SAAS;AAG/G,SAAK,UAAU,EAAE,QAAQ,MAAM,QAAQ;AAEvC,SAAK,oBAA6B;AAClC,SAAK,YAAqB;AAE1B,SAAK,KAAa;AAElB,SAAK,KAAK;AAAA;AAAA,EA6BZ,QAAc;AACZ,UAAM,iBAAiB,KAAK,OAAO;AACnC,SAAK,SAAS,KAAK,MAAM,KAAK,UAAU;AACxC,SAAK,OAAO,UAAU;AAAA;AAAA,EAIxB,SAAS,YAA8B;AACrC,WAAO,SAAS,QAAU,cAAc,KAAK;AAAA;AAAA,EAS/C,MAAc;AACZ,WAAO;AAAA;AAAA,EAST,MAAM,OAAc,YAAqB,MAAM;AAC7C,WAAO,AAAM,SAAQ,OAAO,KAAK,QAAQ;AAAA;AAAA,QAgBrC,aAAa,OAAc,YAAwJ;AACvL,WAAO,AAAa,SAAQ,OAAO,YAAY,KAAK;AAAA;AAAA,EAStD,QAAQ,OAA8B;AACpC,WAAO,AAAQ,SAAQ;AAAA;AAAA,EAWzB,QAAQ,kBAA0B,mBAA4C;AAC5E,WAAO,AAAM,QAAQ,KAAK,QAAQ,kBAAkB;AAAA;AAAA,QAUhD,OAAsB;AAC1B,UAAM,AAAQ,MAAM,MAAM;AAC1B,UAAM,KAAK,GAAG;AAAA;AAAA,QASV,KAAK,YAA6C;AACtD,SAAK,QAAQ;AACb,UAAM,YAAY;AAClB,UAAM,SAAQ,OAAO,OAAO,KAAK,QAAQ,OAAO,CAAC,YAAU,SAAO;AAClE,QAAI;AAAY,WAAK,SAAS,UAAU,KAAK,QAAQ;AAErD,QAAI,KAAK,IAAI,SAAS;AACpB,UAAI,KAAK,OAAO;AAAO,YAAI,YAAY,KAAK;AAC5C,UAAI,KAAK,OAAO;AAAO,YAAI,iBAAiB,KAAK,GAAG;AACpD,UAAI,CAAC,MAAM,AAAQ,MAAM;AAAO,YAAI;AACpC,YAAM,AAAG;AACT,UAAI,KAAK,IAAI,SAAS;AACpB,YAAI,KAAK,OAAO;AAAO,cAAI,kBAAkB,KAAK;AAClD,YAAI,KAAK,OAAO;AAAO,cAAI,gBAAgB,KAAK;AAChD,YAAI,KAAK,OAAO;AAAO,cAAI,aAAa,KAAK,GAAG,IAAI;AAAA;AAAA;AAIxD,UAAM,AAAO,OAAK;AAClB,QAAI,KAAK,IAAI,WAAW,KAAK,OAAO;AAAO,UAAI,oBAAoB,KAAK,GAAG,SAAS,MAAM,UAAU,SAAS,KAAK,GAAG,SAAS,MAAM,YAAY;AAChJ,SAAK,IAAI,UAAU;AAEnB,UAAM,SAAS,OAAO,OAAO,KAAK,QAAQ,OAAO,CAAC,YAAU,SAAO;AACnE,QAAI,WAAW,QAAO;AACpB,YAAM,AAAO,UAAS;AACtB,WAAK,KAAK;AAAA;AAGZ,UAAM,UAAU,KAAK,MAAM,QAAQ;AACnC,QAAI,UAAW,MAAK,YAAY,cAAwB;AAAI,WAAK,YAAY,aAAa,KAAK,IAAI,UAAW,MAAK,YAAY,cAAc,KAAK,UAAU;AAAA;AAAA,EAe9J,KAAK,SAAiB,KAAK,QAAgB;AACzC,WAAO,AAAY,MAAK,QAAQ,KAAK;AAAA;AAAA,QASjC,OAAO,YAA8B;AACzC,UAAM,KAAK;AACX,UAAM,MAAM,MAAM,AAAQ,OAAO,MAAM;AACvC,UAAM,KAAK;AACX,SAAK,YAAY,SAAS,KAAK,MAAM,KAAK;AAC1C,WAAO;AAAA;AAAA,QAOH,QAAQ,OAAc,YAA+D;AACzF,UAAM,UAAU,MAAM,KAAK,GAAG,QAAQ,MAAM,KAAK,OAAO,OAAO;AAC/D,UAAM,UAAU;AAChB,eAAW,UAAU,QAAQ,SAAS;AACpC,UAAI,QAAQ,OAAO;AAAO,gBAAQ,OAAO,SAAS,OAAO;AAAA;AACpD,gBAAQ,OAAO,QAAQ,OAAO;AAAA;AAErC,UAAM,YAAiC;AACvC,WAAO,QAAQ,SAAS,QAAQ,CAAC,QAAQ,UAAU,KAAK,EAAE,MAAM,IAAI,IAAI,IAAI,IAAI;AAChF,cAAU,KAAK,CAAC,GAAG,MAAM,EAAE,KAAK,EAAE;AAClC,cAAU,SAAS;AACnB,UAAM,MAA8B;AACpC,eAAW,UAAU;AAAW,UAAI,OAAO,QAAQ,OAAO;AAC1D,WAAO;AAAA;AAAA,QAaH,OAAO,OAAc,YAAuD;AAEhF,SAAK,QAAQ;AACb,WAAO,IAAI,QAAQ,OAAO,YAAY;AA1Y1C;AA2YM,WAAK,QAAQ;AACb,UAAI;AAGJ,WAAK,SAAS,UAAU,KAAK,QAAQ;AAGrC,WAAK,QAAQ;AACb,YAAM,QAAQ,mBAAK,SAAL,WAAa;AAC3B,UAAI,OAAO;AACT,YAAI,OAAO;AACX,gBAAQ,EAAE;AAAA;AAGZ,YAAM,YAAY;AAGlB,YAAM,AAAQ,MAAM;AAGpB,YAAM,KAAK;AAEX,kBAAY;AACZ,WAAK,QAAQ;AACb,YAAM,MAAM,MAAM,AAAM,SAAQ,OAAO,KAAK;AAC5C,WAAK,UAAU;AACf,WAAK,YAAY,eAAe,KAAK,IAAI,UAAW,MAAK,YAAY,gBAAgB,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAC7I,WAAK,QAAQ;AAEb,UAAI,CAAC,IAAI,QAAQ;AACf,YAAI,KAAK,OAAO;AAAO,cAAI;AAC3B,gBAAQ,EAAE,OAAO;AACjB;AAAA;AAEF,WAAK,KAAK;AAEV,kBAAY;AACZ,WAAK,OAAO,cAAc,MAAM,AAAM,KAAK,KAAK,QAAQ,IAAI;AAC5D,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,UAAW,MAAK,YAAY,cAAc,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AACzI,WAAK,QAAQ;AAIb,UAAI,UAA0D;AAC9D,UAAI,UAA0D;AAC9D,UAAI,UAA0D;AAC9D,UAAI,YAAgE;AAGpE,WAAK,QAAQ;AACb,UAAI,KAAK,OAAO,OAAO;AACrB,kBAAU,KAAK,OAAO,KAAK,UAAU,AAAK,WAAW,MAAM,IAAI,UAAU;AACzE,YAAI,KAAK,YAAY;AAAM,iBAAO,KAAK,YAAY;AAAA,aAC9C;AACL,oBAAY;AACZ,kBAAU,KAAK,OAAO,KAAK,UAAU,MAAM,AAAK,WAAW,MAAM,IAAI,UAAU;AAC/E,aAAK,YAAY,OAAO,KAAK,IAAI,UAAW,MAAK,YAAY,QAAQ,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAAA;AAG/H,UAAI,KAAK,OAAO,SAAU,MAAK,OAAO,KAAK,gBAAgB,MAAM,KAAK,OAAO,KAAK,gBAAgB;AAAK,kBAAU,MAAM;AAGvH,WAAK,QAAQ;AACb,WAAK,QAAQ;AACb,YAAM,aAAa,KAAK,OAAO,KAAK,gBAAgB,KAAK,UAAU,KAAK,QAAQ,EAAE,MAAM,EAAE,aAAa,KAAK,OAAO,KAAK,UAAU,IAAK,QAAyB,SAAS,SAAS,KAAK;AACvL,UAAI,KAAK,OAAO,OAAO;AACrB,YAAI,WAAK,OAAO,KAAK,cAAjB,mBAA4B,SAAS;AAAY,oBAAU,KAAK,OAAO,KAAK,UAAU,AAAQ,UAAQ,IAAI,QAAQ,cAAc;AAAA,iBAC3H,WAAK,OAAO,KAAK,cAAjB,mBAA4B,SAAS;AAAc,oBAAU,KAAK,OAAO,KAAK,UAAU,AAAU,SAAQ,IAAI,QAAQ,cAAc;AAAA,iBACpI,WAAK,OAAO,KAAK,cAAjB,mBAA4B,SAAS;AAAkB,oBAAU,KAAK,OAAO,KAAK,UAAU,AAAc,SAAQ,IAAI,QAAQ,cAAc;AAAA,iBAC5I,WAAK,OAAO,KAAK,cAAjB,mBAA4B,SAAS;AAAY,oBAAU,KAAK,OAAO,KAAK,UAAU,AAAQ,UAAQ,IAAI,QAAQ,cAAc;AACzI,YAAI,KAAK,YAAY;AAAM,iBAAO,KAAK,YAAY;AAAA,aAC9C;AACL,oBAAY;AACZ,YAAI,WAAK,OAAO,KAAK,cAAjB,mBAA4B,SAAS;AAAY,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAM,AAAQ,UAAQ,IAAI,QAAQ,cAAc;AAAA,iBACjI,WAAK,OAAO,KAAK,cAAjB,mBAA4B,SAAS;AAAc,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAM,AAAU,SAAQ,IAAI,QAAQ,cAAc;AAAA,iBAC1I,WAAK,OAAO,KAAK,cAAjB,mBAA4B,SAAS;AAAkB,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAM,AAAc,SAAQ,IAAI,QAAQ,cAAc;AAAA,iBAClJ,WAAK,OAAO,KAAK,cAAjB,mBAA4B,SAAS;AAAY,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAM,AAAQ,UAAQ,IAAI,QAAQ,cAAc;AAC/I,aAAK,YAAY,OAAO,KAAK,IAAI,UAAW,MAAK,YAAY,QAAQ,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAAA;AAE/H,WAAK,QAAQ;AAGb,WAAK,QAAQ;AACb,WAAK,QAAQ;AACb,YAAM,aAAa,KAAK,OAAO,KAAK,gBAAgB,KAAK,UAAU,KAAK,QAAQ,EAAE,MAAM,EAAE,aAAa,KAAK,OAAO,KAAK,UAAU,IAAK,QAAyB,SAAS,SAAS,KAAK;AACvL,UAAI,KAAK,OAAO,OAAO;AACrB,YAAI,iBAAK,OAAO,KAAK,aAAjB,mBAA2B,cAA3B,mBAAsC,SAAS;AAAe,oBAAU,KAAK,OAAO,KAAK,UAAU,AAAS,SAAQ,IAAI,QAAQ,cAAc;AAAA,iBACzI,iBAAK,OAAO,KAAK,aAAjB,mBAA2B,cAA3B,mBAAsC,SAAS;AAAc,oBAAU,KAAK,OAAO,KAAK,UAAU,AAAU,SAAQ,IAAI,QAAQ,cAAc;AACvJ,YAAI,KAAK,YAAY;AAAM,iBAAO,KAAK,YAAY;AAAA,aAC9C;AACL,oBAAY;AACZ,YAAI,iBAAK,OAAO,KAAK,aAAjB,mBAA2B,cAA3B,mBAAsC,SAAS;AAAe,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAM,AAAS,SAAQ,IAAI,QAAQ,cAAc;AAAA,iBAC/I,iBAAK,OAAO,KAAK,aAAjB,mBAA2B,cAA3B,mBAAsC,SAAS;AAAc,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAM,AAAU,SAAQ,IAAI,QAAQ,cAAc;AAC7J,aAAK,YAAY,OAAO,KAAK,IAAI,UAAW,MAAK,YAAY,QAAQ,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAAA;AAE/H,WAAK,QAAQ;AAGb,WAAK,QAAQ;AACb,WAAK,QAAQ;AACb,UAAI,KAAK,OAAO,OAAO;AACrB,YAAI,WAAK,OAAO,OAAO,cAAnB,mBAA8B,SAAS;AAAY,sBAAY,KAAK,OAAO,OAAO,UAAU,AAAQ,UAAQ,IAAI,QAAQ,KAAK,UAAU;AAAA,iBAClI,WAAK,OAAO,OAAO,cAAnB,mBAA8B,SAAS;AAAc,sBAAY,KAAK,OAAO,OAAO,UAAU,AAAU,SAAQ,IAAI,QAAQ,KAAK,UAAU;AACpJ,YAAI,KAAK,YAAY;AAAQ,iBAAO,KAAK,YAAY;AAAA,aAChD;AACL,oBAAY;AACZ,YAAI,WAAK,OAAO,OAAO,cAAnB,mBAA8B,SAAS;AAAY,sBAAY,KAAK,OAAO,OAAO,UAAU,MAAM,AAAQ,UAAQ,IAAI,QAAQ,KAAK,UAAU;AAAA,iBACxI,WAAK,OAAO,OAAO,cAAnB,mBAA8B,SAAS;AAAc,sBAAY,KAAK,OAAO,OAAO,UAAU,MAAM,AAAU,SAAQ,IAAI,QAAQ,KAAK,UAAU;AAC1J,aAAK,YAAY,SAAS,KAAK,IAAI,UAAW,MAAK,YAAY,UAAU,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAAA;AAEnI,WAAK,QAAQ;AAGb,WAAK,QAAQ;AACb,UAAI,KAAK,OAAO;AAAO,SAAC,SAAS,SAAS,SAAS,aAAa,MAAM,QAAQ,IAAI,CAAC,SAAS,SAAS,SAAS;AAG9G,WAAK,QAAQ;AACb,UAAI,aAA8B;AAClC,UAAI,KAAK,OAAO,QAAQ,SAAS;AAC/B,oBAAY;AACZ,qBAAa,CAAC,GAAG,AAAQ,MAAK,UAAU,GAAG,AAAQ,MAAK,UAAU,GAAG,AAAQ,MAAK,UAAU,GAAG,AAAQ,MAAK;AAC5G,YAAI,CAAC,KAAK,OAAO;AAAO,eAAK,YAAY,UAAU,KAAK,IAAI,UAAW,MAAK,YAAY,WAAW,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAAA,iBAClJ,KAAK,YAAY;AAAS,iBAAO,KAAK,YAAY;AAAA;AAG7D,WAAK,YAAY,QAAQ,KAAK,IAAI,UAAW,MAAK,YAAY,SAAS,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAC/H,YAAM,QAAQ,kBAAK,YAAL,mBAAc,WAAd,mBAAsB,UAAS;AAC7C,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;AAAA,YACZ,UAAU;AAAE,iBAAO,AAAQ,MAAK,SAAyB,SAAyB,SAAyB,YAAY;AAAA;AAAA;AAI7H,MAAG,yBAAQ,IAAI;AAGf,WAAK,KAAK;AACV,WAAK,QAAQ;AACb,cAAQ,KAAK;AAAA;AAAA;AAAA;AAlajB;AACA;AACA;AAqEA;",
+  "sources": ["../src/util/util.ts", "../src/config.ts", "tfjs.esm.js", "../src/image/imagefxshaders.ts", "../src/image/imagefx.ts", "../src/image/enhance.ts", "../src/image/image.ts", "../src/util/env.ts", "../src/gear/gear-agegenderrace.ts", "../src/face/antispoof.ts", "../src/face/facemeshcoords.ts", "../src/face/facemeshutil.ts", "../src/face/blazeface.ts", "../src/body/blazeposecoords.ts", "../src/body/blazepose.ts", "../src/object/labels.ts", "../src/object/centernet.ts", "../src/body/efficientposecoords.ts", "../src/body/efficientpose.ts", "../src/gear/emotion.ts", "../src/face/iris.ts", "../src/face/facemesh.ts", "../src/face/faceres.ts", "../src/hand/handposeutil.ts", "../src/hand/handposeanchors.ts", "../src/hand/handposedetector.ts", "../src/hand/handposepipeline.ts", "../src/hand/fingerdef.ts", "../src/hand/fingergesture.ts", "../src/hand/fingerpose.ts", "../src/hand/handpose.ts", "../src/util/box.ts", "../src/hand/handtrack.ts", "../src/face/liveness.ts", "../src/body/movenetcoords.ts", "../src/body/movenetfix.ts", "../src/body/movenet.ts", "../src/object/nanodet.ts", "../src/body/posenetutils.ts", "../src/body/posenet.ts", "../src/segmentation/segmentation.ts", "../src/models.ts", "../src/tfjs/humangl.ts", "../src/tfjs/backend.ts", "../src/util/draw.ts", "../src/face/mask.ts", "../src/face/angles.ts", "../src/face/face.ts", "../src/gesture/gesture.ts", "../src/util/interpolate.ts", "../src/face/match.ts", "../src/util/persons.ts", "../src/sample.ts", "../src/warmup.ts", "../src/human.ts"],
+  "sourcesContent": ["/**\n * Simple helper functions used accross codebase\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: ${path} expecting json file`);\n  return path;\n}\n\n// helper function: wrapper around console output\nexport function log(...msg): void {\n  const dt = new Date();\n  const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;\n  // eslint-disable-next-line no-console\n  if (msg) console.log(ts, 'Human:', ...msg);\n}\n\n// helper function: gets elapsed time on both browser and nodejs\nexport const now = () => {\n  if (typeof performance !== 'undefined') return performance.now();\n  return parseInt((Number(process.hrtime.bigint()) / 1000 / 1000).toString());\n};\n\n// helper function: checks current config validity\nexport function validate(defaults, config, parent = 'config', msgs: Array<{ reason: string, where: string, expected?: string }> = []) {\n  for (const key of Object.keys(config)) {\n    if (typeof config[key] === 'object') {\n      validate(defaults[key], config[key], key, msgs);\n    } else {\n      const defined = defaults && (typeof defaults[key] !== 'undefined');\n      if (!defined) msgs.push({ reason: 'unknown property', where: `${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 inheriance 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: Array) => data.reduce((acc: Array, 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) {\n  const waiting = new Promise((resolve) => { setTimeout(() => resolve(true), time); });\n  await waiting;\n}\n", "/* eslint-disable indent */\n/* eslint-disable no-multi-spaces */\n\n/** Generic config type inherited by all module types */\nexport interface GenericConfig {\n  /** @property is module enabled? */\n  enabled: boolean,\n  /** @property path to model json file */\n  modelPath: string,\n  /** @property how many max frames to go without re-running model if cached results are acceptable */\n  skipFrames: number,\n  /** @property how many max miliseconds to go without re-running model if cached results are acceptable */\n  skipTime: number,\n}\n\n/** Dectector part of face configuration */\nexport interface FaceDetectorConfig extends GenericConfig {\n  /** @property is face rotation correction performed after detecting face? */\n  rotation: boolean,\n  /** @property maximum number of detected faces */\n  maxDetected: number,\n  /** @property minimum confidence for a detected face before results are discarded */\n  minConfidence: number,\n  /** @property minimum overlap between two detected faces before one is discarded */\n  iouThreshold: number,\n  /** @property factor used to expand detected face before further analysis\n   * - default: 1.6\n   * - for high-quality inputs can be reduced to increase precision\n   * - for video inputs or low-quality inputs can be increased to allow for more flexible tracking\n   */\n  cropFactor: number,\n  /** @property should child models perform on masked image of a face */\n  mask: boolean,\n  /** @property should face detection return face tensor to be used in some other extenrnal model? */\n  return: boolean,\n}\n\n/** Mesh part of face configuration */\nexport interface FaceMeshConfig extends GenericConfig {}\n\n/** Iris part of face configuration */\nexport interface FaceIrisConfig 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  /** @property 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  /** @property 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/** 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  iris: Partial,\n  description: Partial,\n  emotion: Partial,\n  antispoof: Partial,\n  liveness: Partial,\n}\n\n/** Configures all body detection specific options */\nexport interface BodyConfig extends GenericConfig {\n  /** @property maximum numboer of detected bodies */\n  maxDetected: number,\n  /** @property minimum confidence for a detected body before results are discarded */\n  minConfidence: number,\n  detector?: {\n    /** @property path to optional body detector model json file */\n    modelPath: string\n  },\n}\n\n/** Configures all hand detection specific options */\nexport interface HandConfig extends GenericConfig {\n  /** @property should hand rotation correction be performed after hand detection? */\n  rotation: boolean,\n  /** @property minimum confidence for a detected hand before results are discarded */\n  minConfidence: number,\n  /** @property minimum overlap between two detected hands before one is discarded */\n  iouThreshold: number,\n  /** @property maximum number of detected hands */\n  maxDetected: number,\n  /** @property should hand landmarks be detected or just return detected hand box */\n  landmarks: boolean,\n  detector: {\n    /** @property path to hand detector model json */\n    modelPath?: string,\n  },\n  skeleton: {\n    /** @property 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  /** @property minimum confidence for a detected objects before results are discarded */\n  minConfidence: number,\n  /** @property minimum overlap between two detected objects before one is discarded */\n  iouThreshold: number,\n  /** @property 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  /** @property blur segmentation output by  pixels for more realistic image */\n  blur: number,\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  /** @property are image filters enabled? */\n  enabled: boolean,\n  /** @property 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  * @property\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  * @property\n  */\n  height: number,\n  /** @property return processed canvas imagedata in result */\n  return: boolean,\n  /** @property flip input as mirror image */\n  flip: boolean,\n  /** @property range: -1 (darken) to 1 (lighten) */\n  brightness: number,\n  /** @property range: -1 (reduce contrast) to 1 (increase contrast) */\n  contrast: number,\n  /** @property range: 0 (no sharpening) to 1 (maximum sharpening) */\n  sharpness: number,\n  /** @property range: 0 (no blur) to N (blur radius in pixels) */\n  blur: number\n  /** @property range: -1 (reduce saturation) to 1 (increase saturation) */\n  saturation: number,\n  /** @property range: 0 (no change) to 360 (hue rotation in degrees) */\n  hue: number,\n  /** @property image negative */\n  negative: boolean,\n  /** @property image sepia colors */\n  sepia: boolean,\n  /** @property image vintage colors */\n  vintage: boolean,\n  /** @property image kodachrome colors */\n  kodachrome: boolean,\n  /** @property image technicolor colors */\n  technicolor: boolean,\n  /** @property image polaroid camera effect */\n  polaroid: boolean,\n  /** @property range: 0 (no pixelate) to N (number of pixels to pixelate) */\n  pixelate: number,\n}\n\n/** Controlls gesture detection */\nexport interface GestureConfig {\n  /** @property is gesture detection enabled? */\n  enabled: boolean,\n}\n\n/**\n * Configuration interface definition for **Human** library\n *\n * Contains all configurable parameters\n * @typedef Config\n *\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: `humangl` for browser and `tensorflow` for nodejs\n  */\n  backend: '' | 'cpu' | 'wasm' | 'webgl' | 'humangl' | 'tensorflow' | 'webgpu',\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  /** 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: 'none' | 'face' | 'full' | 'body',\n  // warmup: string;\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 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  /** Perform immediate garbage collection on deallocated tensors instead of caching them */\n  deallocate: boolean;\n\n  /** Internal Variable */\n  skipAllowed: boolean;\n\n  /** {@link FilterConfig} */\n  filter: Partial,\n\n  /** {@link GestureConfig} */\n  gesture: Partial;\n\n  /** {@link FaceConfig} */\n  face: Partial,\n\n  /** {@link BodyConfig} */\n  body: Partial,\n\n  /** {@link HandConfig} */\n  hand: Partial,\n\n  /** {@link ObjectConfig} */\n  object: Partial,\n\n  /** {@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  wasmPath: '',\n  debug: true,\n  async: true,\n  warmup: 'full',\n  cacheSensitivity: 0.70,\n  skipAllowed: false,\n  deallocate: false,\n  filter: {\n    enabled: true,\n    equalization: false,\n    width: 0,\n    height: 0,\n    flip: false,\n    return: 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: true,\n      maxDetected: 1,\n      skipFrames: 99,\n      skipTime: 2500,\n      minConfidence: 0.2,\n      iouThreshold: 0.1,\n      cropFactor: 1.6,\n      mask: false,\n      return: false,\n    },\n    mesh: {\n      enabled: true,\n      modelPath: 'facemesh.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    detector: {\n      modelPath: '',\n    },\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-full.json',\n    },\n  },\n  object: {\n    enabled: false,\n    modelPath: 'mb3-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: 'selfie.json',\n    blur: 8,\n  },\n};\n\nexport { config as defaults };\n", "/*\n  Human\n  homepage: \n  author: '\n*/\n\n// tfjs/tf-browser.ts\nexport * from \"@tensorflow/tfjs/dist/index.js\";\nexport * from \"@tensorflow/tfjs-backend-webgl/dist/index.js\";\n\n// dist/tfjs.version.js\nvar version = \"3.11.0\";\nvar version2 = \"3.11.0\";\nvar version3 = \"3.11.0\";\nvar version4 = \"3.11.0\";\nvar version5 = \"3.11.0\";\nvar version6 = \"3.11.0\";\nvar version7 = \"3.11.0\";\nvar version8 = \"3.11.0\";\nvar version9 = {\n  tfjs: version,\n  \"tfjs-core\": version2,\n  \"tfjs-data\": version3,\n  \"tfjs-layers\": version4,\n  \"tfjs-converter\": version5,\n  \"tfjs-backend-cpu\": version6,\n  \"tfjs-backend-webgl\": version7,\n  \"tfjs-backend-wasm\": version8\n};\n\n// tfjs/tf-browser.ts\nimport { Tensor } from \"@tensorflow/tfjs/dist/index.js\";\nimport { GraphModel } from \"@tensorflow/tfjs-converter/dist/index\";\nexport {\n  GraphModel,\n  Tensor,\n  version9 as version\n};\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\nimport * as shaders from './imagefxshaders';\nimport { canvas } from './image';\n\nconst collect = (source, prefix, 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  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    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)) throw new Error(`filter: gl link failed: ${this.gl.getProgramInfoLog(this.id)}`);\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 => {\n    const shader = this.gl.createShader(type) as WebGLShader;\n    this.gl.shaderSource(shader, source);\n    this.gl.compileShader(shader);\n    if (!this.gl.getShaderParameter(shader, this.gl.COMPILE_STATUS)) throw new Error(`filter: gl compile failed: ${this.gl.getShaderInfoLog(shader)}`);\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);\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) throw new Error('filter: cannot get webgl context');\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() as WebGLFramebuffer;\n    gl.bindFramebuffer(gl.FRAMEBUFFER, fbo);\n    const renderbuffer = gl.createRenderbuffer();\n    gl.bindRenderbuffer(gl.RENDERBUFFER, renderbuffer);\n    const texture = gl.createTexture() as WebGLTexture;\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) {\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) {\n    if (shaderProgramCache[fragmentSource]) {\n      currentProgram = shaderProgramCache[fragmentSource];\n      gl.useProgram((currentProgram ? currentProgram.id : null) || null);\n      return currentProgram as GLProgram;\n    }\n    currentProgram = new GLProgram(gl, shaders.vertexIdentity, fragmentSource);\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 as GLProgram;\n  }\n\n  const filter = {\n    colorMatrix: (matrix) => { // 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      gl.uniform1fv(program.uniform['m'], m);\n      draw();\n    },\n\n    brightness: (brightness) => {\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) => {\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) => {\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) => {\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) => { // 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      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) => {\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) => {\n      const blurSizeX = (size / 7) / fxcanvas.width;\n      const blurSizeY = (size / 7) / fxcanvas.height;\n      const program = compileShader(shaders.blur);\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) => {\n      const blurSizeX = (size) / fxcanvas.width;\n      const blurSizeY = (size) / fxcanvas.height;\n      const program = compileShader(shaders.pixelate);\n      gl.uniform2f(program.uniform['size'], blurSizeX, blurSizeY);\n      draw();\n    },\n  };\n\n  // @ts-ignore this\n  this.add = function (name) {\n    // eslint-disable-next-line prefer-rest-params\n    const args = Array.prototype.slice.call(arguments, 1);\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 '../exports';\n\nexport async function histogramEqualization(inputImage: Tensor): Promise {\n  // const maxValue = 254; // using 255 results in values slightly larger than 1 due to math rounding errors\n  const squeeze = inputImage.shape.length === 4 ? tf.squeeze(inputImage) : inputImage;\n  const channels = tf.split(squeeze, 3, 2);\n  const min: Tensor[] = [tf.min(channels[0]), tf.min(channels[1]), tf.min(channels[2])];\n  const max: Tensor[] = [tf.max(channels[0]), tf.max(channels[1]), tf.max(channels[2])];\n  const absMax = await Promise.all(max.map((channel) => channel.data()));\n  const maxValue = 0.99 * Math.max(absMax[0][0], absMax[1][0], absMax[2][0]);\n  const sub = [tf.sub(channels[0], min[0]), tf.sub(channels[1], min[1]), tf.sub(channels[2], min[2])];\n  const range = [tf.sub(max[0], min[0]), tf.sub(max[1], min[1]), tf.sub(max[2], min[2])];\n  const fact = [tf.div(maxValue, range[0]), tf.div(maxValue, range[1]), tf.div(maxValue, range[2])];\n  const enh = [tf.mul(sub[0], fact[0]), tf.mul(sub[1], fact[1]), tf.mul(sub[2], fact[2])];\n  const rgb = tf.stack([enh[0], enh[1], enh[2]], 2);\n  const reshape = tf.reshape(rgb, [1, squeeze.shape[0], squeeze.shape[1], 3]);\n  tf.dispose([...channels, ...min, ...max, ...sub, ...range, ...fact, ...enh, rgb, squeeze]);\n  return reshape; // output shape is [1, height, width, 3]\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, Tensor, Config } from '../exports';\nimport { env } from '../util/env';\nimport { log } from '../util/util';\nimport * as enhance from './enhance';\n\nconst maxSize = 2048;\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 canvas(width, height): AnyCanvas {\n  let c;\n  if (env.browser) { // browser defines canvas object\n    if (env.worker) { // if runing in web  worker use OffscreenCanvas\n      c = new OffscreenCanvas(width, height);\n    } else { // otherwise use DOM canvas\n      if (typeof document === 'undefined') throw new Error('attempted to run in web worker but offscreenCanvas is not supported');\n      c = document.createElement('canvas');\n      c.width = width;\n      c.height = height;\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  }\n  // if (!c) throw new Error('cannot create canvas');\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: Tensor | null, canvas: AnyCanvas | null }> {\n  if (!input) {\n    // throw new Error('input is missing');\n    if (config.debug) log('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 env.Canvas !== 'undefined' && input instanceof env.Canvas)\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 type is 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 as Tensor)['isDisposedInternal']) throw new Error('input tensor is disposed');\n    if (!(input as Tensor)['shape']) throw new Error('input tensor has no 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, [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, [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(`could not process input tensor with shape: ${input['shape']}`);\n    if ((tensor as Tensor).dtype === 'int32') {\n      const cast = tf.cast(tensor, 'float32');\n      tf.dispose(tensor);\n      tensor = cast;\n    }\n    return { tensor, canvas: (config.filter.return ? outCanvas : null) };\n  } else {\n    // check if resizing will be needed\n    if (typeof input['readyState'] !== 'undefined' && input['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 = input['naturalWidth'] || input['videoWidth'] || input['width'] || (input['shape'] && (input['shape'][1] > 0));\n    const originalHeight = 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 = originalWidth;\n    let targetHeight = 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;\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;\n    else if ((config.filter.width || 0) > 0) targetHeight = originalHeight * ((config.filter.width || 0) / originalWidth);\n    if (!targetWidth || !targetHeight) throw new Error('input 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) return { tensor: null, canvas: inCanvas };\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() > 0) outCanvas = fx.apply(inCanvas);\n      else outCanvas = fx.draw(inCanvas);\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('cannot create output canvas');\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['data'] && input['width'] && input['height'])) { // if input is imagedata, just use it\n      if (env.browser && tf.browser) {\n        pixels = tf.browser ? tf.browser.fromPixels(input) : null;\n      } else {\n        depth = input['data'].length / input['height'] / input['width'];\n        // const arr = Uint8Array.from(input['data']);\n        const arr = new Uint8Array(input['data']['buffer']);\n        pixels = tf.tensor(arr, [input['height'], input['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); // 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);\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('cannot create tensor from input');\n    const casted = tf.cast(pixels, 'float32');\n    const tensor = config.filter.equalization ? await enhance.histogramEqualization(casted) : tf.expandDims(casted, 0);\n    tf.dispose([pixels, casted]);\n    return { tensor, canvas: (config.filter.return ? outCanvas : null) };\n  }\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, input: Tensor) {\n  let skipFrame = false;\n  if (config.cacheSensitivity === 0) return skipFrame;\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;\n  }\n  return skipFrame;\n}\n\nexport async function compare(config, 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, [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  /** 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  } = {\n      supported: undefined,\n      backend: undefined,\n      version: undefined,\n      renderer: undefined,\n    };\n  /** WebGPU detected capabilities */\n  webgpu: {\n    supported: undefined | boolean,\n    backend: undefined | boolean,\n    adapter: undefined | string,\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  /** MonkeyPatch for Canvas */\n  Canvas: undefined;\n  /** MonkeyPatch for Image */\n  Image: undefined;\n  /** MonkeyPatch for ImageData */\n  ImageData: undefined;\n\n  constructor() {\n    this.browser = typeof navigator !== 'undefined';\n    this.node = typeof process !== 'undefined';\n    this.tfjs = { version: tf.version_core };\n    this.offscreen = typeof OffscreenCanvas !== 'undefined';\n    this.initial = true;\n    // @ts-ignore WorkerGlobalScope evaluated in browser only\n    this.worker = this.browser && this.offscreen ? (typeof WorkerGlobalScope !== 'undefined') : undefined;\n    if (typeof navigator !== 'undefined') {\n      const raw = navigator.userAgent.match(/\\(([^()]+)\\)/g);\n      if (raw && raw[0]) {\n        const platformMatch = raw[0].match(/\\(([^()]+)\\)/g);\n        this.platform = (platformMatch && platformMatch[0]) ? platformMatch[0].replace(/\\(|\\)/g, '') : '';\n        this.agent = navigator.userAgent.replace(raw[0], '');\n        if (this.platform[1]) this.agent = this.agent.replace(raw[1], '');\n        this.agent = this.agent.replace(/  /g, ' ');\n        // chrome offscreencanvas gpu memory leak\n        /*\n        const isChrome = env.agent.match(/Chrome\\/.[0-9]/g);\n        const verChrome = isChrome && isChrome[0] ? isChrome[0].split('/')[1] : 0;\n        if (verChrome > 92 && verChrome < 96) {\n          log('disabling offscreenCanvas due to browser error:', isChrome ? isChrome[0] : 'unknown');\n          this.offscreen = false;\n        }\n        */\n      }\n    } else if (typeof process !== 'undefined') {\n      this.platform = `${process.platform} ${process.arch}`;\n      this.agent = `NodeJS ${process.version}`;\n    }\n  }\n\n  async updateBackend() {\n    // analyze backends\n    this.backends = Object.keys(tf.engine().registryFactory);\n    this.wasm.supported = typeof WebAssembly !== 'undefined';\n    this.wasm.backend = this.backends.includes('wasm');\n    if (this.wasm.supported && this.wasm.backend && tf.getBackend() === 'wasm') {\n      this.wasm.simd = await tf.env().getAsync('WASM_HAS_SIMD_SUPPORT');\n      this.wasm.multithread = await tf.env().getAsync('WASM_HAS_MULTITHREAD_SUPPORT');\n    }\n    const c = image.canvas(100, 100);\n    const ctx = c ? c.getContext('webgl2') : undefined; // causes too many gl contexts\n    // const ctx = typeof tf.backend().getGPGPUContext !== undefined ? tf.backend().getGPGPUContext : null;\n    this.webgl.supported = typeof ctx !== 'undefined';\n    this.webgl.backend = this.backends.includes('webgl');\n    if (this.webgl.supported && this.webgl.backend && (tf.getBackend() === 'webgl' || tf.getBackend() === 'humangl')) {\n      // @ts-ignore getGPGPUContext only exists on WebGL backend\n      const gl = tf.backend().gpgpu !== 'undefined' ? await tf.backend().getGPGPUContext().gl : null;\n      if (gl) {\n        this.webgl.version = gl.getParameter(gl.VERSION);\n        this.webgl.renderer = gl.getParameter(gl.RENDERER);\n      }\n    }\n    this.webgpu.supported = this.browser && typeof navigator['gpu'] !== 'undefined';\n    this.webgpu.backend = this.backends.includes('webgpu');\n    if (this.webgpu.supported) this.webgpu.adapter = (await navigator['gpu'].requestAdapter()).name;\n    // enumerate kernels\n    this.kernels = tf.getKernelsForBackend(tf.getBackend()).map((kernel) => kernel.kernelName.toLowerCase());\n  }\n\n  async updateCPU() {\n    const cpu = { model: '', flags: [] };\n    if (this.node && this.platform.startsWith('linux')) {\n      // eslint-disable-next-line global-require\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')) {\n            cpu.model = line.match(/:(.*)/g)[0].replace(':', '').trim();\n          }\n          if (line.startsWith('flags')) {\n            cpu.flags = line.match(/:(.*)/g)[0].replace(':', '').trim().split(' ').sort();\n          }\n        }\n      } catch { /**/ }\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", "/**\n * GEAR [gender/emotion/age/race] model implementation\n *\n * Based on: [**GEAR Predictor**](https://github.com/Udolf15/GEAR-Predictor)\n *\n * Obsolete and replaced by `faceres` that performs age/gender/descriptor analysis\n * Config placeholder: agegenderrace: { enabled: true, modelPath: 'gear.json' },\n */\n\nimport { log, join, now } from '../util/util';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport type { Config } from '../config';\nimport type { GraphModel, Tensor } from '../tfjs/types';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\n\nlet last = { age: 0 };\nlet lastTime = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n\n// eslint-disable-next-line @typescript-eslint/no-explicit-any\nexport async function load(config: Config | any) {\n  if (env.initial) model = null;\n  if (!model) {\n    model = await tf.loadGraphModel(join(config.modelBasePath, config.face.agegenderrace.modelPath)) as unknown as GraphModel;\n    if (!model || !model['modelUrl']) log('load model failed:', config.face.agegenderrace.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\n  } else if (config.debug) log('cached model:', model['modelUrl']);\n  return model;\n}\n\n// eslint-disable-next-line @typescript-eslint/no-explicit-any\nexport async function predict(image: Tensor, config: Config) {\n  if (!model) return null;\n  // @ts-ignore config disabled\n  const skipFrame = skipped < (config.face.agegenderrace?.skipFrames || 0);\n  // @ts-ignore config disabled\n  const skipTime = (config.face.agegenderrace?.skipTime || 0) > (now() - lastTime);\n  // @ts-ignore config disabled\n  if (config.skipAllowed && skipTime && skipFrame && last.age && (last.age > 0)) {\n    skipped++;\n    return last;\n  }\n  skipped = 0;\n  return new Promise(async (resolve) => {\n    if (!model?.inputs[0].shape) return;\n    const resize = tf.image.resizeBilinear(image, [model?.inputs[0].shape[2], model?.inputs[0].shape[1]], false);\n    // const enhance = tf.mul(resize, [255.0]);\n\n    let ageT;\n    let genderT;\n    let raceT;\n    const obj = { age: 0 };\n\n    // @ts-ignore array definition unavailable at compile time\n    if (config.face.agegenderrace.enabled) [ageT, genderT, raceT] = model.execute(resize, ['age_output', 'gender_output', 'race_output']);\n    lastTime = now();\n    tf.dispose(resize);\n    // tf.dispose(enhance);\n\n    if (ageT) {\n      // const data = await ageT.data();\n      // {0: 'below_20', 1: '21-25', 2: '26-30', 3: '31-40',4: '41-50', 5: '51-60', 6: 'Above60'}\n    }\n    if (genderT) {\n      // const data = await genderT.data();\n    }\n    if (raceT) {\n      // const data = await raceT.data();\n      // {0: 'white', 1: 'black', 2: 'asian', 3: 'indian', 4: 'others'}\n    }\n\n    tf.dispose(ageT);\n    tf.dispose(genderT);\n    tf.dispose(raceT);\n\n    last = obj;\n    resolve(obj);\n  });\n}\n", "/**\n * Anti-spoofing model implementation\n */\n\nimport { log, join, now } from '../util/util';\nimport type { Config } from '../config';\nimport type { GraphModel, Tensor } from '../tfjs/types';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\nconst cached: Array = [];\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) {\n    model = await tf.loadGraphModel(join(config.modelBasePath, config.face.antispoof?.modelPath || '')) as unknown as GraphModel;\n    if (!model || !model['modelUrl']) log('load model failed:', config.face.antispoof?.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\n  } else if (config.debug) log('cached model:', model['modelUrl']);\n  return model;\n}\n\nexport async function predict(image: Tensor, config: Config, idx, count) {\n  if (!model) return null;\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 * 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],\n  lipsLowerOuter: [146, 91, 181, 84, 17, 314, 405, 321, 375, 291],\n  lipsUpperInner: [78, 191, 80, 81, 82, 13, 312, 311, 310, 415, 308],\n  lipsLowerInner: [78, 95, 88, 178, 87, 14, 317, 402, 318, 324, 308],\n  rightEyeUpper0: [246, 161, 160, 159, 158, 157, 173],\n  rightEyeLower0: [33, 7, 163, 144, 145, 153, 154, 155, 133],\n  rightEyeUpper1: [247, 30, 29, 27, 28, 56, 190],\n  rightEyeLower1: [130, 25, 110, 24, 23, 22, 26, 112, 243],\n  rightEyeUpper2: [113, 225, 224, 223, 222, 221, 189],\n  rightEyeLower2: [226, 31, 228, 229, 230, 231, 232, 233, 244],\n  rightEyeLower3: [143, 111, 117, 118, 119, 120, 121, 128, 245],\n  rightEyebrowUpper: [156, 70, 63, 105, 66, 107, 55, 193],\n  rightEyebrowLower: [35, 124, 46, 53, 52, 65],\n  rightEyeIris: [473, 474, 475, 476, 477],\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 MESH_TO_IRIS_INDICES_MAP: Array<{ 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] },\n  { key: 'EyeUpper1', indices: [25, 26, 27, 28, 29, 30, 31] },\n  { key: 'EyeUpper2', indices: [41, 42, 43, 44, 45, 46, 47] },\n  { key: 'EyeLower0', indices: [0, 1, 2, 3, 4, 5, 6, 7, 8] },\n  { key: 'EyeLower1', indices: [16, 17, 18, 19, 20, 21, 22, 23, 24] },\n  { key: 'EyeLower2', indices: [32, 33, 34, 35, 36, 37, 38, 39, 40] },\n  { key: 'EyeLower3', indices: [54, 55, 56, 57, 58, 59, 60, 61, 62] },\n  // { key: 'EyebrowUpper', indices: [63, 64, 65, 66, 67, 68, 69, 70] },\n  // { key: 'EyebrowLower', indices: [48, 49, 50, 51, 52, 53] },\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: Array = [\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: Array = [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: Array = [\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: Array = [0, 4, 1, 2, 4, 3, 4, 5, 6];\n\nexport const VTX68: Array = [\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: Array = [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: Array = [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 * 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 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] => [box.startPoint[0] + (box.endPoint[0] - box.startPoint[0]) / 2, box.startPoint[1] + (box.endPoint[1] - box.startPoint[1]) / 2];\n\nexport const getClampedBox = (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) => {\n  const startPoint = [box.startPoint[0] * factor[0], box.startPoint[1] * factor[1]];\n  const endPoint = [box.endPoint[0] * factor[0], box.endPoint[1] * factor[1]];\n  return { startPoint, endPoint, landmarks: box.landmarks, confidence: box.confidence };\n};\n\nexport const cutBoxFromImageAndResize = (box, image, cropSize) => {\n  const h = image.shape[1];\n  const w = image.shape[2];\n  const crop = tf.image.cropAndResize(image, [[box.startPoint[1] / h, box.startPoint[0] / w, box.endPoint[1] / h, box.endPoint[0] / w]], [0], cropSize);\n  const norm = tf.div(crop, 255);\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 { startPoint: [center[0] - halfSize[0], center[1] - halfSize[1]] as Point, endPoint: [center[0] + halfSize[0], center[1] + halfSize[1]] as Point, landmarks: box.landmarks, confidence: box.confidence };\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 { startPoint: [Math.round(centers[0] - halfSize), Math.round(centers[1] - halfSize)] as Point, endPoint: [Math.round(centers[0] + halfSize), Math.round(centers[1] + halfSize)] as Point, landmarks: box.landmarks, confidence: box.confidence };\n};\n\nexport const calculateLandmarksBoundingBox = (landmarks) => {\n  const xs = landmarks.map((d) => d[0]);\n  const ys = landmarks.map((d) => d[1]);\n  return { startPoint: [Math.min(...xs), Math.min(...ys)] as Point, endPoint: [Math.max(...xs), Math.max(...ys)] as Point, landmarks };\n};\n\nexport const fixedRotationMatrix = [[1, 0, 0], [0, 1, 0], [0, 0, 1]];\n\nexport const normalizeRadians = (angle) => 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: Array = [];\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: Array = [];\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) {\n  const spec = { strides: [inputSize / 16, inputSize / 8], anchors: [2, 6] };\n  const anchors: Array<[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({ startPoint: box.startPoint, endPoint: box.endPoint }), 1];\n  return coordsRotated.map((coord) => ([\n    Math.round(coord[0] + dot(boxCenter, inverseRotationMatrix[0])),\n    Math.round(coord[1] + dot(boxCenter, inverseRotationMatrix[1])),\n    Math.round(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) {\n      const center: Point = getBoxCenter({ startPoint: box.startPoint, endPoint: box.endPoint });\n      const centerRaw: Point = [center[0] / input.shape[2], center[1] / input.shape[1]];\n      const rotated = tf.image.rotateWithOffset(input, angle, 0, centerRaw); // rotateWithOffset is not defined for tfjs-node\n      rotationMatrix = buildRotationMatrix(-angle, center);\n      face = cutBoxFromImageAndResize(box, rotated, [inputSize, inputSize]);\n      tf.dispose(rotated);\n    } else {\n      face = cutBoxFromImageAndResize(box, input, [inputSize, inputSize]);\n    }\n  } else {\n    face = cutBoxFromImageAndResize(box, input, [inputSize, inputSize]);\n  }\n  return [angle, rotationMatrix, face];\n}\n", "/**\n * BlazeFace, FaceMesh & Iris model implementation\n * See `facemesh.ts` for entry point\n */\n\nimport { log, join } from '../util/util';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as util from './facemeshutil';\nimport type { Config } from '../config';\nimport type { Tensor, GraphModel } from '../tfjs/types';\nimport { env } from '../util/env';\nimport type { Point } from '../result';\n\nconst keypointsCount = 6;\nlet model: GraphModel | null;\nlet anchorsData: [number, number][] = [];\nlet anchors: Tensor | null = null;\nlet inputSize = 0;\n\nexport const size = () => inputSize;\n\nexport async function load(config: Config): Promise {\n  if (env.initial) model = null;\n  if (!model) {\n    model = await tf.loadGraphModel(join(config.modelBasePath, config.face.detector?.modelPath || '')) as unknown as GraphModel;\n    if (!model || !model['modelUrl']) log('load model failed:', config.face.detector?.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\n  } else if (config.debug) log('cached model:', model['modelUrl']);\n  inputSize = model.inputs[0].shape ? model.inputs[0].shape[2] : 0;\n  if (inputSize === -1) inputSize = 64;\n  anchorsData = util.generateAnchors(inputSize);\n  anchors = tf.tensor2d(anchorsData);\n  return model;\n}\n\nfunction decodeBounds(boxOutputs) {\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, inputSize);\n  t.centersNormalized = tf.div(t.centers, inputSize);\n  t.halfBoxSize = tf.div(t.boxSizesNormalized, 2);\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, inputSize);\n  t.endNormalized = tf.mul(t.ends, inputSize);\n  const boxes = tf.concat2d([t.startNormalized, t.endNormalized], 1);\n  Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n  return boxes;\n}\n\nexport async function getBoxes(inputImage: Tensor, config: Config) {\n  // sanity check on input\n  if ((!inputImage) || (inputImage['isDisposedInternal']) || (inputImage.shape.length !== 4) || (inputImage.shape[1] < 1) || (inputImage.shape[2] < 1)) return { boxes: [] };\n  const t: Record = {};\n\n  t.resized = tf.image.resizeBilinear(inputImage, [inputSize, inputSize]);\n  t.div = tf.div(t.resized, 127.5);\n  t.normalized = tf.sub(t.div, 0.5);\n  const res = model?.execute(t.normalized) as Tensor[];\n  if (Array.isArray(res)) { // are we using tfhub or 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 {\n    t.batch = tf.squeeze(res); // when using tfhub model\n  }\n  tf.dispose(res);\n  t.boxes = decodeBounds(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\n  t.nms = await tf.image.nonMaxSuppressionAsync(t.boxes, t.scores, (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: Array<{ box: { startPoint: Point, endPoint: Point }, landmarks: Point[], confidence: number }> = [];\n  const scores = await t.scores.data();\n  for (let i = 0; i < nms.length; i++) {\n    const confidence = scores[nms[i]];\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      b.startPoint = tf.slice(b.bbox, [0, 0], [-1, 2]);\n      b.endPoint = tf.slice(b.bbox, [0, 2], [-1, 2]);\n      boxes.push({\n        box: {\n          startPoint: (await b.startPoint.data()) as unknown as Point,\n          endPoint: (await b.endPoint.data()) as unknown as Point,\n        },\n        landmarks: (await b.landmarks.array()) as Point[],\n        confidence,\n      });\n      Object.keys(b).forEach((tensor) => tf.dispose(b[tensor]));\n    }\n  }\n\n  Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n  return { boxes, scaleFactor: [inputImage.shape[2] / inputSize, inputImage.shape[1] / inputSize] };\n}\n", "/* eslint-disable no-multi-spaces */\n\nexport const kpt: Array = [\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  'leftPalm',        // 17\n  'rightPalm',       // 18\n  'leftIndex',       // 19\n  'rightIndex',      // 20\n  'leftPinky',       // 21\n  'rightPinky',      // 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  'leftThumb',       // 35\n  'leftHand',        // 36\n  'rightThumb',      // 37\n  'rightHand',       // 38\n];\n\nexport const connected: Record = {\n  leftLeg: ['leftHip', 'leftKnee', 'leftAnkle', 'leftHeel', 'leftFoot'],\n  rightLeg: ['rightHip', 'rightKnee', 'rightAnkle', 'rightHeel', 'rightFoot'],\n  torso: ['leftShoulder', 'rightShoulder', 'rightHip', 'leftHip', 'leftShoulder'],\n  leftArm: ['leftShoulder', 'leftElbow', 'leftWrist', 'leftPalm'],\n  rightArm: ['rightShoulder', 'rightElbow', 'rightWrist', 'rightPalm'],\n  leftHand: [],\n  rightHand: [],\n  head: [],\n};\n", "/**\n * BlazePose model implementation\n */\n\nimport * as tf from '../../dist/tfjs.esm.js';\nimport { log, join, now } from '../util/util';\nimport type { BodyKeypoint, BodyResult, Box, Point } from '../result';\nimport type { GraphModel, Tensor } from '../tfjs/types';\nimport type { Config } from '../config';\nimport * as coords from './blazeposecoords';\n\nconst env = { initial: true };\nconst models: [GraphModel | null, GraphModel | null] = [null, null];\nconst inputSize = [[0, 0], [0, 0]];\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet outputNodes: string[]; // different for lite/full/heavy\nlet cache: BodyResult | null = null;\nlet padding: [number, number][] = [[0, 0], [0, 0], [0, 0], [0, 0]];\nlet lastTime = 0;\n\nexport async function loadDetect(config: Config): Promise {\n  if (env.initial) models[0] = null;\n  if (!models[0] && config.body.detector?.modelPath || '') {\n    models[0] = await tf.loadGraphModel(join(config.modelBasePath, config.body.detector?.modelPath || '')) as unknown as GraphModel;\n    const inputs = Object.values(models[0].modelSignature['inputs']);\n    inputSize[0][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;\n    inputSize[0][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;\n    if (!models[0] || !models[0]['modelUrl']) log('load model failed:', config.body.detector?.modelPath);\n    else if (config.debug) log('load model:', models[0]['modelUrl']);\n  } else if (config.debug && models[0]) log('cached model:', models[0]['modelUrl']);\n  return models[0] as GraphModel;\n}\n\nexport async function loadPose(config: Config): Promise {\n  if (env.initial) models[1] = null;\n  if (!models[1]) {\n    models[1] = await tf.loadGraphModel(join(config.modelBasePath, config.body.modelPath || '')) as unknown as GraphModel;\n    const inputs = Object.values(models[1].modelSignature['inputs']);\n    inputSize[1][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;\n    inputSize[1][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;\n    if (config.body.modelPath?.includes('lite')) outputNodes = ['ld_3d', 'output_segmentation', 'output_heatmap', 'world_3d', 'output_poseflag'];\n    else outputNodes = ['Identity', 'Identity_2', 'Identity_3', 'Identity_4', 'Identity_1']; // v2 from pinto full and heavy\n    if (!models[1] || !models[1]['modelUrl']) log('load model failed:', config.body.modelPath);\n    else if (config.debug) log('load model:', models[1]['modelUrl']);\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 loadPose(config);\n  return models;\n}\n\nfunction calculateBoxes(keypoints: Array, outputSize: [number, number]): { keypointsBox: Box, keypointsBoxRaw: Box } {\n  const x = keypoints.map((a) => a.position[0]);\n  const y = keypoints.map((a) => a.position[1]);\n  const keypointsBox: Box = [Math.min(...x), Math.min(...y), Math.max(...x) - Math.min(...x), Math.max(...y) - Math.min(...y)];\n  const keypointsBoxRaw: Box = [keypointsBox[0] / outputSize[0], keypointsBox[1] / outputSize[1], keypointsBox[2] / outputSize[0], keypointsBox[3] / outputSize[1]];\n  return { keypointsBox, keypointsBoxRaw };\n}\n\nasync function prepareImage(input: Tensor): Promise {\n  const t: Record = {};\n  if (!input.shape || !input.shape[1] || !input.shape[2]) return input;\n  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, padding);\n  t.resize = tf.image.resizeBilinear(t.pad, [inputSize[1][0], inputSize[1][1]]);\n  const final = tf.div(t.resize, 255);\n  Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n  return final;\n}\n\nfunction rescaleKeypoints(keypoints: Array, outputSize: [number, number]): Array {\n  for (const kpt of keypoints) {\n    kpt.position = [\n      kpt.position[0] * (outputSize[0] + padding[2][0] + padding[2][1]) / outputSize[0] - padding[2][0],\n      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 = [\n      kpt.position[0] / outputSize[0], kpt.position[1] / outputSize[1], kpt.position[2] as number,\n    ];\n  }\n  return keypoints;\n}\n\nconst sigmoid = (x) => (1 - (1 / (1 + Math.exp(x))));\n\nasync function detectParts(input: Tensor, config: Config, outputSize: [number, number]): Promise {\n  const t: Record = {};\n  t.input = await prepareImage(input);\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  [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 */] = models[1]?.execute(t.input, outputNodes) as Tensor[]; // run model\n  const poseScoreRaw = (await t.poseflag.data())[0];\n  const poseScore = Math.max(0, (poseScoreRaw - 0.8) / (1 - 0.8)); // blow up score variance 5x\n  const points = await t.ld.data();\n  const keypointsRelative: Array = [];\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[1][0], points[depth * i + 1] / inputSize[1][1], 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    keypointsRelative.push({ part: coords.kpt[i], positionRaw, position, score: adjScore });\n  }\n  if (poseScore < (config.body.minConfidence || 0)) return null;\n  const keypoints: Array = rescaleKeypoints(keypointsRelative, outputSize); // keypoints were relative to input image which is cropped\n  const boxes = calculateBoxes(keypoints, [outputSize[0], outputSize[1]]); // now find boxes based on rescaled keypoints\n  Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n  const annotations: Record = {};\n  for (const [name, indexes] of Object.entries(coords.connected)) {\n    const pt: Array = [];\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 && 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 = { id: 0, score: Math.trunc(100 * poseScore) / 100, box: boxes.keypointsBox, boxRaw: boxes.keypointsBoxRaw, keypoints, annotations };\n  return body;\n}\n\nexport async function predict(input: Tensor, 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    cache = await detectParts(input, config, outputSize);\n    lastTime = now();\n    skipped = 0;\n  }\n  if (cache) return [cache];\n  return [];\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: [**NanoDet**](https://github.com/RangiLyu/nanodet)\n */\n\nimport { log, join, now } from '../util/util';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport { labels } from './labels';\nimport type { ObjectResult, Box } from '../result';\nimport type { GraphModel, Tensor } 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 tf.loadGraphModel(join(config.modelBasePath, config.object.modelPath || '')) as unknown as GraphModel;\n    const inputs = Object.values(model.modelSignature['inputs']);\n    inputSize = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;\n    if (!model || !model['modelUrl']) log('load model failed:', config.object.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\n  } else if (config.debug) log('cached model:', model['modelUrl']);\n  return model;\n}\n\nasync function process(res: Tensor | null, outputShape, config: Config) {\n  if (!res) return [];\n  const results: Array = [];\n  const detections = await res.array();\n  const squeezeT = tf.squeeze(res);\n  tf.dispose(res);\n  const arr = tf.split(squeezeT, 6, 1); // x1, y1, x2, y2, score, class\n  tf.dispose(squeezeT);\n  const stackT = tf.stack([arr[1], arr[0], arr[3], arr[2]], 1); // reorder dims as tf.nms expects y, x\n  const boxesT = tf.squeeze(stackT);\n  tf.dispose(stackT);\n  const scoresT = tf.squeeze(arr[4]);\n  const classesT = tf.squeeze(arr[5]);\n  arr.forEach((t) => tf.dispose(t));\n  const nmsT = await tf.image.nonMaxSuppressionAsync(boxesT, scoresT, config.object.maxDetected, config.object.iouThreshold, config.object.minConfidence);\n  tf.dispose(boxesT);\n  tf.dispose(scoresT);\n  tf.dispose(classesT);\n  const nms = await nmsT.data();\n  tf.dispose(nmsT);\n  let i = 0;\n  for (const id of nms) {\n    const score = Math.trunc(100 * detections[0][id][4]) / 100;\n    const classVal = detections[0][id][5];\n    const label = labels[classVal].label;\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  return results;\n}\n\nexport async function predict(input: Tensor, config: Config): Promise {\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], input.shape[1]];\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: Array = [\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 { log, join, now } from '../util/util';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as coords from './efficientposecoords';\nimport type { BodyResult, Point } from '../result';\nimport type { GraphModel, Tensor } 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: {} };\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) {\n    model = await tf.loadGraphModel(join(config.modelBasePath, config.body.modelPath || '')) as unknown as GraphModel;\n    if (!model || !model['modelUrl']) log('load model failed:', config.body.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\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\nfunction max2d(inputs, minScore) {\n  const [width, height] = inputs.shape;\n  return tf.tidy(() => {\n    const reshaped = tf.reshape(inputs, [height * width]); // combine all data\n    const newScore = tf.max(reshaped, 0).dataSync()[0]; // get highest score // inside tf.tidy\n    if (newScore > minScore) { // skip coordinate calculation is score is too low\n      const coordinates = tf.argMax(reshaped, 0);\n      const x = tf.mod(coordinates, width).dataSync()[0]; // inside tf.tidy\n      const y = tf.div(coordinates, tf.scalar(width, 'int32')).dataSync()[0]; // inside tf.tidy\n      return [x, y, newScore];\n    }\n    return [0, 0, newScore];\n  });\n}\n\nexport async function predict(image: Tensor, config: Config): Promise {\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      if (!model?.inputs[0].shape) return null;\n      const resize = tf.image.resizeBilinear(image, [model.inputs[0].shape[2], model.inputs[0].shape[1]], false);\n      const enhance = tf.mul(resize, 2);\n      const norm = enhance.sub(1);\n      return norm;\n    });\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 = resT.squeeze();\n      tf.dispose(resT);\n      // body parts are basically just a stack of 2d tensors\n      const stack = squeeze.unstack(2);\n      tf.dispose(squeeze);\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] = 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],\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: Array = [];\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 * Emotion model implementation\n *\n * [**Oarriaga**](https://github.com/oarriaga/face_classification)\n */\n\nimport { log, join, now } from '../util/util';\nimport type { Config } from '../config';\nimport type { GraphModel, Tensor } from '../tfjs/types';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport { env } from '../util/env';\n\nconst annotations = ['angry', 'disgust', 'fear', 'happy', 'sad', 'surprise', 'neutral'];\nlet model: GraphModel | null;\n// let last: Array<{ score: number, emotion: string }> = [];\nconst last: Array> = [];\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): Promise {\n  if (env.initial) model = null;\n  if (!model) {\n    model = await tf.loadGraphModel(join(config.modelBasePath, config.face.emotion?.modelPath || '')) as unknown as GraphModel;\n    if (!model || !model['modelUrl']) log('load model failed:', config.face.emotion?.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\n  } else if (config.debug) log('cached model:', model['modelUrl']);\n  return model;\n}\n\nexport async function predict(image: Tensor, config: Config, idx, count) {\n  if (!model) return null;\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: Array<{ score: number, emotion: string }> = [];\n    if (config.face.emotion?.enabled) {\n      const t: Record = {};\n      const inputSize = model?.inputs[0].shape ? model.inputs[0].shape[2] : 0;\n      t.resize = tf.image.resizeBilinear(image, [inputSize, inputSize], false);\n      // const box = [[0.15, 0.15, 0.85, 0.85]]; // empyrical values for top, left, bottom, right\n      // const resize = tf.image.cropAndResize(image, box, [0], [inputSize, inputSize]);\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.grayscaleSub = tf.sub(t.grayscale, 0.5);\n      t.grayscaleMul = tf.mul(t.grayscaleSub, 2);\n      t.emotion = model?.execute(t.grayscaleMul) as Tensor; // result is already in range 0..1, no need for additional activation\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] });\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", "import * as coords from './facemeshcoords';\nimport * as util from './facemeshutil';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport type { Tensor, GraphModel } from '../tfjs/types';\nimport { env } from '../util/env';\nimport { log, join } from '../util/util';\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) {\n    model = await tf.loadGraphModel(join(config.modelBasePath, config.face.iris?.modelPath || '')) as unknown as GraphModel;\n    if (!model || !model['modelUrl']) log('load model failed:', config.face.iris?.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\n  } else if (config.debug) log('cached model:', model['modelUrl']);\n  inputSize = 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\n// Update the z coordinate to be an average of the original and the new.\nfunction replaceRawCoordinates(rawCoords, newCoords, prefix, keys) {\n  for (let i = 0; i < coords.MESH_TO_IRIS_INDICES_MAP.length; i++) {\n    const { key, indices } = coords.MESH_TO_IRIS_INDICES_MAP[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], newCoords[index][1],\n          (newCoords[index][2] + rawCoords[originalIndices[j]][2]) / 2,\n        ];\n      }\n    }\n  }\n}\n\n// eslint-disable-next-line class-methods-use-this\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: Array = [];\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.\n// eslint-disable-next-line class-methods-use-this\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, config, meshSize) {\n  if (!model) {\n    if (config.debug) log('face mesh iris detection requested, but model is not loaded');\n    return rawCoords;\n  }\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);\n  const leftToRightEyeDepthDifference = getLeftToRightEyeDepthDifference(rawCoords);\n  if (Math.abs(leftToRightEyeDepthDifference) < 30) { // User is looking straight ahead.\n    replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left', null);\n    replaceRawCoordinates(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\n    // 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    replaceRawCoordinates(rawCoords, leftEyeRawCoords, 'left', ['EyeUpper0', 'EyeLower0']);\n  } else { // User is looking towards the left.\n    replaceRawCoordinates(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", "/**\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 { log, join, now } from '../util/util';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as blazeface from './blazeface';\nimport * as util from './facemeshutil';\nimport * as coords from './facemeshcoords';\nimport * as iris from './iris';\nimport { histogramEqualization } from '../image/enhance';\nimport { env } from '../util/env';\nimport type { GraphModel, Tensor } from '../tfjs/types';\nimport type { FaceResult, Point } from '../result';\nimport type { Config } from '../config';\n\ntype BoxCache = { startPoint: Point, endPoint: Point, landmarks: Array, confidence: number };\nlet boxCache: Array = [];\nlet model: GraphModel | null = null;\nlet inputSize = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\nlet lastTime = 0;\n\nexport async function predict(input: Tensor, config: Config): Promise {\n  // reset cached boxes\n  const skipTime = (config.face.detector?.skipTime || 0) > (now() - lastTime);\n  const skipFrame = skipped < (config.face.detector?.skipFrames || 0);\n  if (!config.skipAllowed || !skipTime || !skipFrame || boxCache.length === 0) {\n    const possibleBoxes = await blazeface.getBoxes(input, config); // get results from blazeface detector\n    lastTime = now();\n    boxCache = []; // empty cache\n    for (const possible of possibleBoxes.boxes) { // extract data from detector\n      const box: BoxCache = {\n        startPoint: possible.box.startPoint,\n        endPoint: possible.box.endPoint,\n        landmarks: possible.landmarks,\n        confidence: possible.confidence,\n      };\n      boxCache.push(util.squarifyBox(util.enlargeBox(util.scaleBoxCoordinates(box, possibleBoxes.scaleFactor), Math.sqrt(config.face.detector?.cropFactor || 1.6))));\n    }\n    skipped = 0;\n  } else {\n    skipped++;\n  }\n  const faces: Array = [];\n  const newCache: Array = [];\n  let id = 0;\n  for (let i = 0; i < boxCache.length; i++) {\n    let box = boxCache[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      annotations: {},\n    };\n\n    [angle, rotationMatrix, face.tensor] = util.correctFaceRotation(false && config.face.detector?.rotation, box, input, config.face.mesh?.enabled ? inputSize : blazeface.size()); // optional rotate based on detector data\n    if (config?.filter?.equalization) {\n      const equilized = await histogramEqualization(face.tensor as Tensor);\n      tf.dispose(face.tensor);\n      face.tensor = equilized;\n    }\n    face.boxScore = Math.round(100 * box.confidence) / 100;\n    if (!config.face.mesh?.enabled) { // mesh not enabled, return resuts from detector only\n      face.box = util.getClampedBox(box, input);\n      face.boxRaw = util.getRawBox(box, input);\n      face.score = face.boxScore;\n      face.mesh = box.landmarks.map((pt) => [\n        ((box.startPoint[0] + box.endPoint[0])) / 2 + ((box.endPoint[0] + box.startPoint[0]) * pt[0] / blazeface.size()),\n        ((box.startPoint[1] + box.endPoint[1])) / 2 + ((box.endPoint[1] + box.startPoint[1]) * pt[1] / blazeface.size()),\n      ]);\n      face.meshRaw = face.mesh.map((pt) => [pt[0] / (input.shape[2] || 0), pt[1] / (input.shape[1] || 0), (pt[2] || 0) / inputSize]);\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      const [contours, confidence, contourCoords] = model.execute(face.tensor as Tensor) as Array; // first returned tensor represents facial contours which are already included in the coordinates.\n      const faceConfidence = await confidence.data();\n      face.faceScore = Math.round(100 * faceConfidence[0]) / 100;\n      const coordsReshaped = tf.reshape(contourCoords, [-1, 3]);\n      let rawCoords = await coordsReshaped.array();\n      tf.dispose([contourCoords, coordsReshaped, confidence, contours]);\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      } else {\n        if (config.face.iris?.enabled) rawCoords = await iris.augmentIris(rawCoords, face.tensor, config, inputSize); // augment results with iris\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) / inputSize]);\n        for (const key of Object.keys(coords.meshAnnotations)) face.annotations[key] = coords.meshAnnotations[key].map((index) => face.mesh[index]); // add annotations\n        box = util.squarifyBox({ ...util.enlargeBox(util.calculateLandmarksBoundingBox(face.mesh), (config.face.detector?.cropFactor || 1.6)), confidence: box.confidence }); // redefine box with mesh calculated one\n        face.box = util.getClampedBox(box, input); // update detected box with box around the face mesh\n        face.boxRaw = util.getRawBox(box, input);\n        face.score = face.faceScore;\n        newCache.push(box);\n        tf.dispose(face.tensor);\n        [angle, rotationMatrix, face.tensor] = util.correctFaceRotation(config.face.detector?.rotation, box, input, inputSize); // optional rotate once more based on mesh data\n      }\n    }\n    faces.push(face);\n  }\n  boxCache = [...newCache]; // reset cache\n  return faces;\n}\n\nexport async function load(config: Config): Promise {\n  if (env.initial) model = null;\n  if (!model) {\n    model = await tf.loadGraphModel(join(config.modelBasePath, config.face.mesh?.modelPath || '')) as unknown as GraphModel;\n    if (!model || !model['modelUrl']) log('load model failed:', config.face.mesh?.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\n  } else if (config.debug) log('cached model:', model['modelUrl']);\n  inputSize = model.inputs[0].shape ? model.inputs[0].shape[2] : 0;\n  if (inputSize === -1) inputSize = 64;\n  return model;\n}\n\nexport const triangulation = coords.TRI468;\nexport const uvmap = coords.UV468;\n", "/**\n * FaceRes model implementation\n *\n * Returns Age, Gender, Descriptor\n * Implements Face simmilarity function\n *\n * Based on: [**HSE-FaceRes**](https://github.com/HSE-asavchenko/HSE_FaceRec_tf)\n */\n\nimport { log, join, now } from '../util/util';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport type { Tensor, GraphModel } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\nconst last: Array<{\n  age: number,\n  gender: string,\n  genderScore: number,\n  descriptor: number[],\n}> = [];\n\nlet lastTime = 0;\nlet lastCount = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nexport async function load(config: Config): Promise {\n  const modelUrl = join(config.modelBasePath, config.face.description?.modelPath || '');\n  if (env.initial) model = null;\n  if (!model) {\n    model = await tf.loadGraphModel(modelUrl) as unknown as GraphModel;\n    if (!model) log('load model failed:', config.face.description?.modelPath || '');\n    else if (config.debug) log('load model:', modelUrl);\n  } else if (config.debug) log('cached model:', modelUrl);\n  return model;\n}\n\nexport function enhance(input): Tensor {\n  const tensor = (input.image || input.tensor || input) as Tensor; // 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  const crop = tf.image.resizeBilinear(tensor, [model.inputs[0].shape[2], model.inputs[0].shape[1]], false);\n  const norm = tf.mul(crop, 255);\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: Tensor, config: Config, idx, count) {\n  if (!model) return null;\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 && (last[idx]?.age > 0)) {\n    skipped++;\n    return last[idx];\n  }\n  skipped = 0;\n  return new Promise(async (resolve) => {\n    const obj = {\n      age: 0,\n      gender: 'unknown',\n      genderScore: 0,\n      descriptor: [],\n    };\n\n    if (config.face.description?.enabled) {\n      const enhanced = enhance(image);\n      const resT = model?.execute(enhanced) as Tensor[];\n      lastTime = now();\n      tf.dispose(enhanced);\n      const genderT = await 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), 1);\n      const age = (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[age - 1] > all[age + 1] ? 10 * age - 100 * all[age - 1] : 10 * age + 100 * all[age + 1]) / 10;\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() : [];\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 * 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: Array = [];\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: Array = [];\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 type { Tensor, GraphModel } from '../tfjs/types';\nimport type { Point } from '../result';\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) {\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 && this.model.inputs && this.model.inputs[0].shape) ? 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, t.endPoints], 1);\n    Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n    return res;\n  }\n\n  normalizeLandmarks(rawPalmLandmarks, index) {\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]);\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, 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, 127.5);\n    t.image = tf.sub(t.div, 1);\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, t.scores, 3 * config.hand.maxDetected, config.hand.iouThreshold, config.hand.minConfidence);\n    const nms = await t.nms.array() as Array;\n    const hands: Array<{ 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] / this.inputSize, input.shape[1] / 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 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: Array<{ 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 && this.handPoseModel.inputs[0].shape ? this.handPoseModel.inputs[0].shape[2] : 0;\n    this.storedBoxes = [];\n    this.skipped = Number.MAX_SAFE_INTEGER;\n    this.detectedHands = 0;\n  }\n\n  // eslint-disable-next-line class-methods-use-this\n  calculateLandmarksBoundingBox(landmarks) {\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: Array<{ 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 = [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, 255);\n        tf.dispose(croppedInput);\n        tf.dispose(rotatedImage);\n        const [confidenceT, keypoints] = this.handPoseModel.execute(handImage) as Array;\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 * 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\n// eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars\nconst { thumb, index, middle, ring, pinky } = Finger;\n// eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars\nconst { none, half, full } = FingerCurl;\n// eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars\nconst { 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\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: Array = [];\n  const slopesYZ: Array = [];\n  const fingerCurls: Array = [];\n  const fingerDirections: Array = [];\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: Array = [];\n    const slopeAtYZ: Array = [];\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: Array<{ 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 * HandPose model implementation\n *\n * Based on: [**MediaPipe HandPose**](https://drive.google.com/file/d/1sv4sSb9BSNVZhLzxXJ0jBv9DqD-4jnAz/view)\n */\n\nimport { log, join } from '../util/util';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as handdetector from './handposedetector';\nimport * as handpipeline from './handposepipeline';\nimport * as fingerPose from './fingerpose';\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: Array = [];\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\n    const keypoints = predictions[i].landmarks as unknown as Array;\n\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 ? tf.loadGraphModel(join(config.modelBasePath, config.hand.detector?.modelPath || ''), { fromTFHub: (config.hand.detector?.modelPath || '').includes('tfhub.dev') }) as unknown as GraphModel : null,\n      config.hand.landmarks ? tf.loadGraphModel(join(config.modelBasePath, config.hand.skeleton?.modelPath || ''), { fromTFHub: (config.hand.skeleton?.modelPath || '').includes('tfhub.dev') }) as unknown as GraphModel : null,\n    ]);\n    if (config.hand.enabled) {\n      if (!handDetectorModel || !handDetectorModel['modelUrl']) log('load model failed:', config.hand.detector?.modelPath || '');\n      else if (config.debug) log('load model:', handDetectorModel['modelUrl']);\n      if (!handPoseModel || !handPoseModel['modelUrl']) log('load model failed:', config.hand.skeleton?.modelPath || '');\n      else if (config.debug) log('load model:', handPoseModel['modelUrl']);\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 = new handdetector.HandDetector(handDetectorModel);\n  handPipeline = new handpipeline.HandPipeline(handDetector, handPoseModel);\n  return [handDetectorModel, handPoseModel];\n}\n", "import type { Point, Box } from '../result';\n\nexport function calc(keypoints: Array, 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: Array, 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 * 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 { log, join, now } from '../util/util';\nimport * as box from '../util/box';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport type { HandResult, Box, Point } from '../result';\nimport type { GraphModel, Tensor } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\nimport * as fingerPose from './fingerpose';\nimport { fakeOps } from '../tfjs/backend';\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\ntype HandDetectResult = {\n  id: number,\n  score: number,\n  box: Box,\n  boxRaw: Box,\n  boxCrop: Box,\n  label: string,\n}\n\nconst cache: {\n  boxes: Array,\n  hands: Array;\n} = {\n  boxes: [],\n  hands: [],\n};\n\nconst fingerMap = {\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\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 tf.loadGraphModel(join(config.modelBasePath, config.hand.detector?.modelPath || '')) as unknown as GraphModel;\n    const inputs = Object.values(models[0].modelSignature['inputs']);\n    inputSize[0][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;\n    inputSize[0][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;\n    if (!models[0] || !models[0]['modelUrl']) log('load model failed:', config.hand.detector?.modelPath);\n    else if (config.debug) log('load model:', models[0]['modelUrl']);\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 tf.loadGraphModel(join(config.modelBasePath, config.hand.skeleton?.modelPath || '')) as unknown as GraphModel;\n    const inputs = Object.values(models[1].modelSignature['inputs']);\n    inputSize[1][0] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[1].size) : 0;\n    inputSize[1][1] = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : 0;\n    if (!models[1] || !models[1]['modelUrl']) log('load model failed:', config.hand.skeleton?.modelPath);\n    else if (config.debug) log('load model:', models[1]['modelUrl']);\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: Tensor, 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: Array = 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.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, t.max, config.hand.maxDetected, config.hand.iouThreshold, config.hand.minConfidence);\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 boxSquareSize = Math.max(boxData[3] - boxData[1], boxData[2] - boxData[0]);\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 boxCrop: Box = box.crop(boxRaw); // crop box is based on raw box\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]];\n    const hand: HandDetectResult = { id: id++, score, box: boxFull, boxRaw, boxCrop, 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: Tensor, 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    t.crop = tf.image.cropAndResize(input, [h.boxCrop], [0], [inputSize[1][0], inputSize[1][1]], 'bilinear');\n    t.cast = tf.cast(t.crop, 'float32');\n    t.div = tf.div(t.cast, 255);\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) => [\n        outputSize[0] * (kpt[0] + h.boxRaw[0]),\n        outputSize[1] * (kpt[1] + h.boxRaw[1]),\n        (kpt[2] || 0),\n      ]);\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) => (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: Tensor, config: Config): Promise {\n  if (!models[0] || !models[1] || !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, boxCrop });\n        }\n      }\n    }\n    for (let i = 0; i < cache.hands.length; i++) { // replace deteced 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 * Anti-spoofing model implementation\n */\n\nimport { log, join, now } from '../util/util';\nimport type { Config } from '../config';\nimport type { GraphModel, Tensor } from '../tfjs/types';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport { env } from '../util/env';\n\nlet model: GraphModel | null;\nconst cached: Array = [];\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) {\n    model = await tf.loadGraphModel(join(config.modelBasePath, config.face.liveness?.modelPath || '')) as unknown as GraphModel;\n    if (!model || !model['modelUrl']) log('load model failed:', config.face.liveness?.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\n  } else if (config.debug) log('cached model:', model['modelUrl']);\n  return model;\n}\n\nexport async function predict(image: Tensor, config: Config, idx, count) {\n  if (!model) return null;\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", "export const kpt: Array = [ // 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: Array = [ // 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: Array = [ // used to remove unlikely keypoint positions\n  ['leftKnee', 'leftShoulder'],\n  ['rightKnee', 'rightShoulder'],\n  ['leftAnkle', 'leftKnee'],\n  ['rightAnkle', 'rightKnee'],\n];\n\nexport const relative: Array = [ // 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", "import type { BodyKeypoint, BodyResult } from '../result';\nimport * as box from '../util/box';\nimport * as coords from './movenetcoords';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport type { Tensor } from '../tfjs/types';\n\nconst maxJitter = 0.005; // default allowed jitter is within 0.5%\n\nconst cache: {\n  keypoints: Array,\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: Array): Array {\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 || !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, [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 && 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 { log, join, now } from '../util/util';\nimport * as box from '../util/box';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as coords from './movenetcoords';\nimport * as fix from './movenetfix';\nimport type { BodyKeypoint, BodyResult, 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: Array, // unused\n  bodies: Array;\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 tf.loadGraphModel(join(config.modelBasePath, config.body.modelPath || '')) as unknown as GraphModel;\n    if (!model || !model['modelUrl']) log('load model failed:', config.body.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\n  } else if (config.debug) log('cached model:', model['modelUrl']);\n  inputSize = model.inputs[0].shape ? model.inputs[0].shape[2] : 0;\n  if (inputSize === -1) inputSize = 256;\n  return model;\n}\n\nasync function parseSinglePose(res, config, image, inputBox) {\n  const kpt = res[0][0];\n  const keypoints: Array = [];\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 = [\n        (inputBox[3] - inputBox[1]) * kpt[id][1] + inputBox[1],\n        (inputBox[2] - inputBox[0]) * kpt[id][0] + inputBox[0],\n      ];\n      keypoints.push({\n        score: Math.round(100 * score) / 100,\n        part: coords.kpt[id],\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: Array = [];\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: Array = [];\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\nasync function parseMultiPose(res, config, image, inputBox) {\n  const bodies: Array = [];\n  for (let id = 0; id < res[0].length; id++) {\n    const kpt = res[0][id];\n    const totalScore = Math.round(100 * kpt[51 + 4]) / 100;\n    if (totalScore > config.body.minConfidence) {\n      const keypoints: Array = [];\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 = [\n            (inputBox[3] - inputBox[1]) * kpt[3 * i + 1] + inputBox[1],\n            (inputBox[2] - inputBox[0]) * kpt[3 * i + 0] + inputBox[0],\n          ];\n          keypoints.push({\n            part: coords.kpt[i],\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 box: 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 = {};\n      for (const [name, indexes] of Object.entries(coords.connected)) {\n        const pt: Array = [];\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      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 || !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 cached boxes\n    /*\n    cache.bodies = []; // reset bodies result\n    if (cache.boxes.length >= (config.body.maxDetected || 0)) { // if we have enough cached boxes run detection using cache\n      for (let i = 0; i < cache.boxes.length; i++) { // run detection based on cached boxes\n        t.crop = tf.image.cropAndResize(input, [cache.boxes[i]], [0], [inputSize, inputSize], 'bilinear');\n        t.cast = tf.cast(t.crop, 'int32');\n        // t.input = prepareImage(input);\n        t.res = model?.execute(t.cast) as Tensor;\n        const res = await t.res.array();\n        const newBodies = (t.res.shape[2] === 17) ? await parseSinglePose(res, config, input, cache.boxes[i]) : await parseMultiPose(res, config, input, cache.boxes[i]);\n        cache.bodies = cache.bodies.concat(newBodies);\n        Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n      }\n    }\n    if (cache.bodies.length !== config.body.maxDetected) { // did not find enough bodies based on cached boxes so run detection on full frame\n      t.input = prepareImage(input);\n      t.res = model?.execute(t.input) as Tensor;\n      const res = await t.res.array();\n      cache.bodies = (t.res.shape[2] === 17) ? await parseSinglePose(res, config, input, [0, 0, 1, 1]) : await parseMultiPose(res, config, input, [0, 0, 1, 1]);\n      for (const body of cache.bodies) rescaleBody(body, [input.shape[2] || 1, input.shape[1] || 1]);\n      Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n    }\n    cache.boxes.length = 0; // reset cache\n    for (let i = 0; i < cache.bodies.length; i++) {\n      if (cache.bodies[i].keypoints.length > (coords.kpt.length / 2)) { // only update cache if we detected at least half keypoints\n        const scaledBox = box.scale(cache.bodies[i].boxRaw, boxExpandFact);\n        const cropBox = box.crop(scaledBox);\n        cache.boxes.push(cropBox);\n      }\n    }\n    */\n\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      ? await parseSinglePose(res, config, input, [0, 0, 1, 1])\n      : await parseMultiPose(res, config, input, [0, 0, 1, 1]);\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: [**MB3-CenterNet**](https://github.com/610265158/mobilenetv3_centernet)\n */\n\nimport { log, join, now } from '../util/util';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport { labels } from './labels';\nimport type { ObjectResult, Box } from '../result';\nimport type { GraphModel, Tensor } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\n\nlet model;\nlet last: Array = [];\nlet lastTime = 0;\nlet skipped = Number.MAX_SAFE_INTEGER;\n\nconst scaleBox = 2.5; // increase box size\n\nexport async function load(config: Config): Promise {\n  if (!model || env.initial) {\n    model = await tf.loadGraphModel(join(config.modelBasePath, config.object.modelPath || ''));\n    const inputs = Object.values(model.modelSignature['inputs']);\n    model.inputSize = Array.isArray(inputs) ? parseInt(inputs[0].tensorShape.dim[2].size) : null;\n    if (!model.inputSize) throw new Error(`cannot determine model inputSize: ${config.object.modelPath}`);\n    if (!model || !model.modelUrl) log('load model failed:', config.object.modelPath);\n    else if (config.debug) log('load model:', model.modelUrl);\n  } else if (config.debug) log('cached model:', model.modelUrl);\n  return model;\n}\n\nasync function process(res, inputSize, outputShape, config) {\n  let id = 0;\n  let results: Array = [];\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    tf.tidy(async () => { // wrap in tidy to automatically deallocate temp tensors\n      const baseSize = strideSize * 13; // 13x13=169, 26x26=676, 52x52=2704\n      // find boxes and scores output depending on stride\n      const scoresT = res.find((a) => (a.shape[1] === (baseSize ** 2) && a.shape[2] === labels.length))?.squeeze();\n      const featuresT = res.find((a) => (a.shape[1] === (baseSize ** 2) && a.shape[2] < labels.length))?.squeeze();\n      const boxesMax = featuresT.reshape([-1, 4, featuresT.shape[1] / 4]); // reshape [output] to [4, output / 4] where number is number of different features inside each stride\n      const boxIdx = await boxesMax.argMax(2).array(); // what we need is indexes of features with highest scores, not values itself\n      const scores = await scoresT.array(); // optionally use exponential scores or just as-is\n      for (let i = 0; i < scoresT.shape[0]; i++) { // total strides (x * y matrix)\n        for (let j = 0; j < scoresT.shape[1]; j++) { // one score for each class\n          const score = scores[i][j]; // get score for current position\n          if (score > config.object.minConfidence && 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) => a * (baseSize / strideSize / inputSize)); // 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,\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    });\n  }\n  // deallocate tensors\n  res.forEach((t) => tf.dispose(t));\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: Array = [];\n  if (nmsBoxes && nmsBoxes.length > 0) {\n    const nms = await tf.image.nonMaxSuppressionAsync(nmsBoxes, nmsScores, config.object.maxDetected, config.object.iouThreshold, config.object.minConfidence);\n    nmsIdx = 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: Tensor, config: Config): Promise {\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], image.shape[1]];\n    const resize = tf.image.resizeBilinear(image, [model.inputSize, model.inputSize], false);\n    const norm = tf.div(resize, 255);\n    const transpose = norm.transpose([0, 3, 1, 2]);\n    tf.dispose(norm);\n    tf.dispose(resize);\n\n    let objectT;\n    if (config.object.enabled) objectT = model.execute(transpose);\n    lastTime = now();\n    tf.dispose(transpose);\n\n    const obj = await process(objectT, model.inputSize, outputSize, config);\n    last = obj;\n    resolve(obj);\n  });\n}\n", "/**\n * PoseNet body detection model implementation constants\n * See `posenet.ts` for entry point\n */\n\nimport type { BodyResult } 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]): Array {\n  const scaleY = height / inputResolutionHeight;\n  const scaleX = width / inputResolutionWidth;\n  const scalePose = (pose, i) => ({\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,\n      part,\n      position: [Math.trunc(position.x * scaleX), Math.trunc(position.y * scaleY)],\n      positionRaw: [position.x / inputResolutionHeight, position.y / inputResolutionHeight],\n    })),\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: Array; // 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, 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, 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, b) {\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 { log, join } from '../util/util';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport type { BodyResult, Box } from '../result';\nimport type { Tensor, GraphModel } 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 */];\n\nconst localMaximumRadius = 1;\nconst outputStride = 16;\nconst squaredNmsRadius = 50 ** 2;\n\nfunction traverse(edgeId, 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],\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, heatmapY, heatmapX, scores) {\n  const [height, width] = 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: Array<{ 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: Tensor, config: Config): Promise {\n  /** posenet is mostly obsolete\n   * caching is not implemented\n   */\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: Array = model.execute(normalized, poseNetOutputs) as Array;\n    const results3d = results.map((y) => tf.squeeze(y, [0]));\n    results3d[1] = results3d[1].sigmoid(); // 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 = await 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]]) as BodyResult[];\n  return scaled;\n}\n\nexport async function load(config: Config): Promise {\n  if (!model || env.initial) {\n    model = await tf.loadGraphModel(join(config.modelBasePath, config.body.modelPath || '')) as unknown as GraphModel;\n    if (!model || !model['modelUrl']) log('load model failed:', config.body.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\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 * - [**MediaPipe Meet**](https://drive.google.com/file/d/1lnP1bRi9CSqQQXUHa13159vLELYDgDu0/preview)\n * - [**MediaPipe Selfie**](https://drive.google.com/file/d/1dCfozqknMa068vVsO2j_1FgZkW_e3VWv/preview)\n */\n\nimport { log, join } from '../util/util';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as image from '../image/image';\nimport type { GraphModel, Tensor } from '../tfjs/types';\nimport type { Config } from '../config';\nimport { env } from '../util/env';\nimport type { Input, AnyCanvas } from '../exports';\n\nlet model: GraphModel;\nlet busy = false;\n\nexport async function load(config: Config): Promise {\n  if (!model || env.initial) {\n    model = await tf.loadGraphModel(join(config.modelBasePath, config.segmentation.modelPath || '')) as unknown as GraphModel;\n    if (!model || !model['modelUrl']) log('load model failed:', config.segmentation.modelPath);\n    else if (config.debug) log('load model:', model['modelUrl']);\n  } else if (config.debug) log('cached model:', model['modelUrl']);\n  return model;\n}\n\nexport async function process(input: Input, background: Input | undefined, config: Config)\n: Promise<{ data: Array | Tensor, canvas: AnyCanvas | null, alpha: AnyCanvas | null }> {\n  if (busy) return { data: [], canvas: null, alpha: null };\n  busy = true;\n  if (!model) await load(config);\n  const inputImage = await image.process(input, config);\n  const width = inputImage.tensor?.shape[2] || 0;\n  const height = inputImage.tensor?.shape[1] || 0;\n  if (!inputImage.tensor) return { data: [], canvas: null, alpha: null };\n  const t: Record = {};\n\n  t.resize = tf.image.resizeBilinear(inputImage.tensor, [model.inputs[0].shape ? model.inputs[0].shape[1] : 0, model.inputs[0].shape ? model.inputs[0].shape[2] : 0], false);\n  tf.dispose(inputImage.tensor);\n  t.norm = tf.div(t.resize, 255);\n  t.res = model.execute(t.norm) as Tensor;\n\n  t.squeeze = tf.squeeze(t.res, 0); // meet.shape:[1,256,256,1], selfie.shape:[1,144,256,2]\n  if (t.squeeze.shape[2] === 2) {\n    t.softmax = tf.softmax(t.squeeze); // model meet has two channels for fg and bg\n    [t.bg, t.fg] = tf.unstack(t.softmax, 2);\n    t.expand = tf.expandDims(t.fg, 2);\n    t.pad = tf.expandDims(t.expand, 0);\n    t.crop = tf.image.cropAndResize(t.pad, [[0, 0, 0.5, 0.5]], [0], [width, height]);\n    // running sofmax before unstack creates 2x2 matrix so we only take upper-left quadrant\n    // otherwise run softmax after unstack and use standard resize\n    // resizeOutput = tf.image.resizeBilinear(expand, [input.tensor?.shape[1], input.tensor?.shape[2]]);\n    t.data = tf.squeeze(t.crop, 0);\n  } else {\n    t.data = tf.image.resizeBilinear(t.squeeze, [height, width]); // model selfie has a single channel that we can use directly\n  }\n  const data = Array.from(await t.data.data()) as number[];\n\n  if (env.node && !env.Canvas && (typeof ImageData === 'undefined')) {\n    if (config.debug) log('canvas support missing');\n    Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n    return { data, canvas: null, alpha: null }; // running in nodejs so return alpha array as-is\n  }\n\n  const alphaCanvas = image.canvas(width, height);\n  await tf.browser.toPixels(t.data, alphaCanvas);\n  const alphaCtx = alphaCanvas.getContext('2d') as CanvasRenderingContext2D;\n  if (config.segmentation.blur && config.segmentation.blur > 0) alphaCtx.filter = `blur(${config.segmentation.blur}px)`; // use css filter for bluring, can be done with gaussian blur manually instead\n  const alphaData = alphaCtx.getImageData(0, 0, width, height);\n\n  const compositeCanvas = image.canvas(width, height);\n  const compositeCtx = compositeCanvas.getContext('2d') as CanvasRenderingContext2D;\n  if (inputImage.canvas) compositeCtx.drawImage(inputImage.canvas, 0, 0);\n  compositeCtx.globalCompositeOperation = 'darken'; // https://developer.mozilla.org/en-US/docs/Web/API/CanvasRenderingContext2D/globalCompositeOperation // best options are: darken, color-burn, multiply\n  if (config.segmentation.blur && config.segmentation.blur > 0) compositeCtx.filter = `blur(${config.segmentation.blur}px)`; // use css filter for bluring, can be done with gaussian blur manually instead\n  compositeCtx.drawImage(alphaCanvas, 0, 0);\n  compositeCtx.globalCompositeOperation = 'source-over'; // reset composite operation\n  compositeCtx.filter = 'none'; // reset css filter\n  const compositeData = compositeCtx.getImageData(0, 0, width, height);\n  for (let i = 0; i < width * height; i++) compositeData.data[4 * i + 3] = alphaData.data[4 * i + 0]; // copy original alpha value to new composite canvas\n  compositeCtx.putImageData(compositeData, 0, 0);\n\n  let mergedCanvas: HTMLCanvasElement | OffscreenCanvas | null = null;\n  if (background && compositeCanvas) { // draw background with segmentation as overlay if background is present\n    mergedCanvas = image.canvas(width, height);\n    const bgImage = await image.process(background, config);\n    tf.dispose(bgImage.tensor);\n    const ctxMerge = mergedCanvas.getContext('2d') as CanvasRenderingContext2D;\n    ctxMerge.drawImage(bgImage.canvas as HTMLCanvasElement, 0, 0, mergedCanvas.width, mergedCanvas.height);\n    ctxMerge.drawImage(compositeCanvas, 0, 0);\n  }\n\n  Object.keys(t).forEach((tensor) => tf.dispose(t[tensor]));\n  busy = false;\n  // return { data, canvas: mergedCanvas || compositeCanvas, alpha: alphaCanvas };\n  return { data, canvas: compositeCanvas, alpha: alphaCanvas };\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 agegenderrace from './gear/gear-agegenderrace';\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 handpose from './hand/handpose';\nimport * as handtrack from './hand/handtrack';\nimport * as iris from './face/iris';\nimport * as liveness from './face/liveness';\nimport * as movenet from './body/movenet';\nimport * as nanodet from './object/nanodet';\nimport * as posenet from './body/posenet';\nimport * as segmentation from './segmentation/segmentation';\nimport type { GraphModel } from './tfjs/types';\nimport type { Human } from './human';\n\n/** Instances of all possible TFJS Graph Models used by Human\n * - loaded as needed based on configuration\n * - initialized explictly with `human.load()` method\n * - initialized implicity on first call to `human.detect()`\n * - each model can be `null` if not loaded, instance of `GraphModel` if loaded or `Promise` if loading\n */\nexport class Models {\n  age: null | GraphModel | Promise = null;\n  agegenderrace: null | GraphModel | Promise = null;\n  blazeposedetect: null | GraphModel | Promise = null;\n  blazepose: null | GraphModel | Promise = null;\n  centernet: null | GraphModel | Promise = null;\n  efficientpose: null | GraphModel | Promise = null;\n  embedding: null | GraphModel | Promise = null;\n  emotion: null | GraphModel | Promise = null;\n  facedetect: null | GraphModel | Promise = null;\n  faceiris: null | GraphModel | Promise = null;\n  facemesh: null | GraphModel | Promise = null;\n  faceres: null | GraphModel | Promise = null;\n  gender: null | GraphModel | Promise = null;\n  handpose: null | GraphModel | Promise = null;\n  handskeleton: null | GraphModel | Promise = null;\n  handtrack: null | GraphModel | Promise = null;\n  liveness: null | GraphModel | Promise = null;\n  movenet: null | GraphModel | Promise = null;\n  nanodet: null | GraphModel | Promise = null;\n  posenet: null | GraphModel | Promise = null;\n  segmentation: null | GraphModel | Promise = null;\n  antispoof: null | GraphModel | Promise = null;\n}\n\nexport function reset(instance: Human): void {\n  // if (instance.config.debug) log('resetting loaded models');\n  for (const model of Object.keys(instance.models)) instance.models[model] = null;\n}\n\n/** Load method preloads all instance.configured models on-demand */\nexport async function load(instance: Human): Promise {\n  if (env.initial) reset(instance);\n  if (instance.config.hand.enabled) { // handpose model is a combo that must be loaded as a whole\n    if (!instance.models.handpose && instance.config.hand.detector?.modelPath?.includes('handdetect')) [instance.models.handpose, instance.models.handskeleton] = await handpose.load(instance.config);\n    if (!instance.models.handskeleton && instance.config.hand.landmarks && instance.config.hand.detector?.modelPath?.includes('handdetect')) [instance.models.handpose, instance.models.handskeleton] = await handpose.load(instance.config);\n  }\n  if (instance.config.body.enabled && !instance.models.blazepose && instance.config.body?.modelPath?.includes('blazepose')) instance.models.blazepose = blazepose.loadPose(instance.config);\n  if (instance.config.body.enabled && !instance.models.blazeposedetect && instance.config.body.detector?.modelPath && instance.config.body?.modelPath?.includes('blazepose')) instance.models.blazeposedetect = blazepose.loadDetect(instance.config);\n  if (instance.config.body.enabled && !instance.models.efficientpose && instance.config.body?.modelPath?.includes('efficientpose')) instance.models.efficientpose = efficientpose.load(instance.config);\n  if (instance.config.body.enabled && !instance.models.efficientpose && instance.config.body?.modelPath?.includes('efficientpose')) instance.models.efficientpose = efficientpose.load(instance.config);\n  if (instance.config.body.enabled && !instance.models.movenet && instance.config.body?.modelPath?.includes('movenet')) instance.models.movenet = movenet.load(instance.config);\n  if (instance.config.body.enabled && !instance.models.posenet && instance.config.body?.modelPath?.includes('posenet')) instance.models.posenet = posenet.load(instance.config);\n  if (instance.config.face.enabled && !instance.models.facedetect) instance.models.facedetect = blazeface.load(instance.config);\n  if (instance.config.face.enabled && instance.config.face.antispoof?.enabled && !instance.models.antispoof) instance.models.antispoof = antispoof.load(instance.config);\n  if (instance.config.face.enabled && instance.config.face.liveness?.enabled && !instance.models.liveness) instance.models.liveness = liveness.load(instance.config);\n  if (instance.config.face.enabled && instance.config.face.description?.enabled && !instance.models.faceres) instance.models.faceres = faceres.load(instance.config);\n  if (instance.config.face.enabled && instance.config.face.emotion?.enabled && !instance.models.emotion) instance.models.emotion = emotion.load(instance.config);\n  if (instance.config.face.enabled && instance.config.face.iris?.enabled && !instance.models.faceiris) instance.models.faceiris = iris.load(instance.config);\n  if (instance.config.face.enabled && instance.config.face.mesh?.enabled && !instance.models.facemesh) instance.models.facemesh = facemesh.load(instance.config);\n  if (instance.config.face.enabled && instance.config.face['agegenderrace']?.enabled && !instance.models.agegenderrace) instance.models.agegenderrace = agegenderrace.load(instance.config);\n  if (instance.config.hand.enabled && !instance.models.handtrack && instance.config.hand.detector?.modelPath?.includes('handtrack')) instance.models.handtrack = handtrack.loadDetect(instance.config);\n  if (instance.config.hand.enabled && instance.config.hand.landmarks && !instance.models.handskeleton && instance.config.hand.detector?.modelPath?.includes('handtrack')) instance.models.handskeleton = handtrack.loadSkeleton(instance.config);\n  if (instance.config.object.enabled && !instance.models.centernet && instance.config.object?.modelPath?.includes('centernet')) instance.models.centernet = centernet.load(instance.config);\n  if (instance.config.object.enabled && !instance.models.nanodet && instance.config.object?.modelPath?.includes('nanodet')) instance.models.nanodet = nanodet.load(instance.config);\n  if (instance.config.segmentation.enabled && !instance.models.segmentation) instance.models.segmentation = segmentation.load(instance.config);\n\n  // models are loaded in parallel asynchronously so lets wait until they are actually loaded\n  for await (const model of Object.keys(instance.models)) {\n    if (instance.models[model] && typeof instance.models[model] !== 'undefined') instance.models[model] = await instance.models[model];\n  }\n}\n\nexport async function validate(instance: Human): Promise {\n  interface Op { name: string, category: string, op: string }\n  const simpleOps = ['const', 'placeholder', 'noop', 'pad', 'squeeze', 'add', 'sub', 'mul', 'div'];\n  for (const defined of Object.keys(instance.models)) {\n    if (instance.models[defined]) { // check if model is loaded\n      let models: GraphModel[] = [];\n      if (Array.isArray(instance.models[defined])) {\n        models = instance.models[defined]\n          .filter((model) => (model !== null))\n          .map((model) => ((model && model.executor) ? model : model.model));\n      } else {\n        models = [instance.models[defined]];\n      }\n      for (const model of models) {\n        if (!model) {\n          if (instance.config.debug) log('model marked as loaded but not defined:', defined);\n          continue;\n        }\n        const ops: string[] = [];\n        // @ts-ignore // executor is a private method\n        const executor = model?.executor;\n        if (executor && 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) log('model signature not determined:', defined);\n        }\n        const missing: string[] = [];\n        for (const op of ops) {\n          if (!simpleOps.includes(op) // exclude simple 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        // log('model validation ops:', defined, ops);\n        if (missing.length > 0 && instance.config.debug) log('model validation:', defined, missing);\n      }\n    }\n  }\n}\n", "/** TFJS custom backend registration */\n\nimport type { Human } from '../human';\nimport { log } from '../util/util';\nimport * as tf from '../../dist/tfjs.esm.js';\nimport * as image from '../image/image';\nimport * as models from '../models';\n// import { env } from '../env';\n\nexport const config = {\n  name: 'humangl',\n  priority: 999,\n  canvas: null,\n  gl: null,\n  extensions:  [],\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,\n    desynchronized: true,\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() as string[];\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 async function register(instance: Human): Promise {\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 || !config.gl.getParameter(config.gl.VERSION))) {\n    log('error: humangl backend invalid context');\n    models.reset(instance);\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 = await image.canvas(100, 100);\n    } catch (err) {\n      log('error: cannot create canvas:', err);\n      return;\n    }\n    try {\n      config.gl = config.canvas?.getContext('webgl2', config.webGLattr) as WebGL2RenderingContext;\n      const glv2 = config.gl.getParameter(config.gl.VERSION).includes('2.0');\n      if (!glv2) {\n        log('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', async (e) => {\n          log('error: humangl:', e.type);\n          // log('gpu memory usage:', instance.tf.engine().backendInstance.numBytesInGPU);\n          log('possible browser memory leak using webgl or conflict with multiple backend registrations');\n          instance.emit('error');\n          throw new Error('browser webgl error');\n          // log('resetting humangl backend');\n          // env.initial = true;\n          // models.reset(instance);\n          // await tf.removeBackend(config.name);\n          // await register(instance); // re-register\n        });\n        config.canvas.addEventListener('webglcontextrestored', (e) => {\n          log('error: humangl context restored:', e);\n        });\n        config.canvas.addEventListener('webglcontextcreationerror', (e) => {\n          log('error: humangl context create:', e);\n        });\n      }\n    } catch (err) {\n      log('error: cannot get WebGL context:', err);\n      return;\n    }\n    try {\n      tf.setWebGLContext(2, config.gl);\n    } catch (err) {\n      log('error: cannot set WebGL context:', err);\n      return;\n    }\n    try {\n      const ctx = new tf.GPGPUContext(config.gl);\n      tf.registerBackend(config.name, () => new tf.MathBackendWebGL(ctx), config.priority);\n    } catch (err) {\n      log('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('error: cannot update WebGL backend registration:', err);\n      return;\n    }\n    const current = tf.backend().getGPGPUContext ? tf.backend().getGPGPUContext().gl : null;\n    if (current) {\n      log(`humangl webgl version:${current.getParameter(current.VERSION)} renderer:${current.getParameter(current.RENDERER)}`);\n    } else {\n      log('error: no current gl context:', current, config.gl);\n      return;\n    }\n    try {\n      tf.ENV.set('WEBGL_VERSION', 2);\n    } catch (err) {\n      log('error: cannot set WebGL backend flags:', err);\n      return;\n    }\n    extensions();\n    log('backend registered:', config.name);\n  }\n}\n", "/** TFJS backend initialization and customization */\n\nimport type { Human } from '../human';\nimport { log, now } from '../util/util';\nimport { env } from '../util/env';\nimport * as humangl from './humangl';\nimport * as tf from '../../dist/tfjs.esm.js';\n\nfunction registerCustomOps() {\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  }\n  if (!env.kernels.includes('floormod')) {\n    const kernelMod = {\n      kernelName: 'FloorMod',\n      backendName: tf.getBackend(),\n      kernelFunc: (op) => tf.tidy(() => tf.floorDiv(op.inputs.a / op.inputs.b) * op.inputs.b + tf.mod(op.inputs.a, op.inputs.b)),\n    };\n    tf.registerKernel(kernelMod);\n    env.kernels.push('floormod');\n  }\n}\n\nexport async function check(instance: Human, force = false) {\n  instance.state = 'backend';\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      // force browser vs node backend\n      if (env.browser && instance.config.backend === 'tensorflow') {\n        if (instance.config.debug) log('override: backend set to tensorflow while running in browser');\n        instance.config.backend = 'humangl';\n      }\n      if (env.node && (instance.config.backend === 'webgl' || instance.config.backend === 'humangl')) {\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 = 'humangl';\n        } else {\n          const adapter = await navigator['gpu'].requestAdapter();\n          if (instance.config.debug) log('enumerated webgpu adapter:', adapter);\n        }\n      }\n\n      // check available backends\n      if (instance.config.backend === 'humangl') await humangl.register(instance);\n      const available = Object.keys(tf.engine().registryFactory);\n      if (instance.config.debug) log('available backends:', available);\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        if (instance.config.debug) log('wasm path:', instance.config.wasmPath);\n        if (typeof tf?.setWasmPaths !== 'undefined') await tf.setWasmPaths(instance.config.wasmPath);\n        else throw new Error('wasm backend is not loaded');\n        const simd = await tf.env().getAsync('WASM_HAS_SIMD_SUPPORT');\n        const mt = await tf.env().getAsync('WASM_HAS_MULTITHREAD_SUPPORT');\n        if (instance.config.debug) log(`wasm execution: ${simd ? 'SIMD' : 'no SIMD'} ${mt ? 'multithreaded' : 'singlethreaded'}`);\n        if (instance.config.debug && !simd) log('warning: wasm simd support is not enabled');\n      }\n\n      try {\n        await tf.setBackend(instance.config.backend);\n        await tf.ready();\n      } catch (err) {\n        log('error: cannot set backend:', instance.config.backend, err);\n        return false;\n      }\n    }\n\n    // customize humangl\n    if (tf.getBackend() === 'humangl') {\n      tf.ENV.set('CHECK_COMPUTATION_FOR_ERRORS', false);\n      tf.ENV.set('WEBGL_CPU_FORWARD', true);\n      // tf.ENV.set('WEBGL_PACK_DEPTHWISECONV', false);\n      tf.ENV.set('WEBGL_USE_SHAPES_UNIFORMS', true);\n      tf.ENV.set('CPU_HANDOFF_SIZE_THRESHOLD', 256);\n      // if (!instance.config.object.enabled) tf.ENV.set('WEBGL_FORCE_F16_TEXTURES', true); // safe to use 16bit precision\n      if (typeof instance.config['deallocate'] !== 'undefined' && instance.config['deallocate']) { // hidden param\n        log('changing webgl: WEBGL_DELETE_TEXTURE_THRESHOLD:', true);\n        tf.ENV.set('WEBGL_DELETE_TEXTURE_THRESHOLD', 0);\n      }\n      if (tf.backend().getGPGPUContext) {\n        const gl = await tf.backend().getGPGPUContext().gl;\n        if (instance.config.debug) log(`gl version:${gl.getParameter(gl.VERSION)} renderer:${gl.getParameter(gl.RENDERER)}`);\n      }\n    }\n\n    // customize webgpu\n    if (tf.getBackend() === 'webgpu') {\n      // tf.ENV.set('WEBGPU_CPU_HANDOFF_SIZE_THRESHOLD', 512);\n      // tf.ENV.set('WEBGPU_DEFERRED_SUBMIT_BATCH_SIZE', 0);\n      // tf.ENV.set('WEBGPU_CPU_FORWARD', true);\n    }\n\n    // wait for ready\n    tf.enableProdMode();\n    await tf.ready();\n\n    instance.performance.initBackend = Math.trunc(now() - timeStamp);\n    instance.config.backend = tf.getBackend();\n\n    await env.updateBackend(); // update env on backend init\n    registerCustomOps();\n    // await env.updateBackend(); // update env on backend init\n  }\n  return true;\n}\n\n// register fake missing tfjs ops\nexport function fakeOps(kernelNames: Array, 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: () => { if (config.debug) log('kernelFunc', kernelName, config.backend); },\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 { TRI468 as triangulation } from '../face/facemeshcoords';\nimport { mergeDeep, now } from './util';\nimport { env } from './env';\nimport type { Result, FaceResult, BodyResult, HandResult, ObjectResult, GestureResult, PersonResult, Point } from '../result';\nimport type { AnyCanvas } from '../exports';\n\n/** Draw Options\n * - Accessed via `human.draw.options` or provided per each draw method as the drawOptions optional parameter\n */\nexport type DrawOptions = {\n  /** draw line color */\n  color: string,\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 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}\n\nexport const options: DrawOptions = {\n  color: 'rgba(173, 216, 230, 0.6)', // 'lightblue' with light alpha channel\n  labelColor: 'rgba(173, 216, 230, 1)', // 'lightblue' with dark alpha channel\n  shadowColor: 'black',\n  font: 'small-caps 16px \"Segoe UI\"',\n  lineHeight: 18,\n  lineWidth: 4,\n  pointSize: 2,\n  roundRect: 8,\n  drawPoints: false,\n  drawLabels: true,\n  drawBoxes: true,\n  drawGestures: true,\n  drawPolygons: true,\n  drawGaze: true,\n  fillPolygons: false,\n  useDepth: true,\n  useCurves: false,\n};\n\nlet drawTime = 0;\n\nconst getCanvasContext = (input) => {\n  if (input && input.getContext) return input.getContext('2d');\n  throw new Error('invalid canvas');\n};\n\nconst rad2deg = (theta) => Math.round((theta * 180) / Math.PI);\n\nfunction point(ctx: CanvasRenderingContext2D, x, y, z, localOptions) {\n  z = z || 0;\n  ctx.fillStyle = localOptions.useDepth && z ? `rgba(${127.5 + (2 * z)}, ${127.5 - (2 * z)}, 255, 0.3)` : localOptions.color;\n  ctx.beginPath();\n  ctx.arc(x, y, localOptions.pointSize, 0, 2 * Math.PI);\n  ctx.fill();\n}\n\nfunction rect(ctx: CanvasRenderingContext2D, x, y, width, height, localOptions) {\n  ctx.beginPath();\n  if (localOptions.useCurves) {\n    const cx = (x + x + width) / 2;\n    const cy = (y + y + height) / 2;\n    ctx.ellipse(cx, cy, width / 2, height / 2, 0, 0, 2 * Math.PI);\n  } else {\n    ctx.lineWidth = localOptions.lineWidth;\n    ctx.moveTo(x + localOptions.roundRect, y);\n    ctx.lineTo(x + width - localOptions.roundRect, y);\n    ctx.quadraticCurveTo(x + width, y, x + width, y + localOptions.roundRect);\n    ctx.lineTo(x + width, y + height - localOptions.roundRect);\n    ctx.quadraticCurveTo(x + width, y + height, x + width - localOptions.roundRect, y + height);\n    ctx.lineTo(x + localOptions.roundRect, y + height);\n    ctx.quadraticCurveTo(x, y + height, x, y + height - localOptions.roundRect);\n    ctx.lineTo(x, y + localOptions.roundRect);\n    ctx.quadraticCurveTo(x, y, x + localOptions.roundRect, y);\n    ctx.closePath();\n  }\n  ctx.stroke();\n}\n\nfunction lines(ctx: CanvasRenderingContext2D, points: Point[], localOptions) {\n  if (points.length < 2) return;\n  ctx.beginPath();\n  ctx.moveTo(points[0][0], points[0][1]);\n  for (const pt of points) {\n    const z = pt[2] || 0;\n    ctx.strokeStyle = localOptions.useDepth && z !== 0 ? `rgba(${127.5 + (2 * z)}, ${127.5 - (2 * z)}, 255, 0.3)` : localOptions.color;\n    ctx.fillStyle = localOptions.useDepth && z !== 0 ? `rgba(${127.5 + (2 * z)}, ${127.5 - (2 * z)}, 255, 0.3)` : localOptions.color;\n    ctx.lineTo(pt[0], Math.round(pt[1]));\n  }\n  ctx.stroke();\n  if (localOptions.fillPolygons) {\n    ctx.closePath();\n    ctx.fill();\n  }\n}\n\nfunction curves(ctx: CanvasRenderingContext2D, points: Point[], localOptions) {\n  if (points.length < 2) return;\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\nfunction arrow(ctx: CanvasRenderingContext2D, 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\n/** draw detected gestures */\nexport async function gesture(inCanvas: AnyCanvas, result: Array, drawOptions?: Partial) {\n  const localOptions = mergeDeep(options, drawOptions);\n  if (!result || !inCanvas) return;\n  if (localOptions.drawGestures) {\n    const ctx = getCanvasContext(inCanvas);\n    ctx.font = localOptions.font;\n    ctx.fillStyle = localOptions.color;\n    let i = 1;\n    for (let j = 0; j < result.length; j++) {\n      let where: unknown[] = []; // what&where is a record\n      let what: unknown[] = []; // what&where is a record\n      [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        const label = `${where[0]} ${who}: ${what[1]}`;\n        if (localOptions.shadowColor && localOptions.shadowColor !== '') {\n          ctx.fillStyle = localOptions.shadowColor;\n          ctx.fillText(label, 8, 2 + (i * localOptions.lineHeight));\n        }\n        ctx.fillStyle = localOptions.labelColor;\n        ctx.fillText(label, 6, 0 + (i * localOptions.lineHeight));\n        i += 1;\n      }\n    }\n  }\n}\n\n/** draw detected faces */\nexport async function face(inCanvas: AnyCanvas, result: Array, drawOptions?: Partial) {\n  const localOptions = mergeDeep(options, drawOptions);\n  if (!result || !inCanvas) return;\n  const ctx = getCanvasContext(inCanvas);\n  for (const f of result) {\n    ctx.font = localOptions.font;\n    ctx.strokeStyle = localOptions.color;\n    ctx.fillStyle = localOptions.color;\n    if (localOptions.drawBoxes) rect(ctx, f.box[0], f.box[1], f.box[2], f.box[3], localOptions);\n    if (localOptions.drawLabels) {\n      // silly hack since fillText does not suport new line\n      const labels:string[] = [];\n      labels.push(`face: ${Math.trunc(100 * f.score)}%`);\n      if (f.genderScore) labels.push(`${f.gender || ''} ${Math.trunc(100 * f.genderScore)}%`);\n      if (f.age) labels.push(`age: ${f.age || ''}`);\n      if (f.iris) labels.push(`distance: ${f.iris}`);\n      if (f.real) labels.push(`real: ${Math.trunc(100 * f.real)}%`);\n      if (f.live) labels.push(`live: ${Math.trunc(100 * f.live)}%`);\n      if (f.emotion && f.emotion.length > 0) {\n        const emotion = f.emotion.map((a) => `${Math.trunc(100 * a.score)}% ${a.emotion}`);\n        if (emotion.length > 3) emotion.length = 3;\n        labels.push(emotion.join(' '));\n      }\n      if (f.rotation && f.rotation.angle && f.rotation.gaze) {\n        if (f.rotation.angle.roll) labels.push(`roll: ${rad2deg(f.rotation.angle.roll)}\u00B0 yaw:${rad2deg(f.rotation.angle.yaw)}\u00B0 pitch:${rad2deg(f.rotation.angle.pitch)}\u00B0`);\n        if (f.rotation.gaze.bearing) labels.push(`gaze: ${rad2deg(f.rotation.gaze.bearing)}\u00B0`);\n      }\n      if (labels.length === 0) labels.push('face');\n      ctx.fillStyle = localOptions.color;\n      for (let i = labels.length - 1; i >= 0; i--) {\n        const x = Math.max(f.box[0], 0);\n        const y = i * localOptions.lineHeight + f.box[1];\n        if (localOptions.shadowColor && localOptions.shadowColor !== '') {\n          ctx.fillStyle = localOptions.shadowColor;\n          ctx.fillText(labels[i], x + 5, y + 16);\n        }\n        ctx.fillStyle = localOptions.labelColor;\n        ctx.fillText(labels[i], x + 4, y + 15);\n      }\n    }\n    ctx.lineWidth = 1;\n    if (f.mesh && f.mesh.length > 0) {\n      if (localOptions.drawPoints) {\n        for (const pt of f.mesh) point(ctx, pt[0], pt[1], pt[2], localOptions);\n      }\n      if (localOptions.drawPolygons) {\n        ctx.lineWidth = 1;\n        if (f.mesh.length > 450) {\n          for (let i = 0; i < triangulation.length / 3; i++) {\n            const points = [\n              triangulation[i * 3 + 0],\n              triangulation[i * 3 + 1],\n              triangulation[i * 3 + 2],\n            ].map((index) => f.mesh[index]);\n            lines(ctx, points, localOptions);\n          }\n        }\n        // iris: array[center, left, top, right, bottom]\n        if (f.annotations && 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 && 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        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        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    }\n  }\n}\n\n/** draw detected bodies */\nexport async function body(inCanvas: AnyCanvas, result: Array, drawOptions?: Partial) {\n  const localOptions = mergeDeep(options, drawOptions);\n  if (!result || !inCanvas) return;\n  const ctx = getCanvasContext(inCanvas);\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) {\n        if (localOptions.shadowColor && localOptions.shadowColor !== '') {\n          ctx.fillStyle = localOptions.shadowColor;\n          ctx.fillText(`body ${100 * result[i].score}%`, 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(`body ${100 * result[i].score}%`, result[i].box[0] + 2, 0 + result[i].box[1] + localOptions.lineHeight, result[i].box[2]);\n      }\n    }\n    if (localOptions.drawPoints && result[i].keypoints) {\n      for (let pt = 0; pt < result[i].keypoints.length; pt++) {\n        ctx.fillStyle = localOptions.useDepth && result[i].keypoints[pt].position[2] ? `rgba(${127.5 + (2 * (result[i].keypoints[pt].position[2] || 0))}, ${127.5 - (2 * (result[i].keypoints[pt].position[2] || 0))}, 255, 0.5)` : localOptions.color;\n        point(ctx, result[i].keypoints[pt].position[0], result[i].keypoints[pt].position[1], 0, localOptions);\n      }\n    }\n    if (localOptions.drawLabels && result[i].keypoints) {\n      ctx.font = localOptions.font;\n      for (const pt of result[i].keypoints) {\n        ctx.fillStyle = localOptions.useDepth && pt.position[2] ? `rgba(${127.5 + (2 * pt.position[2])}, ${127.5 - (2 * pt.position[2])}, 255, 0.5)` : localOptions.color;\n        ctx.fillText(`${pt.part} ${Math.trunc(100 * pt.score)}%`, pt.position[0] + 4, pt.position[1] + 4);\n      }\n    }\n    if (localOptions.drawPolygons && result[i].keypoints && result[i].annotations) {\n      for (const part of Object.values(result[i].annotations)) {\n        for (const connected of part) curves(ctx, connected, localOptions);\n      }\n    }\n  }\n}\n\n/** draw detected hands */\nexport async function hand(inCanvas: AnyCanvas, result: Array, drawOptions?: Partial) {\n  const localOptions = mergeDeep(options, drawOptions);\n  if (!result || !inCanvas) return;\n  const ctx = getCanvasContext(inCanvas);\n  ctx.lineJoin = 'round';\n  ctx.font = localOptions.font;\n  for (const h of result) {\n    if (localOptions.drawBoxes) {\n      ctx.strokeStyle = localOptions.color;\n      ctx.fillStyle = localOptions.color;\n      rect(ctx, h.box[0], h.box[1], h.box[2], h.box[3], localOptions);\n      if (localOptions.drawLabels) {\n        if (localOptions.shadowColor && localOptions.shadowColor !== '') {\n          ctx.fillStyle = localOptions.shadowColor;\n          ctx.fillText(`hand:${Math.trunc(100 * h.score)}%`, h.box[0] + 3, 1 + h.box[1] + localOptions.lineHeight, h.box[2]); // can use h.label\n        }\n        ctx.fillStyle = localOptions.labelColor;\n        ctx.fillText(`hand:${Math.trunc(100 * h.score)}%`, h.box[0] + 2, 0 + h.box[1] + localOptions.lineHeight, h.box[2]); // can use h.label\n      }\n      ctx.stroke();\n    }\n    if (localOptions.drawPoints) {\n      if (h.keypoints && h.keypoints.length > 0) {\n        for (const pt of h.keypoints) {\n          ctx.fillStyle = localOptions.useDepth ? `rgba(${127.5 + (2 * (pt[2] || 0))}, ${127.5 - (2 * (pt[2] || 0))}, 255, 0.5)` : localOptions.color;\n          point(ctx, pt[0], pt[1], 0, localOptions);\n        }\n      }\n    }\n    if (localOptions.drawLabels && h.annotations) {\n      const addHandLabel = (part, title) => {\n        if (!part || part.length === 0 || !part[0]) return;\n        ctx.fillStyle = localOptions.useDepth ? `rgba(${127.5 + (2 * part[part.length - 1][2])}, ${127.5 - (2 * part[part.length - 1][2])}, 255, 0.5)` : localOptions.color;\n        ctx.fillText(title, part[part.length - 1][0] + 4, part[part.length - 1][1] + 4);\n      };\n      ctx.font = localOptions.font;\n      addHandLabel(h.annotations['index'], 'index');\n      addHandLabel(h.annotations['middle'], 'middle');\n      addHandLabel(h.annotations['ring'], 'ring');\n      addHandLabel(h.annotations['pinky'], 'pinky');\n      addHandLabel(h.annotations['thumb'], 'thumb');\n      addHandLabel(h.annotations['palm'], 'palm');\n    }\n    if (localOptions.drawPolygons && h.annotations) {\n      const addHandLine = (part) => {\n        if (!part || part.length === 0 || !part[0]) return;\n        for (let i = 0; i < part.length; i++) {\n          ctx.beginPath();\n          ctx.strokeStyle = localOptions.useDepth ? `rgba(${127.5 + (i * part[i][2])}, ${127.5 - (i * part[i][2])}, 255, 0.5)` : localOptions.color;\n          ctx.moveTo(part[i > 0 ? i - 1 : 0][0], part[i > 0 ? i - 1 : 0][1]);\n          ctx.lineTo(part[i][0], part[i][1]);\n          ctx.stroke();\n        }\n      };\n      ctx.lineWidth = localOptions.lineWidth;\n      addHandLine(h.annotations['index']);\n      addHandLine(h.annotations['middle']);\n      addHandLine(h.annotations['ring']);\n      addHandLine(h.annotations['pinky']);\n      addHandLine(h.annotations['thumb']);\n      // addPart(h.annotations.palm);\n    }\n  }\n}\n\n/** draw detected objects */\nexport async function object(inCanvas: AnyCanvas, result: Array, drawOptions?: Partial) {\n  const localOptions = mergeDeep(options, drawOptions);\n  if (!result || !inCanvas) return;\n  const ctx = getCanvasContext(inCanvas);\n  ctx.lineJoin = 'round';\n  ctx.font = localOptions.font;\n  for (const h of result) {\n    if (localOptions.drawBoxes) {\n      ctx.strokeStyle = localOptions.color;\n      ctx.fillStyle = localOptions.color;\n      rect(ctx, h.box[0], h.box[1], h.box[2], h.box[3], localOptions);\n      if (localOptions.drawLabels) {\n        const label = `${h.label} ${Math.round(100 * h.score)}%`;\n        if (localOptions.shadowColor && localOptions.shadowColor !== '') {\n          ctx.fillStyle = localOptions.shadowColor;\n          ctx.fillText(label, h.box[0] + 3, 1 + h.box[1] + localOptions.lineHeight, h.box[2]);\n        }\n        ctx.fillStyle = localOptions.labelColor;\n        ctx.fillText(label, h.box[0] + 2, 0 + h.box[1] + localOptions.lineHeight, h.box[2]);\n      }\n      ctx.stroke();\n    }\n  }\n}\n\n/** draw combined person results instead of individual detection result objects */\nexport async function person(inCanvas: AnyCanvas, result: Array, drawOptions?: Partial) {\n  const localOptions = mergeDeep(options, drawOptions);\n  if (!result || !inCanvas) return;\n  const ctx = getCanvasContext(inCanvas);\n  ctx.lineJoin = 'round';\n  ctx.font = localOptions.font;\n\n  for (let i = 0; i < result.length; i++) {\n    if (localOptions.drawBoxes) {\n      ctx.strokeStyle = localOptions.color;\n      ctx.fillStyle = localOptions.color;\n      rect(ctx, result[i].box[0], result[i].box[1], result[i].box[2], result[i].box[3], localOptions);\n      if (localOptions.drawLabels) {\n        const label = `person #${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 async function canvas(input: AnyCanvas | HTMLImageElement | HTMLMediaElement | HTMLVideoElement, output: HTMLCanvasElement) {\n  if (!input || !output) return;\n  const ctx = getCanvasContext(output);\n  ctx.drawImage(input, 0, 0);\n}\n\n/** meta-function that performs draw for: canvas, face, body, hand\n * @returns {Promise}\n*/\nexport async function all(inCanvas: AnyCanvas, result: Result, drawOptions?: Partial) {\n  if (!result || !result.performance || !result || !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", "import type { Tensor } from '../tfjs/types';\nimport type { FaceResult } from '../result';\nimport * 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: Array<{ 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  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: Array<{ 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", "// eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars\nconst rad2deg = (theta) => Math.round((theta * 180) / Math.PI);\n\nconst calculateGaze = (face): { bearing: number, strength: number } => {\n  const radians = (pt1, pt2) => 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] > face.mesh[263][2]; // 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\n  const eyeDiff = [ // 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] ** 2) + (eyeDiff[1] ** 2)); // 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\n  return { bearing, strength };\n};\n\nexport const calculateFaceAngle = (face, imageSize): {\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) => { // 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, b) => { // 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, b) => { // 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) => {\n    // eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars\n    const [r00, r01, r02, r10, r11, r12, r20, r21, r22] = r;\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 (isNaN(thetaX)) thetaX = 0;\n    if (isNaN(thetaY)) thetaY = 0;\n    if (isNaN(thetaZ)) thetaZ = 0;\n    return { pitch: 2 * -thetaX, yaw: 2 * -thetaY, roll: 2 * -thetaZ };\n  };\n  // simple Euler angle calculation based existing 3D mesh\n  // eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars\n  const meshToEulerAngle = (mesh) => {\n    const radians = (a1, a2, b1, b2) => Math.atan2(b2 - a2, b1 - a1);\n    // eslint-disable-next-line no-unused-vars, @typescript-eslint/no-unused-vars\n    const angle = {\n      // 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 is face move up/down\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\n      // yaw is face turn left/right\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\n      // roll is face lean 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\n    };\n    return angle;\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 = [mesh[10], mesh[152], mesh[234], mesh[454]].map((pt) => [\n    // make the xyz coordinates proportional, independent of the image/box size\n    pt[0] * imageSize[0] / size,\n    pt[1] * imageSize[1] / size,\n    pt[2],\n  ]);\n\n  const y_axis = normalize(subVectors(pts[1], pts[0]));\n  let x_axis = normalize(subVectors(pts[3], pts[2]));\n  const z_axis = normalize(crossVectors(x_axis, y_axis));\n  // adjust x_axis to make sure that all axes are perpendicular to each other\n  x_axis = crossVectors(y_axis, z_axis);\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    x_axis[0], x_axis[1], x_axis[2],\n    y_axis[0], y_axis[1], y_axis[2],\n    z_axis[0], z_axis[1], z_axis[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", "/**\n * Face algorithm implementation\n * Uses FaceMesh, Emotion and FaceRes models to create a unified pipeline\n */\n\nimport { log, now } from '../util/util';\nimport { env } from '../util/env';\nimport * as tf from '../../dist/tfjs.esm.js';\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 type { FaceResult } from '../result';\nimport type { Tensor } from '../tfjs/types';\nimport type { Human } from '../human';\nimport { calculateFaceAngle } from './angles';\n\nexport const detectFace = async (parent: Human /* instance of human */, input: Tensor): Promise => {\n  // run facemesh, includes blazeface and iris\n  // eslint-disable-next-line no-async-promise-executor\n  let timeStamp;\n  let ageRes;\n  let gearRes;\n  let genderRes;\n  let emotionRes;\n  let embeddingRes;\n  let antispoofRes;\n  let livenessRes;\n  let descRes;\n  const faceRes: Array = [];\n  parent.state = 'run:face';\n  timeStamp = now();\n\n  const faces = await facemesh.predict(input, parent.config);\n  parent.performance.face = env.perfadd ? (parent.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    parent.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 (parent.config.face.detector?.mask) {\n      const masked = await mask.mask(faces[i]);\n      tf.dispose(faces[i].tensor);\n      faces[i].tensor = masked as Tensor;\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    parent.analyze('Start Emotion:');\n    if (parent.config.async) {\n      emotionRes = parent.config.face.emotion?.enabled ? emotion.predict(faces[i].tensor || tf.tensor([]), parent.config, i, faces.length) : null;\n    } else {\n      parent.state = 'run:emotion';\n      timeStamp = now();\n      emotionRes = parent.config.face.emotion?.enabled ? await emotion.predict(faces[i].tensor || tf.tensor([]), parent.config, i, faces.length) : null;\n      parent.performance.emotion = env.perfadd ? (parent.performance.emotion || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n    }\n    parent.analyze('End Emotion:');\n\n    // run antispoof, inherits face from blazeface\n    parent.analyze('Start AntiSpoof:');\n    if (parent.config.async) {\n      antispoofRes = parent.config.face.antispoof?.enabled ? antispoof.predict(faces[i].tensor || tf.tensor([]), parent.config, i, faces.length) : null;\n    } else {\n      parent.state = 'run:antispoof';\n      timeStamp = now();\n      antispoofRes = parent.config.face.antispoof?.enabled ? await antispoof.predict(faces[i].tensor || tf.tensor([]), parent.config, i, faces.length) : null;\n      parent.performance.antispoof = env.perfadd ? (parent.performance.antispoof || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n    }\n    parent.analyze('End AntiSpoof:');\n\n    // run liveness, inherits face from blazeface\n    parent.analyze('Start Liveness:');\n    if (parent.config.async) {\n      livenessRes = parent.config.face.liveness?.enabled ? liveness.predict(faces[i].tensor || tf.tensor([]), parent.config, i, faces.length) : null;\n    } else {\n      parent.state = 'run:liveness';\n      timeStamp = now();\n      livenessRes = parent.config.face.liveness?.enabled ? await liveness.predict(faces[i].tensor || tf.tensor([]), parent.config, i, faces.length) : null;\n      parent.performance.antispoof = env.perfadd ? (parent.performance.antispoof || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n    }\n    parent.analyze('End Liveness:');\n\n    // run gear, inherits face from blazeface\n    /*\n    parent.analyze('Start GEAR:');\n    if (parent.config.async) {\n      gearRes = parent.config.face.agegenderrace.enabled ? agegenderrace.predict(faces[i].tensor || tf.tensor([]), parent.config, i, faces.length) : {};\n    } else {\n      parent.state = 'run:gear';\n      timeStamp = now();\n      gearRes = parent.config.face.agegenderrace.enabled ? await agegenderrace.predict(faces[i].tensor || tf.tensor([]), parent.config, i, faces.length) : {};\n      parent.performance.emotion = Math.trunc(now() - timeStamp);\n    }\n    parent.analyze('End GEAR:');\n    */\n\n    // run emotion, inherits face from blazeface\n    parent.analyze('Start Description:');\n    if (parent.config.async) {\n      descRes = parent.config.face.description?.enabled ? faceres.predict(faces[i].tensor || tf.tensor([]), parent.config, i, faces.length) : null;\n    } else {\n      parent.state = 'run:description';\n      timeStamp = now();\n      descRes = parent.config.face.description?.enabled ? await faceres.predict(faces[i].tensor || tf.tensor([]), parent.config, i, faces.length) : null;\n      parent.performance.description = env.perfadd ? (parent.performance.description || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);\n    }\n    parent.analyze('End Description:');\n\n    // if async wait for results\n    if (parent.config.async) {\n      [ageRes, genderRes, emotionRes, embeddingRes, descRes, gearRes, antispoofRes, livenessRes] = await Promise.all([ageRes, genderRes, emotionRes, embeddingRes, descRes, gearRes, antispoofRes, livenessRes]);\n    }\n\n    parent.analyze('Finish Face:');\n\n    // calculate iris distance\n    // iris: array[ center, left, top, right, bottom]\n    if (!parent.config.face.iris?.enabled && faces[i]?.annotations?.leftEyeIris && faces[i]?.annotations?.rightEyeIris) {\n      delete faces[i].annotations.leftEyeIris;\n      delete faces[i].annotations.rightEyeIris;\n    }\n    const irisSize = (faces[i].annotations && faces[i].annotations.leftEyeIris && faces[i].annotations.leftEyeIris[0] && faces[i].annotations.rightEyeIris && faces[i].annotations.rightEyeIris[0]\n      && (faces[i].annotations.leftEyeIris.length > 0) && (faces[i].annotations.rightEyeIris.length > 0)\n      && (faces[i].annotations.leftEyeIris[0] !== null) && (faces[i].annotations.rightEyeIris[0] !== null))\n      ? Math.max(Math.abs(faces[i].annotations.leftEyeIris[3][0] - faces[i].annotations.leftEyeIris[1][0]), Math.abs(faces[i].annotations.rightEyeIris[4][1] - faces[i].annotations.rightEyeIris[2][1])) / input.shape[2]\n      : 0; // note: average human iris size is 11.7mm\n\n    // optionally return tensor\n    const tensor = parent.config.face.detector?.return ? tf.squeeze(faces[i].tensor) : 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    faceRes.push({\n      ...faces[i],\n      id: i,\n      age: descRes?.age,\n      gender: descRes?.gender,\n      genderScore: descRes?.genderScore,\n      embedding: descRes?.descriptor,\n      emotion: emotionRes,\n      real: antispoofRes,\n      live: livenessRes,\n      iris: irisSize !== 0 ? Math.trunc(500 / irisSize / 11.7) / 100 : 0,\n      rotation,\n      tensor,\n    });\n    parent.analyze('End Face');\n  }\n  parent.analyze('End FaceMesh:');\n  if (parent.config.async) {\n    if (parent.performance.face) delete parent.performance.face;\n    if (parent.performance.age) delete parent.performance.age;\n    if (parent.performance.gender) delete parent.performance.gender;\n    if (parent.performance.emotion) delete parent.performance.emotion;\n  }\n  return faceRes;\n};\n", "/**\n * Gesture detection algorithm\n */\n\nimport type { GestureResult } from '../result';\nimport * as fingerPose from '../hand/fingerpose';\n\n/**\n * @typedef FaceGesture\n */\nexport type FaceGesture =\n  `facing ${'left' | 'center' | 'right'}`\n  | `blink ${'left' | 'right'} eye`\n  | `mouth ${number}% open`\n  | `head ${'up' | 'down'}`;\n\n/**\n * @typedef IrisGesture\n */\nexport type IrisGesture =\n  'facing center'\n  | `looking ${'left' | 'right' | 'up' | 'down'}`\n  | 'looking center';\n\n/**\n * @typedef BodyGesture\n */\nexport type BodyGesture =\n  `leaning ${'left' | 'right'}`\n  | `raise ${'left' | 'right'} hand`\n  | 'i give up';\n\n/**\n * @typedef BodyGesture\n */\nexport type HandGesture =\n  `${'thumb' | 'index' | 'middle' | 'ring' | 'pinky'} forward`\n  | `${'thumb' | 'index' | 'middle' | 'ring' | 'pinky'} up`\n  | 'victory'\n  | 'thumbs up';\n\nexport const body = (res): GestureResult[] => {\n  if (!res) return [];\n  const gestures: Array<{ 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): GestureResult[] => {\n  if (!res) return [];\n  const gestures: Array<{ 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] - res[i].mesh[263][2];\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];\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): GestureResult[] => {\n  if (!res) return [];\n  const gestures: Array<{ iris: number, gesture: IrisGesture }> = [];\n  for (let i = 0; i < res.length; i++) {\n    if (!res[i].annotations || !res[i].annotations.leftEyeIris || !res[i].annotations.leftEyeIris[0] || !res[i].annotations.rightEyeIris || !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): GestureResult[] => {\n  if (!res) return [];\n  const gestures: Array<{ hand: number, gesture: HandGesture }> = [];\n  for (let i = 0; i < res.length; i++) {\n    const fingers: Array<{ name: string, position: number }> = [];\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] < a.position[2] ? 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", "/**\n * Results interpolation for smoothening of video detection results inbetween detected frames\n */\n\nimport type { Result, FaceResult, BodyResult, HandResult, ObjectResult, GestureResult, PersonResult, Box, Point } 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 = { face: [], body: [], hand: [], gesture: [], object: [], persons: [], performance: {}, timestamp: 0 };\nlet interpolateTime = 0;\n\nexport function calc(newResult: Result, config: Config): Result {\n  const t0 = now();\n  if (!newResult) return { face: [], body: [], hand: [], gesture: [], object: [], persons: [], performance: {}, timestamp: 0 };\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  // 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  const bufferedFactor = elapsed < 1000 ? 8 - Math.log(elapsed + 1) : 1;\n\n  bufferedResult.canvas = newResult.canvas;\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((b, j) => ((bufferedFactor - 1) * bufferedResult.body[i].box[j] + b) / bufferedFactor) as Box;\n      const boxRaw = newResult.body[i].boxRaw // update boxRaw\n        .map((b, j) => ((bufferedFactor - 1) * bufferedResult.body[i].boxRaw[j] + b) / bufferedFactor) as Box;\n      const keypoints = (newResult.body[i].keypoints // update keypoints\n        .map((keypoint, j) => ({\n          score: keypoint.score,\n          part: keypoint.part,\n          position: [\n            bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * bufferedResult.body[i].keypoints[j].position[0] + keypoint.position[0]) / bufferedFactor : keypoint.position[0],\n            bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * bufferedResult.body[i].keypoints[j].position[1] + keypoint.position[1]) / bufferedFactor : keypoint.position[1],\n          ],\n          positionRaw: [\n            bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * bufferedResult.body[i].keypoints[j].positionRaw[0] + keypoint.positionRaw[0]) / bufferedFactor : keypoint.position[0],\n            bufferedResult.body[i].keypoints[j] ? ((bufferedFactor - 1) * bufferedResult.body[i].keypoints[j].positionRaw[1] + keypoint.positionRaw[1]) / bufferedFactor : keypoint.position[1],\n          ],\n        }))) as Array<{ score: number, part: string, position: [number, number, number?], positionRaw: [number, number, number?] }>;\n      const annotations: Record = {};\n\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: Array = [];\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        }\n        annotations[name] = pt;\n      }\n      bufferedResult.body[i] = { ...newResult.body[i], box, boxRaw, keypoints, annotations: annotations as BodyResult['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 as HandResult[])); // 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] && newResult.hand[i].annotations[key][0]\n            ? newResult.hand[i].annotations[key]\n              .map((val, j) => val\n                .map((coord, k) => ((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      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 }; // shallow clone plus updated values\n      }\n      bufferedResult.face[i] = { ...newResult.face[i], box, boxRaw }; // shallow clone plus updated values\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  // just copy latest gestures without interpolation\n  if (newResult.gesture) bufferedResult.gesture = newResult.gesture as GestureResult[];\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", "/** Face descriptor type as number array */\nexport type Descriptor = Array\nexport type MatchOptions = { order?: number, threshold?: number, multiplier?: number, min?: number, max?: number } | undefined;\n\n/** Calculates distance between two descriptors\n * @param {object} options\n * @param {number} options.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 * @param {number} options.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 * @returns {number}\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  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 {object} options\n * @param {number} options.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 * @param {number} options.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 * @param {number} options.min normalize similarity result to a given range\n * @param {number} options.max normalzie similarity resutl to a given range\n * - default is 0.2...0.8\n * @returns {number} 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 {object} options\n * @param {number} options.order see {@link similarity}\n * @param {number} options.multiplier see {@link similarity}\n * @returns {object}\n * - `index` index array index where best match was found or -1 if no matches\n * - {@link distance} calculated `distance` of given descriptor to the best match\n * - {@link similarity} calculated normalized `similarity` of given descriptor to the best match\n*/\nexport function match(descriptor: Descriptor, descriptors: Array, 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 || descriptor.length !== descriptors[0].length) { // 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 = distance(descriptor, descriptors[i], options);\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 * 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: Array, bodies: Array, hands: Array, gestures: Array, shape: Array | undefined): Array {\n  let id = 0;\n  const persons: Array = [];\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 beloning 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 && 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 excercise loaded models for faster future inference\n */\n\nimport { log, now, mergeDeep } from './util/util';\nimport * as sample from './sample';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as image from './image/image';\nimport type { Config } from './config';\nimport type { Result } from './result';\nimport type { Human } from './human';\nimport type { Tensor } from './tfjs/types';\nimport { env } from './util/env';\n\nasync function warmupBitmap(instance: Human) {\n  const b64toBlob = (base64: string, type = 'application/octet-stream') => fetch(`data:${type};base64,${base64}`).then((res) => res.blob());\n  let blob;\n  let res;\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) {\n  return new Promise((resolve) => {\n    let src;\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 = null;\n    }\n    // src = encodeURI('../assets/human-sample-upper.jpg');\n    let img;\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    img.onload = async () => {\n      const canvas = image.canvas(img.naturalWidth, img.naturalHeight);\n      if (!canvas) {\n        log('Warmup: Canvas not found');\n        resolve({});\n      } else {\n        const ctx = canvas.getContext('2d');\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);\n        const res = await instance.detect(tensor.tensor as Tensor, instance.config);\n        resolve(res);\n      }\n    };\n    if (src) img.src = src;\n    else resolve(null);\n  });\n}\n\nasync function warmupNode(instance: Human) {\n  const atob = (str: string) => Buffer.from(str, 'base64');\n  let img;\n  if (instance.config.warmup === 'face') img = atob(sample.face);\n  if (instance.config.warmup === 'body' || instance.config.warmup === 'full') img = atob(sample.body);\n  if (!img) return null;\n  let res;\n  if (typeof tf['node'] !== 'undefined') {\n    const data = tf['node'].decodeJpeg(img);\n    const expanded = data.expandDims(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  return res;\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?: Config\n*/\nexport async function warmup(instance: Human, userConfig?: Partial): Promise {\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 === 'none') return { error: 'null' };\n  let res;\n  return new Promise(async (resolve) => {\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    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 { log, now, mergeDeep, validate } from './util/util';\nimport { defaults } from './config';\nimport { env, Env } from './util/env';\nimport * as tf from '../dist/tfjs.esm.js';\nimport * as app from '../package.json';\nimport * as backend from './tfjs/backend';\nimport * as blazepose from './body/blazepose';\nimport * as centernet from './object/centernet';\nimport * as draw from './util/draw';\nimport * as efficientpose from './body/efficientpose';\nimport * as face from './face/face';\nimport * as facemesh from './face/facemesh';\nimport * as faceres from './face/faceres';\nimport * as gesture from './gesture/gesture';\nimport * as handpose from './hand/handpose';\nimport * as handtrack from './hand/handtrack';\nimport * as humangl from './tfjs/humangl';\nimport * as image from './image/image';\nimport * as interpolate from './util/interpolate';\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 segmentation from './segmentation/segmentation';\nimport * as warmups from './warmup';\n// type definitions\nimport type { Input, Tensor, DrawOptions, Config, Result, FaceResult, HandResult, BodyResult, ObjectResult, GestureResult, PersonResult } from './exports';\n// type exports\nexport * from './exports';\n\n/** Instance of TensorFlow/JS used by Human\n * - Can be TFJS that is bundled with `Human` or a manually imported TFJS library\n * @external [API](https://js.tensorflow.org/api/latest/)\n */\nexport type TensorFlow = typeof tf;\n\n/** Error message */\nexport type Error = {\n  /** @property error message */\n  error: string,\n};\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: OffscreenCanvas | HTMLCanvasElement | null };\n\n  /** Instance of TensorFlow/JS used by Human\n   *  - Can be embedded or externally provided\n   * @internal\n   *\n   * [TFJS API]\n   */\n  tf: TensorFlow;\n\n  /** Object containing environment information used for diagnostics */\n  env: Env;\n\n  /** Draw helper classes that can draw detected objects on canvas using specified draw\n   * @property options global settings for all draw operations, can be overriden for each draw method {@link DrawOptions}\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\n  /** Currently loaded models\n   * @internal\n   * {@link Models}\n  */\n  models: models.Models;\n\n  /** Container for events dispatched by Human\n   * {@type} EventTarget\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: typeof facemesh.triangulation;\n  /** Refernce UV map of 468 values, used for 3D mapping of the face mesh */\n  faceUVMap: typeof facemesh.uvmap;\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  /** WebGL debug info */\n  gl: Record;\n  // definition end\n\n  /** Constructor for **Human** library that is futher used for all operations\n   *\n   * @param {Config} userConfig\n   * @returns {Human}\n   */\n  constructor(userConfig?: Partial) {\n    this.env = env;\n    defaults.wasmPath = tf.version_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    defaults.modelBasePath = env.browser ? '../models/' : 'file://models/';\n    defaults.backend = env.browser ? 'humangl' : 'tensorflow';\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    if (userConfig) this.config = mergeDeep(this.config, userConfig);\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();\n    // reexport draw methods\n    this.draw = {\n      options: draw.options as DrawOptions,\n      canvas: (input: HTMLCanvasElement | OffscreenCanvas | HTMLImageElement | HTMLMediaElement | HTMLVideoElement, output: HTMLCanvasElement) => draw.canvas(input, output),\n      face: (output: HTMLCanvasElement | OffscreenCanvas, result: FaceResult[], options?: Partial) => draw.face(output, result, options),\n      body: (output: HTMLCanvasElement | OffscreenCanvas, result: BodyResult[], options?: Partial) => draw.body(output, result, options),\n      hand: (output: HTMLCanvasElement | OffscreenCanvas, result: HandResult[], options?: Partial) => draw.hand(output, result, options),\n      gesture: (output: HTMLCanvasElement | OffscreenCanvas, result: GestureResult[], options?: Partial) => draw.gesture(output, result, options),\n      object: (output: HTMLCanvasElement | OffscreenCanvas, result: ObjectResult[], options?: Partial) => draw.object(output, result, options),\n      person: (output: HTMLCanvasElement | OffscreenCanvas, result: PersonResult[], options?: Partial) => draw.person(output, result, options),\n      all: (output: HTMLCanvasElement | OffscreenCanvas, result: Result, options?: Partial) => draw.all(output, result, options),\n    };\n    this.result = { face: [], body: [], hand: [], gesture: [], object: [], performance: {}, timestamp: 0, persons: [] };\n    // export access to image processing\n    // @ts-ignore eslint-typescript cannot correctly infer type in anonymous function\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    // set gl info\n    this.gl = humangl.config;\n    // include platform info\n    this.emit('create');\n  }\n\n  // helper function: measure tensor leak\n  /** @hidden */\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  // quick sanity check on inputs\n  /** @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  }\n\n  /** Validate current configuration schema */\n  validate(userConfig?: Partial) {\n    return validate(defaults, userConfig || this.config);\n  }\n\n  /** Exports face matching methods */\n  public similarity = match.similarity;\n  public distance = match.distance;\n  public match = match.match;\n\n  /** Utility wrapper for performance.now() */\n  now(): number {\n    return now();\n  }\n\n  /** Process input as return canvas and tensor\n   *\n   * @param input: {@link Input}\n   * @param {boolean} input.getTensor should image processing also return tensor or just canvas\n   * @returns { tensor, canvas }\n   */\n  image(input: Input, getTensor: boolean = true) {\n    return image.process(input, this.config, getTensor);\n  }\n\n  /** Segmentation method takes any input and returns processed canvas with body segmentation\n   *  - Segmentation is not triggered as part of detect process\n   *\n   *  Returns:\n   *\n   * @param input: {@link Input}\n   * @param background?: {@link Input}\n   *  - Optional parameter background is used to fill the background with specific input\n   * @returns {object}\n   *  - `data` as raw data array with per-pixel segmentation values\n   *  - `canvas` as canvas which is input image filtered with segementation data and optionally merged with background image. canvas alpha values are set to segmentation values for easy merging\n   *  - `alpha` as grayscale canvas that represents segmentation alpha values\n   */\n  async segmentation(input: Input, background?: Input): Promise<{ data: number[] | Tensor, canvas: HTMLCanvasElement | OffscreenCanvas | null, alpha: HTMLCanvasElement | OffscreenCanvas | null }> {\n    return segmentation.process(input, background, this.config);\n  }\n\n  /** Enhance method performs additional enhacements to face image previously detected for futher processing\n   *\n   * @param input: Tensor as provided in human.result.face[n].tensor\n   * @returns Tensor\n   */\n  // eslint-disable-next-line class-methods-use-this\n  enhance(input: Tensor): Tensor | null {\n    return faceres.enhance(input);\n  }\n\n  /** Compare two input tensors for pixel simmilarity\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   * @returns {number}\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   * @returns {void}\n   */\n  async init(): Promise {\n    await backend.check(this, true);\n    await this.tf.ready();\n  }\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   * @return Promise\n  */\n  async load(userConfig?: Partial): Promise {\n    this.state = 'load';\n    const timeStamp = now();\n    const count = Object.values(this.models).filter((model) => model).length;\n    if (userConfig) this.config = mergeDeep(this.config, userConfig) as Config;\n\n    if (this.env.initial) { // print version info on first run and check for correct backend setup\n      if (this.config.debug) log(`version: ${this.version}`);\n      if (this.config.debug) log(`tfjs version: ${this.tf.version_core}`);\n      if (!await backend.check(this)) 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('environment:', this.env);\n        if (this.config.debug) log('tf flags:', this.tf.ENV['flags']);\n      }\n    }\n\n    await 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).filter((model) => model).length;\n    if (loaded !== count) { // number of loaded models changed\n      await models.validate(this); // 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 as number || 0)) this.performance.loadModels = this.env.perfadd ? (this.performance.loadModels || 0) + current : current;\n  }\n\n  // emit event\n  /** @hidden */\n  emit = (event: string) => {\n    if (this.events && 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) as Result;\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> {\n    const profile = await this.tf.profile(() => this.detect(input, userConfig));\n    const kernels = {};\n    for (const kernel of profile.kernels) { // sum kernel time values per kernel\n      if (kernels[kernel.name]) kernels[kernel.name] += kernel.kernelTimeMs;\n      else kernels[kernel.name] = kernel.kernelTimeMs;\n    }\n    const kernelArr: Array<{ name, ms }> = [];\n    Object.entries(kernels).forEach((key) => kernelArr.push({ name: key[0], ms: key[1] })); // convert to array\n    kernelArr.sort((a, b) => b.ms - a.ms); // sort\n    kernelArr.length = 20; // crop\n    const res: Record = {};\n    for (const kernel of kernelArr) res[kernel.name] = kernel.ms; // create perf objects\n    return res;\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        resolve({ error });\n      }\n\n      const timeStart = now();\n\n      // configure backend if needed\n      await backend.check(this);\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: HTMLCanvasElement | OffscreenCanvas, tensor: Tensor };\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        resolve({ error: '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      if (!this.performance.totalFrames) this.performance.totalFrames = 0;\n      if (!this.performance.cachedFrames) this.performance.cachedFrames = 0;\n      (this.performance.totalFrames as number)++;\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), ...gesture.body(bodyRes), ...gesture.hand(handRes), ...gesture.iris(faceRes)];\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 || [];\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        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\n/** Class Human as default export */\n/* eslint no-restricted-exports: [\"off\", { \"restrictedNamedExports\": [\"default\"] }] */\nexport { Human as default };\n"],
+  "mappings": ";;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;AAKO,cAAc,QAAgB,MAAsB;AACzD,QAAM,YAAY,OAAO,SAAS,OAAO,KAAK;AAC9C,QAAM,WAAW,KAAK,WAAW,QAAQ,KAAK,WAAW,QAAQ,KAAK,WAAW,YAAY,KAAK,WAAW,aAAa,KAAK,WAAW;AAC1I,QAAM,OAAO,WAAW,GAAG,SAAS,GAAG,SAAS,YAAY;AAC5D,MAAI,CAAC,KAAK,oBAAoB,SAAS;AAAU,UAAM,IAAI,MAAM,oBAAoB;AACrF,SAAO;AAAA;AAIF,gBAAgB,KAAW;AAChC,QAAM,KAAK,IAAI;AACf,QAAM,KAAK,GAAG,GAAG,WAAW,WAAW,SAAS,GAAG,QAAQ,GAAG,aAAa,WAAW,SAAS,GAAG,QAAQ,GAAG,aAAa,WAAW,SAAS,GAAG,QAAQ,GAAG,kBAAkB,WAAW,SAAS,GAAG;AAErM,MAAI;AAAK,YAAQ,IAAI,IAAI,UAAU,GAAG;AAAA;AAIjC,IAAM,MAAM,MAAM;AACvB,MAAI,OAAO,gBAAgB;AAAa,WAAO,YAAY;AAC3D,SAAO,SAAU,QAAO,QAAQ,OAAO,YAAY,MAAO,KAAM;AAAA;AAI3D,kBAAkB,UAAU,SAAQ,SAAS,UAAU,OAAoE,IAAI;AACpI,aAAW,OAAO,OAAO,KAAK,UAAS;AACrC,QAAI,OAAO,QAAO,SAAS,UAAU;AACnC,eAAS,SAAS,MAAM,QAAO,MAAM,KAAK;AAAA,WACrC;AACL,YAAM,UAAU,YAAa,OAAO,SAAS,SAAS;AACtD,UAAI,CAAC;AAAS,aAAK,KAAK,EAAE,QAAQ,oBAAoB,OAAO,GAAG,UAAU,SAAS,QAAO;AAC1F,YAAM,OAAO,YAAY,OAAO,SAAS,SAAS,OAAO,QAAO;AAChE,UAAI,WAAW,CAAC;AAAM,aAAK,KAAK,EAAE,QAAQ,0BAA0B,OAAO,GAAG,UAAU,SAAS,QAAO,QAAQ,UAAU,OAAO,SAAS;AAAA;AAAA;AAI9I,MAAI,QAAO,SAAS,WAAW,YAAY,KAAK,SAAS;AAAG,QAAI,yBAAyB;AACzF,SAAO;AAAA;AAIF,sBAAsB,SAAS;AACpC,QAAM,WAAW,CAAC,QAAQ,OAAO,OAAO,QAAQ;AAChD,SAAO,QAAQ,OAAO,CAAC,MAAM,QAAQ;AACnC,WAAO,KAAK,OAAO,IAAI,QAAQ,CAAC,QAAQ;AACtC,YAAM,OAAO,KAAK;AAClB,YAAM,OAAO,IAAI;AACjB,UAAI,MAAM,QAAQ,SAAS,MAAM,QAAQ;AAAO,aAAK,OAAO,KAAK,OAAO,GAAG;AAAA,eAClE,SAAS,SAAS,SAAS;AAAO,aAAK,OAAO,UAAU,MAAM;AAAA;AAClE,aAAK,OAAO;AAAA;AAEnB,WAAO;AAAA,KACN;AAAA;;;ACgOL,IAAM,SAAiB;AAAA,EACrB,SAAS;AAAA,EACT,eAAe;AAAA,EACf,UAAU;AAAA,EACV,OAAO;AAAA,EACP,OAAO;AAAA,EACP,QAAQ;AAAA,EACR,kBAAkB;AAAA,EAClB,aAAa;AAAA,EACb,YAAY;AAAA,EACZ,QAAQ;AAAA,IACN,SAAS;AAAA,IACT,cAAc;AAAA,IACd,OAAO;AAAA,IACP,QAAQ;AAAA,IACR,MAAM;AAAA,IACN,QAAQ;AAAA,IACR,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;AAAA,EAEZ,SAAS;AAAA,IACP,SAAS;AAAA;AAAA,EAEX,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,cAAc;AAAA,MACd,YAAY;AAAA,MACZ,MAAM;AAAA,MACN,QAAQ;AAAA;AAAA,IAEV,MAAM;AAAA,MACJ,SAAS;AAAA,MACT,WAAW;AAAA;AAAA,IAEb,MAAM;AAAA,MACJ,SAAS;AAAA,MACT,WAAW;AAAA;AAAA,IAEb,SAAS;AAAA,MACP,SAAS;AAAA,MACT,eAAe;AAAA,MACf,YAAY;AAAA,MACZ,UAAU;AAAA,MACV,WAAW;AAAA;AAAA,IAEb,aAAa;AAAA,MACX,SAAS;AAAA,MACT,WAAW;AAAA,MACX,YAAY;AAAA,MACZ,UAAU;AAAA,MACV,eAAe;AAAA;AAAA,IAEjB,WAAW;AAAA,MACT,SAAS;AAAA,MACT,YAAY;AAAA,MACZ,UAAU;AAAA,MACV,WAAW;AAAA;AAAA,IAEb,UAAU;AAAA,MACR,SAAS;AAAA,MACT,YAAY;AAAA,MACZ,UAAU;AAAA,MACV,WAAW;AAAA;AAAA;AAAA,EAGf,MAAM;AAAA,IACJ,SAAS;AAAA,IACT,WAAW;AAAA,IACX,UAAU;AAAA,MACR,WAAW;AAAA;AAAA,IAEb,aAAa;AAAA,IACb,eAAe;AAAA,IACf,YAAY;AAAA,IACZ,UAAU;AAAA;AAAA,EAEZ,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;AAAA,IAEb,UAAU;AAAA,MACR,WAAW;AAAA;AAAA;AAAA,EAGf,QAAQ;AAAA,IACN,SAAS;AAAA,IACT,WAAW;AAAA,IACX,eAAe;AAAA,IACf,cAAc;AAAA,IACd,aAAa;AAAA,IACb,YAAY;AAAA,IACZ,UAAU;AAAA;AAAA,EAEZ,cAAc;AAAA,IACZ,SAAS;AAAA,IACT,WAAW;AAAA,IACX,MAAM;AAAA;AAAA;;;AClZV;AAAA;AAAA;AAAA;AAAA;AAAA;AAOA;AACA;AADA;AACA;AAuBA;AACA;AArBA,IAAI,UAAU;AACd,IAAI,WAAW;AACf,IAAI,WAAW;AACf,IAAI,WAAW;AACf,IAAI,WAAW;AACf,IAAI,WAAW;AACf,IAAI,WAAW;AACf,IAAI,WAAW;AACf,IAAI,WAAW;AAAA,EACb,MAAM;AAAA,EACN,aAAa;AAAA,EACb,aAAa;AAAA,EACb,eAAe;AAAA,EACf,kBAAkB;AAAA,EAClB,oBAAoB;AAAA,EACpB,sBAAsB;AAAA,EACtB,qBAAqB;AAAA;;;AC3BhB,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;;;ACjF3B,IAAM,UAAU,CAAC,QAAQ,QAAQ,eAAe;AAC9C,QAAM,IAAI,IAAI,OAAO,QAAQ,SAAS,gBAAgB;AACtD,SAAO,QAAQ,GAAG,CAAC,QAAO,SAAS;AACjC,eAAW,QAAQ;AACnB,WAAO;AAAA;AAAA;AAIX,sBAAgB;AAAA,EAKd,YAAY,IAAI,cAAc,gBAAgB;AAJ9C,mCAAU;AACV,qCAAY;AACZ;AACA;AAkBA,mCAAU,CAAC,QAAQ,SAAsB;AACvC,YAAM,SAAS,KAAK,GAAG,aAAa;AACpC,WAAK,GAAG,aAAa,QAAQ;AAC7B,WAAK,GAAG,cAAc;AACtB,UAAI,CAAC,KAAK,GAAG,mBAAmB,QAAQ,KAAK,GAAG;AAAiB,cAAM,IAAI,MAAM,8BAA8B,KAAK,GAAG,iBAAiB;AACxI,aAAO;AAAA;AArBP,SAAK,KAAK;AACV,UAAM,eAAe,KAAK,QAAQ,cAAc,KAAK,GAAG;AACxD,UAAM,iBAAiB,KAAK,QAAQ,gBAAgB,KAAK,GAAG;AAC5D,SAAK,KAAK,KAAK,GAAG;AAClB,SAAK,GAAG,aAAa,KAAK,IAAI;AAC9B,SAAK,GAAG,aAAa,KAAK,IAAI;AAC9B,SAAK,GAAG,YAAY,KAAK;AACzB,QAAI,CAAC,KAAK,GAAG,oBAAoB,KAAK,IAAI,KAAK,GAAG;AAAc,YAAM,IAAI,MAAM,2BAA2B,KAAK,GAAG,kBAAkB,KAAK;AAC1I,SAAK,GAAG,WAAW,KAAK;AACxB,YAAQ,cAAc,aAAa,KAAK;AACxC,eAAW,KAAK,KAAK;AAAW,WAAK,UAAU,KAAK,KAAK,GAAG,kBAAkB,KAAK,IAAI;AACvF,YAAQ,cAAc,WAAW,KAAK;AACtC,YAAQ,gBAAgB,WAAW,KAAK;AACxC,eAAW,KAAK,KAAK;AAAS,WAAK,QAAQ,KAAK,KAAK,GAAG,mBAAmB,KAAK,IAAI;AAAA;AAAA;AAqBjF,yBAAyB;AAC9B,MAAI,YAAY;AAChB,MAAI,gBAAqC;AACzC,MAAI,cAAc;AAClB,MAAI,0BAA0B;AAC9B,MAAI,mBAAoG,CAAC,MAAM;AAC/G,MAAI,cAAyC;AAC7C,MAAI,eAAmC;AACvC,MAAI,iBAAmC;AACvC,QAAM,WAAW,OAAO,KAAK;AAC7B,QAAM,qBAAqB;AAC3B,QAAM,OAAO,EAAE,cAAc;AAC7B,QAAM,KAAK,SAAS,WAAW;AAC/B,MAAI,CAAC;AAAI,UAAM,IAAI,MAAM;AAEzB,kBAAgB,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;AAC9G,qBAAe,GAAG;AAClB,SAAG,WAAW,GAAG,cAAc;AAC/B,SAAG,WAAW,GAAG,cAAc,UAAU,GAAG;AAC5C,SAAG,YAAY,GAAG,gCAAgC;AAAA;AAEpD,OAAG,SAAS,GAAG,GAAG,SAAS,OAAO,SAAS;AAC3C,uBAAmB,CAAC,MAAM;AAAA;AAG5B,oCAAkC,OAAO,QAAQ;AAC/C,UAAM,MAAM,GAAG;AACf,OAAG,gBAAgB,GAAG,aAAa;AACnC,UAAM,eAAe,GAAG;AACxB,OAAG,iBAAiB,GAAG,cAAc;AACrC,UAAM,UAAU,GAAG;AACnB,OAAG,YAAY,GAAG,YAAY;AAC9B,OAAG,WAAW,GAAG,YAAY,GAAG,GAAG,MAAM,OAAO,QAAQ,GAAG,GAAG,MAAM,GAAG,eAAe;AACtF,OAAG,cAAc,GAAG,YAAY,GAAG,oBAAoB,GAAG;AAC1D,OAAG,cAAc,GAAG,YAAY,GAAG,oBAAoB,GAAG;AAC1D,OAAG,cAAc,GAAG,YAAY,GAAG,gBAAgB,GAAG;AACtD,OAAG,cAAc,GAAG,YAAY,GAAG,gBAAgB,GAAG;AACtD,OAAG,qBAAqB,GAAG,aAAa,GAAG,mBAAmB,GAAG,YAAY,SAAS;AACtF,OAAG,YAAY,GAAG,YAAY;AAC9B,OAAG,gBAAgB,GAAG,aAAa;AACnC,WAAO,EAAE,KAAK;AAAA;AAGhB,8BAA4B,QAAO;AACjC,qBAAiB,UAAS,iBAAiB,WAAU,yBAAyB,SAAS,OAAO,SAAS;AACvG,WAAO,iBAAiB;AAAA;AAG1B,iBAAc,QAAQ,GAAG;AACvB,QAAI,CAAC;AAAgB;AACrB,QAAI,SAA8B;AAClC,QAAI,SAAkC;AACtC,QAAI,QAAQ;AACZ,QAAI,cAAc;AAAG,eAAS;AAAA;AACzB,eAAS,mBAAmB,yBAAyB,WAAW;AACrE;AACA,QAAI,eAAe,CAAE,SAAQ,KAAK,eAAe;AAC/C,eAAS;AACT,cAAQ,YAAY,MAAM;AAAA,WACrB;AACL,gCAA2B,2BAA0B,KAAK;AAC1D,eAAS,mBAAmB,yBAAyB,OAAO;AAAA;AAE9D,OAAG,YAAY,GAAG,YAAY;AAC9B,OAAG,gBAAgB,GAAG,aAAa;AACnC,OAAG,UAAU,eAAe,QAAQ,UAAW,QAAQ,KAAK;AAC5D,OAAG,WAAW,GAAG,WAAW,GAAG;AAAA;AAGjC,yBAAuB,gBAAgB;AACrC,QAAI,mBAAmB,iBAAiB;AACtC,uBAAiB,mBAAmB;AACpC,SAAG,WAAY,kBAAiB,eAAe,KAAK,SAAS;AAC7D,aAAO;AAAA;AAET,qBAAiB,IAAI,UAAU,IAAY,gBAAgB;AAC3D,UAAM,YAAY,aAAa;AAC/B,UAAM,WAAW,IAAI;AACrB,OAAG,wBAAwB,eAAe,UAAU;AACpD,OAAG,oBAAoB,eAAe,UAAU,QAAQ,GAAG,GAAG,OAAO,OAAO,UAAU,IAAI;AAC1F,OAAG,wBAAwB,eAAe,UAAU;AACpD,OAAG,oBAAoB,eAAe,UAAU,OAAO,GAAG,GAAG,OAAO,OAAO,UAAU,IAAI;AACzF,uBAAmB,kBAAkB;AACrC,WAAO;AAAA;AAGT,QAAM,SAAS;AAAA,IACb,aAAa,CAAC,WAAW;AACvB,YAAM,IAAI,IAAI,aAAa;AAC3B,QAAE,MAAM;AACR,QAAE,MAAM;AACR,QAAE,OAAO;AACT,QAAE,OAAO;AACT,YAAM,SAAU,EAAE,QAAQ,KAAK,EAAE,OAAO,KAAK,EAAE,OAAO,KAAK,EAAE,QAAQ,KAAK,EAAE,QAAQ,KAAK,EAAE,QAAQ,KAAK,EAAE,QAAQ,KAAK,EAAE,QAAQ,IACrH,0BACA;AACZ,YAAM,UAAU,cAAc;AAC9B,SAAG,WAAW,QAAQ,QAAQ,MAAM;AACpC;AAAA;AAAA,IAGF,YAAY,CAAC,eAAe;AAC1B,YAAM,IAAK,eAAc,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;AAAA;AAAA,IAIhB,YAAY,CAAC,WAAW;AACtB,YAAM,IAAK,WAAU,KAAK,IAAI,IAAI;AAClC,YAAM,IAAM,KAAI,KAAK;AACrB,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;AAAA;AAAA,IAIhB,YAAY,MAAM;AAChB,aAAO,WAAW;AAAA;AAAA,IAGpB,UAAU,CAAC,WAAW;AACpB,YAAM,IAAK,WAAU,KAAK;AAC1B,YAAM,IAAI,OAAQ,KAAI;AACtB,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;AAAA;AAAA,IAIhB,UAAU,MAAM;AACd,aAAO,SAAS;AAAA;AAAA,IAGlB,KAAK,CAAC,aAAa;AACjB,iBAAY,aAAY,KAAK,MAAM,KAAK;AACxC,YAAM,MAAM,KAAK,IAAI;AACrB,YAAM,MAAM,KAAK,IAAI;AACrB,YAAM,OAAO;AACb,YAAM,OAAO;AACb,YAAM,OAAO;AACb,aAAO,YAAY;AAAA,QACjB,OAAO,MAAO,KAAI,QAAQ,MAAO,CAAC;AAAA,QAAO,OAAO,MAAO,CAAC,OAAQ,MAAO,CAAC;AAAA,QAAO,OAAO,MAAO,CAAC,OAAQ,MAAO,KAAI;AAAA,QAAO;AAAA,QAAG;AAAA,QAC3H,OAAO,MAAO,CAAC,OAAQ,MAAO;AAAA,QAAQ,OAAO,MAAO,KAAI,QAAQ,MAAO;AAAA,QAAQ,OAAO,MAAO,CAAC,OAAQ,MAAO;AAAA,QAAS;AAAA,QAAG;AAAA,QACzH,OAAO,MAAO,CAAC,OAAQ,MAAO,CAAE,KAAI;AAAA,QAAQ,OAAO,MAAO,CAAC,OAAQ,MAAO;AAAA,QAAO,OAAO,MAAO,KAAI,QAAQ,MAAO;AAAA,QAAO;AAAA,QAAG;AAAA,QAC5H;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA,QAAG;AAAA;AAAA;AAAA,IAIhB,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;AAAA;AAAA,IAIhB,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;AAAA;AAAA,IAIhB,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;AAAA;AAAA,IAIhB,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;AAAA;AAAA,IAIhB,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;AAAA;AAAA,IAIhB,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;AAAA;AAAA,IAIhB,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;AAAA;AAAA,IAIhB,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;AAAA;AAAA,IAIhB,aAAa,CAAC,WAAW;AACvB,YAAM,IAAI,IAAI,aAAa;AAC3B,YAAM,aAAa,IAAI,SAAS;AAChC,YAAM,aAAa,IAAI,SAAS;AAChC,YAAM,UAAU,cAAsB;AACtC,SAAG,WAAW,QAAQ,QAAQ,MAAM;AACpC,SAAG,UAAU,QAAQ,QAAQ,OAAO,YAAY;AAChD;AAAA;AAAA,IAGF,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;AAAA;AAAA,IAIV,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;AAAA;AAAA,IAIX,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;AAAA;AAAA,IAIV,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;AAAA;AAAA,IAIf,QAAQ,CAAC,UAAS;AAChB,YAAM,IAAI,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;AAAA;AAAA,IAIlB,MAAM,CAAC,UAAS;AACd,YAAM,YAAa,QAAO,IAAK,SAAS;AACxC,YAAM,YAAa,QAAO,IAAK,SAAS;AACxC,YAAM,UAAU,cAAsB;AAEtC,SAAG,UAAU,QAAQ,QAAQ,OAAO,GAAG;AACvC,YAAK,KAAK;AAEV,SAAG,UAAU,QAAQ,QAAQ,OAAO,WAAW;AAC/C;AAAA;AAAA,IAGF,UAAU,CAAC,UAAS;AAClB,YAAM,YAAa,QAAQ,SAAS;AACpC,YAAM,YAAa,QAAQ,SAAS;AACpC,YAAM,UAAU,cAAsB;AACtC,SAAG,UAAU,QAAQ,QAAQ,SAAS,WAAW;AACjD;AAAA;AAAA;AAKJ,OAAK,MAAM,SAAU,MAAM;AAEzB,UAAM,OAAO,MAAM,UAAU,MAAM,KAAK,WAAW;AACnD,UAAM,OAAO,OAAO;AACpB,gBAAY,KAAK,EAAE,MAAM;AAAA;AAI3B,OAAK,QAAQ,WAAY;AACvB,kBAAc;AAAA;AAIhB,OAAK,MAAM,WAAY;AACrB,WAAO;AAAA;AAIT,OAAK,QAAQ,SAAU,SAAO;AAC5B,WAAO,QAAM,OAAO,QAAM;AAC1B,gBAAY;AACZ,QAAI,CAAC;AAAe,sBAAgB,GAAG;AACvC,OAAG,YAAY,GAAG,YAAY;AAC9B,OAAG,cAAc,GAAG,YAAY,GAAG,gBAAgB,GAAG;AACtD,OAAG,cAAc,GAAG,YAAY,GAAG,gBAAgB,GAAG;AACtD,OAAG,cAAc,GAAG,YAAY,GAAG,oBAAoB,GAAG;AAC1D,OAAG,cAAc,GAAG,YAAY,GAAG,oBAAoB,GAAG;AAC1D,OAAG,WAAW,GAAG,YAAY,GAAG,GAAG,MAAM,GAAG,MAAM,GAAG,eAAe;AACpE,aAAS,IAAI,GAAG,IAAI,YAAY,QAAQ,KAAK;AAC3C,oBAAe,MAAM,YAAY,SAAS;AAC1C,YAAM,IAAI,YAAY;AAEtB,QAAE,KAAK,MAAM,MAAM,EAAE,QAAQ;AAAA;AAE/B,WAAO;AAAA;AAIT,OAAK,OAAO,SAAU,SAAO;AAC3B,SAAK,IAAI,cAAc;AACvB,WAAO,KAAK,MAAM;AAAA;AAAA;;;ACjZtB,qCAA4C,YAAqC;AAE/E,QAAM,WAAU,WAAW,MAAM,WAAW,IAAI,AAAG,yBAAQ,cAAc;AACzE,QAAM,WAAW,AAAG,uBAAM,UAAS,GAAG;AACtC,QAAM,OAAgB,CAAC,AAAG,qBAAI,SAAS,KAAK,AAAG,qBAAI,SAAS,KAAK,AAAG,qBAAI,SAAS;AACjF,QAAM,OAAgB,CAAC,AAAG,qBAAI,SAAS,KAAK,AAAG,qBAAI,SAAS,KAAK,AAAG,qBAAI,SAAS;AACjF,QAAM,SAAS,MAAM,QAAQ,IAAI,KAAI,IAAI,CAAC,YAAY,QAAQ;AAC9D,QAAM,WAAW,OAAO,KAAK,IAAI,OAAO,GAAG,IAAI,OAAO,GAAG,IAAI,OAAO,GAAG;AACvE,QAAM,OAAM,CAAC,AAAG,qBAAI,SAAS,IAAI,KAAI,KAAK,AAAG,qBAAI,SAAS,IAAI,KAAI,KAAK,AAAG,qBAAI,SAAS,IAAI,KAAI;AAC/F,QAAM,QAAQ,CAAC,AAAG,qBAAI,KAAI,IAAI,KAAI,KAAK,AAAG,qBAAI,KAAI,IAAI,KAAI,KAAK,AAAG,qBAAI,KAAI,IAAI,KAAI;AAClF,QAAM,OAAO,CAAC,AAAG,qBAAI,UAAU,MAAM,KAAK,AAAG,qBAAI,UAAU,MAAM,KAAK,AAAG,qBAAI,UAAU,MAAM;AAC7F,QAAM,MAAM,CAAC,AAAG,qBAAI,KAAI,IAAI,KAAK,KAAK,AAAG,qBAAI,KAAI,IAAI,KAAK,KAAK,AAAG,qBAAI,KAAI,IAAI,KAAK;AACnF,QAAM,OAAM,AAAG,uBAAM,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,KAAK;AAC/C,QAAM,WAAU,AAAG,yBAAQ,MAAK,CAAC,GAAG,SAAQ,MAAM,IAAI,SAAQ,MAAM,IAAI;AACxE,EAAG,yBAAQ,CAAC,GAAG,UAAU,GAAG,MAAK,GAAG,MAAK,GAAG,MAAK,GAAG,OAAO,GAAG,MAAM,GAAG,KAAK,MAAK;AACjF,SAAO;AAAA;;;ACXT,IAAM,UAAU;AAEhB,IAAI,WAA6B;AACjC,IAAI,YAA8B;AAClC,IAAI,YAA8B;AAElC,IAAI;AAEJ,IAAM,OAAoG;AAAA,EACxG,UAAU;AAAA,EACV,WAAW;AAAA,EACX,WAAW;AAAA,EACX,aAAa;AAAA;AAGR,gBAAgB,OAAO,QAAmB;AAC/C,MAAI;AACJ,MAAI,IAAI,SAAS;AACf,QAAI,IAAI,QAAQ;AACd,UAAI,IAAI,gBAAgB,OAAO;AAAA,WAC1B;AACL,UAAI,OAAO,aAAa;AAAa,cAAM,IAAI,MAAM;AACrD,UAAI,SAAS,cAAc;AAC3B,QAAE,QAAQ;AACV,QAAE,SAAS;AAAA;AAAA,SAER;AAEL,QAAI,OAAO,IAAI,WAAW;AAAa,UAAI,IAAI,IAAI,OAAO,OAAO;AAAA,aACxD,OAAO,WAAW,WAAW;AAAa,UAAI,IAAI,WAAW,OAAO,OAAO;AAAA;AAGtF,SAAO;AAAA;AAIF,cAAc,OAAkB,QAAoB;AACzD,QAAM,eAAe,UAAU,OAAO,MAAM,OAAO,MAAM;AACzD,QAAM,MAAM,aAAa,WAAW;AACpC,MAAI,UAAU,OAAO,GAAG;AACxB,SAAO;AAAA;AAMT,wBAA8B,OAAc,SAAgB,YAAqB,MAAoE;AACnJ,MAAI,CAAC,OAAO;AAEV,QAAI,QAAO;AAAO,UAAI;AACtB,WAAO,EAAE,QAAQ,MAAM,QAAQ;AAAA;AAGjC,MACE,CAAE,kBAAoB,WACnB,CAAE,QAAO,UAAU,eAAe,iBAAiB,UACnD,CAAE,QAAO,IAAI,WAAW,eAAe,iBAAiB,IAAI,WAC5D,CAAE,QAAO,WAAW,WAAW,eAAe,iBAAiB,WAAW,WAC1E,CAAE,QAAO,cAAc,eAAe,iBAAiB,cACvD,CAAE,QAAO,gBAAgB,eAAe,iBAAiB,gBACzD,CAAE,QAAO,qBAAqB,eAAe,iBAAiB,qBAC9D,CAAE,QAAO,qBAAqB,eAAe,iBAAiB,qBAC9D,CAAE,QAAO,qBAAqB,eAAe,iBAAiB,qBAC9D,CAAE,QAAO,sBAAsB,eAAe,iBAAiB,sBAC/D,CAAE,QAAO,oBAAoB,eAAe,iBAAiB,kBAChE;AACA,UAAM,IAAI,MAAM;AAAA;AAElB,MAAI,iBAAoB,QAAQ;AAC9B,QAAI,UAAwB;AAC5B,QAAK,MAAiB;AAAuB,YAAM,IAAI,MAAM;AAC7D,QAAI,CAAE,MAAiB;AAAU,YAAM,IAAI,MAAM;AACjD,QAAK,MAAiB,MAAM,WAAW,GAAG;AACxC,UAAK,MAAiB,MAAM,OAAO,GAAG;AACpC,kBAAS,AAAG,4BAAW,OAAO;AAAA,iBACpB,MAAiB,MAAM,OAAO,GAAG;AAC3C,cAAM,OAAM,AAAG,yBAAQ,OAAO,CAAC,GAAG,GAAG,IAAI,CAAC,IAAI,IAAI;AAClD,kBAAS,AAAG,4BAAW,MAAK;AAC5B,QAAG,yBAAQ;AAAA;AAAA,eAEH,MAAiB,MAAM,WAAW,GAAG;AAC/C,UAAK,MAAiB,MAAM,OAAO,GAAG;AACpC,kBAAS,AAAG,uBAAM;AAAA,iBACR,MAAiB,MAAM,OAAO,GAAG;AAC3C,kBAAS,AAAG,yBAAQ,OAAO,CAAC,GAAG,GAAG,GAAG,IAAI,CAAC,IAAI,IAAI,IAAI;AAAA;AAAA;AAI1D,QAAI,WAAU,QAAQ,QAAO,MAAM,WAAW,KAAK,QAAO,MAAM,OAAO,KAAK,QAAO,MAAM,OAAO;AAAG,YAAM,IAAI,MAAM,8CAA8C,MAAM;AACvK,QAAK,QAAkB,UAAU,SAAS;AACxC,YAAM,QAAO,AAAG,sBAAK,SAAQ;AAC7B,MAAG,yBAAQ;AACX,gBAAS;AAAA;AAEX,WAAO,EAAE,iBAAQ,QAAS,QAAO,OAAO,SAAS,YAAY;AAAA,SACxD;AAEL,QAAI,OAAO,MAAM,kBAAkB,eAAe,MAAM,iBAAiB,GAAG;AAC1E,UAAI,QAAO;AAAO,YAAI;AACtB,aAAO,EAAE,QAAQ,MAAM,QAAQ;AAAA;AAEjC,UAAM,gBAAgB,MAAM,mBAAmB,MAAM,iBAAiB,MAAM,YAAa,MAAM,YAAa,MAAM,SAAS,KAAK;AAChI,UAAM,iBAAiB,MAAM,oBAAoB,MAAM,kBAAkB,MAAM,aAAc,MAAM,YAAa,MAAM,SAAS,KAAK;AACpI,QAAI,CAAC,iBAAiB,CAAC,gBAAgB;AACrC,UAAI,QAAO;AAAO,YAAI;AACtB,aAAO,EAAE,QAAQ,MAAM,QAAQ;AAAA;AAEjC,QAAI,cAAc;AAClB,QAAI,eAAe;AACnB,QAAI,cAAc,SAAS;AACzB,oBAAc;AACd,qBAAe,KAAK,MAAM,cAAc,iBAAiB;AAAA;AAE3D,QAAI,eAAe,SAAS;AAC1B,qBAAe;AACf,oBAAc,KAAK,MAAM,eAAe,gBAAgB;AAAA;AAI1D,QAAK,SAAO,OAAO,SAAS,KAAK;AAAG,oBAAc,QAAO,OAAO;AAAA,aACtD,SAAO,OAAO,UAAU,KAAK;AAAG,oBAAc,gBAAkB,UAAO,OAAO,UAAU,KAAK;AACvG,QAAK,SAAO,OAAO,UAAU,KAAK;AAAG,qBAAe,QAAO,OAAO;AAAA,aACxD,SAAO,OAAO,SAAS,KAAK;AAAG,qBAAe,iBAAmB,UAAO,OAAO,SAAS,KAAK;AACvG,QAAI,CAAC,eAAe,CAAC;AAAc,YAAM,IAAI,MAAM;AACnD,QAAI,CAAC,YAAa,sCAAU,WAAU,eAAiB,sCAAU,YAAW;AAAe,iBAAW,OAAO,aAAa;AAG1H,UAAM,QAAQ,SAAS,WAAW;AAClC,QAAK,OAAO,cAAc,eAAiB,iBAAiB,WAAY;AACtE,YAAM,aAAa,OAAO,GAAG;AAAA,WACxB;AACL,UAAI,QAAO,OAAO,QAAQ,OAAO,MAAM,cAAc,aAAa;AAChE,cAAM,UAAU,eAAe;AAC/B,cAAM,MAAM,IAAI;AAChB,cAAM,UAAU,OAAoB,GAAG,GAAG,eAAe,gBAAgB,GAAG,GAAG,qCAAU,OAAO,qCAAU;AAC1G,cAAM,aAAa,GAAG,GAAG,GAAG,GAAG,GAAG;AAAA,aAC7B;AACL,cAAM,UAAU,OAAoB,GAAG,GAAG,eAAe,gBAAgB,GAAG,GAAG,qCAAU,OAAO,qCAAU;AAAA;AAAA;AAI9G,QAAI,CAAC,aAAc,SAAS,UAAU,UAAU,SAAW,sCAAU,YAAW,wCAAW;AAAS,kBAAY,OAAO,SAAS,OAAO,SAAS;AAGhJ,QAAI,QAAO,OAAO,WAAW,IAAI,MAAM,WAAW;AAChD,UAAI,CAAC;AAAI,aAAK,IAAI,UAAU,IAAY,kBAAkB;AAC1D,UAAI,SAAS,CAAC,CAAC;AACf,UAAI,CAAC;AAAI,eAAO,EAAE,QAAQ,MAAM,QAAQ;AACxC,SAAG;AACH,UAAI,QAAO,OAAO,eAAe;AAAG,WAAG,IAAI,cAAc,QAAO,OAAO;AACvE,UAAI,QAAO,OAAO,aAAa;AAAG,WAAG,IAAI,YAAY,QAAO,OAAO;AACnE,UAAI,QAAO,OAAO,cAAc;AAAG,WAAG,IAAI,WAAW,QAAO,OAAO;AACnE,UAAI,QAAO,OAAO,SAAS;AAAG,WAAG,IAAI,QAAQ,QAAO,OAAO;AAC3D,UAAI,QAAO,OAAO,eAAe;AAAG,WAAG,IAAI,cAAc,QAAO,OAAO;AACvE,UAAI,QAAO,OAAO,QAAQ;AAAG,WAAG,IAAI,OAAO,QAAO,OAAO;AACzD,UAAI,QAAO,OAAO;AAAU,WAAG,IAAI;AACnC,UAAI,QAAO,OAAO;AAAO,WAAG,IAAI;AAChC,UAAI,QAAO,OAAO;AAAS,WAAG,IAAI;AAClC,UAAI,QAAO,OAAO;AAAO,WAAG,IAAI;AAChC,UAAI,QAAO,OAAO;AAAY,WAAG,IAAI;AACrC,UAAI,QAAO,OAAO;AAAa,WAAG,IAAI;AACtC,UAAI,QAAO,OAAO;AAAU,WAAG,IAAI;AACnC,UAAI,QAAO,OAAO,aAAa;AAAG,WAAG,IAAI,YAAY,QAAO,OAAO;AACnE,UAAI,GAAG,QAAQ;AAAG,oBAAY,GAAG,MAAM;AAAA;AAClC,oBAAY,GAAG,KAAK;AAAA,WACpB;AACL,WAAK,UAAU;AACf,UAAI;AAAI,aAAK;AACb,UAAI,SAAS,CAAC,CAAC;AAAA;AAGjB,QAAI,CAAC;AAAW,aAAO,EAAE,QAAQ,MAAM,QAAQ;AAC/C,QAAI,CAAC;AAAW,YAAM,IAAI,MAAM;AAGhC,QAAI;AACJ,QAAI,QAAQ;AACZ,QAAK,OAAO,cAAc,eAAe,iBAAiB,aAAe,MAAM,WAAW,MAAM,YAAY,MAAM,WAAY;AAC5H,UAAI,IAAI,WAAc,0BAAS;AAC7B,iBAAS,AAAG,2BAAU,AAAG,yBAAQ,WAAW,SAAS;AAAA,aAChD;AACL,gBAAQ,MAAM,QAAQ,SAAS,MAAM,YAAY,MAAM;AAEvD,cAAM,MAAM,IAAI,WAAW,MAAM,QAAQ;AACzC,iBAAS,AAAG,wBAAO,KAAK,CAAC,MAAM,WAAW,MAAM,UAAU,QAAQ;AAAA;AAAA,WAE/D;AACL,UAAI,CAAC,aAAc,UAAU,UAAU,UAAU,SAAW,UAAU,WAAW,UAAU;AAAS,oBAAY,OAAO,UAAU,OAAO,UAAU;AAClJ,UAAI,AAAG,4BAAW,IAAI,SAAS;AAC7B,YAAI,QAAO,YAAY,WAAW,QAAO,YAAY,aAAa,QAAO,YAAY,UAAU;AAC7F,mBAAS,AAAG,yBAAQ,WAAW;AAAA,eAC1B;AACL,sBAAY,KAAK;AACjB,mBAAS,AAAG,yBAAQ,WAAW;AAAA;AAAA,aAE5B;AACL,cAAM,aAAa,KAAK;AACxB,cAAM,UAAU,WAAW,WAAW;AACtC,cAAM,WAAW,QAAQ,aAAa,GAAG,GAAG,aAAa;AACzD,gBAAQ,SAAS,KAAK,SAAS,cAAc;AAC7C,cAAM,MAAM,IAAI,WAAW,SAAS,KAAK;AACzC,iBAAS,AAAG,wBAAO,KAAK,CAAC,aAAa,cAAc;AAAA;AAAA;AAGxD,QAAI,UAAU,GAAG;AACf,YAAM,OAAM,AAAG,yBAAQ,QAAQ,CAAC,GAAG,GAAG,IAAI,CAAC,IAAI,IAAI;AACnD,MAAG,yBAAQ;AACX,eAAS;AAAA;AAEX,QAAI,CAAC;AAAQ,YAAM,IAAI,MAAM;AAC7B,UAAM,SAAS,AAAG,sBAAK,QAAQ;AAC/B,UAAM,UAAS,QAAO,OAAO,eAAe,MAAM,AAAQ,sBAAsB,UAAU,AAAG,4BAAW,QAAQ;AAChH,IAAG,yBAAQ,CAAC,QAAQ;AACpB,WAAO,EAAE,iBAAQ,QAAS,QAAO,OAAO,SAAS,YAAY;AAAA;AAAA;AAkCjE,oBAA2B,SAAQ,OAAe;AAChD,MAAI,YAAY;AAChB,MAAI,QAAO,qBAAqB;AAAG,WAAO;AAc1C,MAAI,CAAC,KAAK,aAAa;AACrB,SAAK,cAAc,AAAG,uBAAM;AAAA,aACnB,KAAK,YAAY,MAAM,OAAO,MAAM,MAAM,MAAM,KAAK,YAAY,MAAM,OAAO,MAAM,MAAM,IAAI;AACvG,IAAG,yBAAQ,KAAK;AAChB,SAAK,cAAc,AAAG,uBAAM;AAAA,SACvB;AACL,UAAM,IAA4B;AAClC,MAAE,OAAO,AAAG,qBAAI,OAAO,KAAK;AAC5B,MAAE,UAAU,AAAG,qBAAI,EAAE,MAAM,EAAE;AAC7B,MAAE,MAAM,AAAG,qBAAI,EAAE;AACjB,UAAM,UAAU,MAAM,EAAE,IAAI;AAC5B,UAAM,eAAe,QAAQ,KAAM,OAAM,MAAM,MAAM,KAAM,OAAM,MAAM,MAAM,KAAK,MAAM;AACxF,IAAG,yBAAQ,CAAC,KAAK,aAAa,EAAE,MAAM,EAAE,SAAS,EAAE;AACnD,SAAK,cAAc,AAAG,uBAAM;AAC5B,gBAAY,gBAAgB,QAAO;AAAA;AAErC,SAAO;AAAA;AAGT,uBAA8B,SAAQ,QAAgB,QAAiC;AACrF,QAAM,IAA4B;AAClC,MAAI,CAAC,UAAU,CAAC,UAAU,OAAO,MAAM,WAAW,KAAK,OAAO,MAAM,WAAW,OAAO,MAAM,QAAQ;AAClG,QAAI,CAAC,QAAO;AAAO,UAAI,uDAAuD,OAAO,OAAO,OAAO;AACnG,WAAO;AAAA;AAET,MAAI,OAAO,MAAM,OAAO,KAAK,OAAO,MAAM,OAAO,KAAK,OAAO,MAAM,OAAO,KAAK,OAAO,MAAM,OAAO,GAAG;AACpG,QAAI,CAAC,QAAO;AAAO,UAAI,yDAAyD,OAAO,OAAO,OAAO;AACrG,WAAO;AAAA;AAET,IAAE,SAAS,AAAG,uBAAM;AACpB,IAAE,SAAU,OAAO,MAAM,OAAO,OAAO,MAAM,MAAM,OAAO,MAAM,OAAO,OAAO,MAAM,KAAM,AAAG,uBAAM,eAAe,QAAQ,CAAC,OAAO,MAAM,IAAI,OAAO,MAAM,OAAO,AAAG,uBAAM;AACzK,IAAE,OAAO,AAAG,qBAAI,EAAE,QAAQ,EAAE;AAC5B,IAAE,UAAU,AAAG,qBAAI,EAAE,MAAM,EAAE;AAC7B,IAAE,MAAM,AAAG,qBAAI,EAAE;AACjB,QAAM,UAAU,MAAM,EAAE,IAAI;AAC5B,QAAM,eAAe,QAAQ,KAAM,QAAO,MAAM,MAAM,KAAM,QAAO,MAAM,MAAM,KAAK,MAAM;AAC1F,EAAG,yBAAQ,CAAC,EAAE,QAAQ,EAAE,QAAQ,EAAE,MAAM,EAAE,SAAS,EAAE;AACrD,SAAO;AAAA;;;ACnTF,gBAAU;AAAA,EA4Ef,cAAc;AA1Ed;AAEA;AAEA;AAEA,oCAAmB;AAEnB,iCAAgB;AAEhB,oCAAqB;AAErB;AAEA;AAEA;AAIA;AAEA,mCAAmB;AAEnB,gCAKI;AAAA,MACA,WAAW;AAAA,MACX,SAAS;AAAA,MACT,MAAM;AAAA,MACN,aAAa;AAAA;AAGjB,iCAKI;AAAA,MACA,WAAW;AAAA,MACX,SAAS;AAAA,MACT,SAAS;AAAA,MACT,UAAU;AAAA;AAGd,kCAII;AAAA,MACA,WAAW;AAAA,MACX,SAAS;AAAA,MACT,SAAS;AAAA;AAGb,+BAGI;AAAA,MACA,OAAO;AAAA,MACP,OAAO;AAAA;AAGX,mCAAoB;AAEpB;AAEA;AAEA;AAGE,SAAK,UAAU,OAAO,cAAc;AACpC,SAAK,OAAO,OAAO,YAAY;AAC/B,SAAK,OAAO,EAAE,SAAY;AAC1B,SAAK,YAAY,OAAO,oBAAoB;AAC5C,SAAK,UAAU;AAEf,SAAK,SAAS,KAAK,WAAW,KAAK,YAAa,OAAO,sBAAsB,cAAe;AAC5F,QAAI,OAAO,cAAc,aAAa;AACpC,YAAM,MAAM,UAAU,UAAU,MAAM;AACtC,UAAI,OAAO,IAAI,IAAI;AACjB,cAAM,gBAAgB,IAAI,GAAG,MAAM;AACnC,aAAK,WAAY,iBAAiB,cAAc,KAAM,cAAc,GAAG,QAAQ,UAAU,MAAM;AAC/F,aAAK,QAAQ,UAAU,UAAU,QAAQ,IAAI,IAAI;AACjD,YAAI,KAAK,SAAS;AAAI,eAAK,QAAQ,KAAK,MAAM,QAAQ,IAAI,IAAI;AAC9D,aAAK,QAAQ,KAAK,MAAM,QAAQ,OAAO;AAAA;AAAA,eAWhC,OAAO,YAAY,aAAa;AACzC,WAAK,WAAW,GAAG,QAAQ,YAAY,QAAQ;AAC/C,WAAK,QAAQ,UAAU,QAAQ;AAAA;AAAA;AAAA,QAI7B,gBAAgB;AAEpB,SAAK,WAAW,OAAO,KAAK,AAAG,0BAAS;AACxC,SAAK,KAAK,YAAY,OAAO,gBAAgB;AAC7C,SAAK,KAAK,UAAU,KAAK,SAAS,SAAS;AAC3C,QAAI,KAAK,KAAK,aAAa,KAAK,KAAK,WAAW,AAAG,kCAAiB,QAAQ;AAC1E,WAAK,KAAK,OAAO,MAAM,AAAG,uBAAM,SAAS;AACzC,WAAK,KAAK,cAAc,MAAM,AAAG,uBAAM,SAAS;AAAA;AAElD,UAAM,IAAI,AAAM,OAAO,KAAK;AAC5B,UAAM,MAAM,IAAI,EAAE,WAAW,YAAY;AAEzC,SAAK,MAAM,YAAY,OAAO,QAAQ;AACtC,SAAK,MAAM,UAAU,KAAK,SAAS,SAAS;AAC5C,QAAI,KAAK,MAAM,aAAa,KAAK,MAAM,WAAY,CAAG,kCAAiB,WAAW,AAAG,kCAAiB,YAAY;AAEhH,YAAM,KAAK,AAAG,2BAAU,UAAU,cAAc,MAAM,AAAG,2BAAU,kBAAkB,KAAK;AAC1F,UAAI,IAAI;AACN,aAAK,MAAM,UAAU,GAAG,aAAa,GAAG;AACxC,aAAK,MAAM,WAAW,GAAG,aAAa,GAAG;AAAA;AAAA;AAG7C,SAAK,OAAO,YAAY,KAAK,WAAW,OAAO,UAAU,WAAW;AACpE,SAAK,OAAO,UAAU,KAAK,SAAS,SAAS;AAC7C,QAAI,KAAK,OAAO;AAAW,WAAK,OAAO,UAAW,OAAM,UAAU,OAAO,kBAAkB;AAE3F,SAAK,UAAU,AAAG,sCAAqB,AAAG,+BAAc,IAAI,CAAC,WAAW,OAAO,WAAW;AAAA;AAAA,QAGtF,YAAY;AAChB,UAAM,MAAM,EAAE,OAAO,IAAI,OAAO;AAChC,QAAI,KAAK,QAAQ,KAAK,SAAS,WAAW,UAAU;AAElD,YAAM,KAAK,UAAQ;AACnB,UAAI;AACF,cAAM,OAAO,GAAG,aAAa,iBAAiB;AAC9C,mBAAW,QAAQ,KAAK,MAAM,OAAO;AACnC,cAAI,KAAK,WAAW,eAAe;AACjC,gBAAI,QAAQ,KAAK,MAAM,UAAU,GAAG,QAAQ,KAAK,IAAI;AAAA;AAEvD,cAAI,KAAK,WAAW,UAAU;AAC5B,gBAAI,QAAQ,KAAK,MAAM,UAAU,GAAG,QAAQ,KAAK,IAAI,OAAO,MAAM,KAAK;AAAA;AAAA;AAAA,eAGrE,GAAN;AAAA;AAAA;AAEJ,QAAI,CAAC,KAAK;AAAQ,aAAO,eAAe,MAAM,OAAO,EAAE,OAAO;AAAA;AACzD,WAAK,SAAS;AAAA;AAAA;AAIhB,IAAM,MAAM,IAAI;;;;;;ACpJvB,IAAI;AAIJ,IAAI,UAAU,OAAO;AAGrB,oBAA2B,SAAsB;AAC/C,MAAI,IAAI;AAAS,YAAQ;AACzB,MAAI,CAAC,OAAO;AACV,YAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,QAAO,KAAK,cAAc;AACrF,QAAI,CAAC,SAAS,CAAC,MAAM;AAAa,UAAI,sBAAsB,QAAO,KAAK,cAAc;AAAA,aAC7E,QAAO;AAAO,UAAI,eAAe,MAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,MAAM;AACpD,SAAO;AAAA;;;ACnBT,IAAI;AACJ,IAAM,SAAwB;AAC9B,IAAI,WAAU,OAAO;AACrB,IAAI,YAAY;AAChB,IAAI,WAAW;AAEf,qBAA2B,SAAqC;AAhBhE;AAiBE,MAAI,IAAI;AAAS,aAAQ;AACzB,MAAI,CAAC,QAAO;AACV,aAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,eAAO,KAAK,cAAZ,mBAAuB,cAAa;AAC/F,QAAI,CAAC,UAAS,CAAC,OAAM;AAAa,UAAI,sBAAsB,cAAO,KAAK,cAAZ,mBAAuB;AAAA,aAC1E,QAAO;AAAO,UAAI,eAAe,OAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,OAAM;AACpD,SAAO;AAAA;AAGT,uBAA8B,SAAe,SAAgB,KAAK,QAAO;AA1BzE;AA2BE,MAAI,CAAC;AAAO,WAAO;AACnB,QAAM,WAAY,gBAAO,KAAK,cAAZ,mBAAuB,aAAY,KAAM,QAAQ;AACnE,QAAM,YAAY,WAAW,gBAAO,KAAK,cAAZ,mBAAuB,eAAc;AAClE,MAAI,QAAO,eAAe,YAAY,aAAc,cAAc,UAAU,OAAO,MAAM;AACvF;AACA,WAAO,OAAO;AAAA;AAEhB,aAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAM,SAAS,AAAG,uBAAM,eAAe,SAAO,CAAC,kCAAO,OAAO,GAAG,SAAQ,OAAM,OAAO,GAAG,MAAM,KAAK,GAAG,kCAAO,OAAO,GAAG,SAAQ,OAAM,OAAO,GAAG,MAAM,KAAK,IAAI;AAC9J,UAAM,MAAM,iCAAO,QAAQ;AAC3B,UAAM,MAAO,OAAM,IAAI,QAAQ;AAC/B,WAAO,OAAO,KAAK,MAAM,MAAM,OAAO;AACtC,gBAAY;AACZ,eAAW;AACX,IAAG,yBAAQ,CAAC,QAAQ;AACpB,YAAQ,OAAO;AAAA;AAAA;;;ACtCZ,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;AAAA,EAEpD,gBAAgB,CAAC,IAAI,KAAK,IAAI,IAAI,IAAI,GAAG,KAAK,KAAK,KAAK,KAAK;AAAA,EAC7D,gBAAgB,CAAC,KAAK,IAAI,KAAK,IAAI,IAAI,KAAK,KAAK,KAAK,KAAK;AAAA,EAC3D,gBAAgB,CAAC,IAAI,KAAK,IAAI,IAAI,IAAI,IAAI,KAAK,KAAK,KAAK,KAAK;AAAA,EAC9D,gBAAgB,CAAC,IAAI,IAAI,IAAI,KAAK,IAAI,IAAI,KAAK,KAAK,KAAK,KAAK;AAAA,EAC9D,gBAAgB,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EAC/C,gBAAgB,CAAC,IAAI,GAAG,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EACtD,gBAAgB,CAAC,KAAK,IAAI,IAAI,IAAI,IAAI,IAAI;AAAA,EAC1C,gBAAgB,CAAC,KAAK,IAAI,KAAK,IAAI,IAAI,IAAI,IAAI,KAAK;AAAA,EACpD,gBAAgB,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EAC/C,gBAAgB,CAAC,KAAK,IAAI,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EACxD,gBAAgB,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EACzD,mBAAmB,CAAC,KAAK,IAAI,IAAI,KAAK,IAAI,KAAK,IAAI;AAAA,EACnD,mBAAmB,CAAC,IAAI,KAAK,IAAI,IAAI,IAAI;AAAA,EACzC,cAAc,CAAC,KAAK,KAAK,KAAK,KAAK;AAAA,EACnC,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EAC9C,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EACxD,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EAC9C,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EACxD,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EAC9C,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EACxD,eAAe,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EACxD,kBAAkB,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EACtD,kBAAkB,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK;AAAA,EAC5C,aAAa,CAAC,KAAK,KAAK,KAAK,KAAK;AAAA,EAClC,mBAAmB,CAAC;AAAA,EACpB,SAAS,CAAC;AAAA,EACV,YAAY,CAAC;AAAA,EACb,iBAAiB,CAAC;AAAA,EAClB,gBAAgB,CAAC;AAAA,EACjB,YAAY,CAAC;AAAA,EACb,WAAW,CAAC;AAAA;AAGP,IAAM,gBAAmD;AAAA,EAC9D,OAAO;AAAA,EACP,OAAO;AAAA,EACP,cAAc,CAAC,IAAI,gBAAgB,qBAAqB;AAAA;AAGnD,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;AAAA;AAGb,IAAM,2BAAsE;AAAA,EACjF,EAAE,KAAK,aAAa,SAAS,CAAC,GAAG,IAAI,IAAI,IAAI,IAAI,IAAI;AAAA,EACrD,EAAE,KAAK,aAAa,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI;AAAA,EACtD,EAAE,KAAK,aAAa,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI;AAAA,EACtD,EAAE,KAAK,aAAa,SAAS,CAAC,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG;AAAA,EACtD,EAAE,KAAK,aAAa,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI;AAAA,EAC9D,EAAE,KAAK,aAAa,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI;AAAA,EAC9D,EAAE,KAAK,aAAa,SAAS,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI;AAAA;AAKzD,IAAM,QAA4B;AAAA,EACvC,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,iBAAiB;AAAA,EAClB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,iBAAiB;AAAA,EAClB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,iBAAiB;AAAA,EAClB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,iBAAiB;AAAA,EAClB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,iBAAiB;AAAA,EAClB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,iBAAiB;AAAA,EAClB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,iBAAiB;AAAA,EAClB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,iBAAiB;AAAA,EAClB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,kBAAkB;AAAA,EACnB,CAAC,gBAAgB;AAAA,EACjB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,kBAAkB;AAAA,EACnB,CAAC,iBAAiB;AAAA,EAClB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA,EACpB,CAAC,mBAAmB;AAAA;AAGf,IAAM,SAAwB;AAAA,EACnC;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;AAAA;AAwBvI,IAAM,QAAuB;AAAA,EACtB;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,EAC/E;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAC1C;AAAA,EAAK;AAAA,EAAG;AAAA,EAAK;AAAA,EAAG;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;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,EACtD;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAG;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA,EAAI;AAAA,EAChD;AAAA,EAAI;AAAA,EAAI;AAAA,EAAI;AAAA,EAAK;AAAA,EAAK;AAAA,EAAK;AAAA,EAAI;AAAA;AAGtC,IAAM,QAAuB,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;AAE/K,IAAM,OAAsB,CAAC,IAAI,KAAK,KAAK,KAAK,GAAG,IAAI;AAEvD,IAAM,OAAO,MAAM,IAAI,CAAC,MAAM,MAAM;AAEpC,IAAM,OAAO,MAAM,IAAI,CAAC,MAAM,MAAM;AAEpC,IAAM,MAAM,KAAK,IAAI,CAAC,MAAM,MAAM;;;AC9oBlC,IAAM,aAAa,CAAC,SAA0B,CAAC,KAAK,IAAI,KAAI,SAAS,KAAK,KAAI,WAAW,KAAK,KAAK,IAAI,KAAI,SAAS,KAAK,KAAI,WAAW;AAExI,IAAM,eAAe,CAAC,SAA0B,CAAC,KAAI,WAAW,KAAM,MAAI,SAAS,KAAK,KAAI,WAAW,MAAM,GAAG,KAAI,WAAW,KAAM,MAAI,SAAS,KAAK,KAAI,WAAW,MAAM;AAE5K,IAAM,gBAAgB,CAAC,MAAK,UAAgB,OAAM;AAAA,EACvD,KAAK,MAAM,KAAK,IAAI,GAAG,KAAI,WAAW;AAAA,EACtC,KAAK,MAAM,KAAK,IAAI,GAAG,KAAI,WAAW;AAAA,EACtC,KAAK,MAAM,KAAK,IAAK,MAAM,MAAM,MAAM,GAAI,KAAI,SAAS,MAAM,KAAK,IAAI,GAAG,KAAI,WAAW;AAAA,EACzF,KAAK,MAAM,KAAK,IAAK,MAAM,MAAM,MAAM,GAAI,KAAI,SAAS,MAAM,KAAK,IAAI,GAAG,KAAI,WAAW;AAAA,IACvF,CAAC,GAAG,GAAG,GAAG;AAEP,IAAM,YAAY,CAAC,MAAK,UAAgB,OAAM;AAAA,EACnD,KAAI,WAAW,KAAM,OAAM,MAAM,MAAM;AAAA,EACvC,KAAI,WAAW,KAAM,OAAM,MAAM,MAAM;AAAA,EACtC,MAAI,SAAS,KAAK,KAAI,WAAW,MAAO,OAAM,MAAM,MAAM;AAAA,EAC1D,MAAI,SAAS,KAAK,KAAI,WAAW,MAAO,OAAM,MAAM,MAAM;AAAA,IACzD,CAAC,GAAG,GAAG,GAAG;AAEP,IAAM,sBAAsB,CAAC,MAAK,WAAW;AAClD,QAAM,aAAa,CAAC,KAAI,WAAW,KAAK,OAAO,IAAI,KAAI,WAAW,KAAK,OAAO;AAC9E,QAAM,WAAW,CAAC,KAAI,SAAS,KAAK,OAAO,IAAI,KAAI,SAAS,KAAK,OAAO;AACxE,SAAO,EAAE,YAAY,UAAU,WAAW,KAAI,WAAW,YAAY,KAAI;AAAA;AAGpE,IAAM,2BAA2B,CAAC,MAAK,SAAO,aAAa;AAChE,QAAM,IAAI,QAAM,MAAM;AACtB,QAAM,IAAI,QAAM,MAAM;AACtB,QAAM,QAAO,AAAG,uBAAM,cAAc,SAAO,CAAC,CAAC,KAAI,WAAW,KAAK,GAAG,KAAI,WAAW,KAAK,GAAG,KAAI,SAAS,KAAK,GAAG,KAAI,SAAS,KAAK,KAAK,CAAC,IAAI;AAC5I,QAAM,OAAO,AAAG,qBAAI,OAAM;AAC1B,EAAG,yBAAQ;AACX,SAAO;AAAA;AAGF,IAAM,aAAa,CAAC,MAAK,WAAW;AACzC,QAAM,SAAS,aAAa;AAC5B,QAAM,QAAO,WAAW;AACxB,QAAM,WAA6B,CAAC,SAAS,MAAK,KAAK,GAAG,SAAS,MAAK,KAAK;AAC7E,SAAO,EAAE,YAAY,CAAC,OAAO,KAAK,SAAS,IAAI,OAAO,KAAK,SAAS,KAAc,UAAU,CAAC,OAAO,KAAK,SAAS,IAAI,OAAO,KAAK,SAAS,KAAc,WAAW,KAAI,WAAW,YAAY,KAAI;AAAA;AAG9L,IAAM,cAAc,CAAC,SAAQ;AAClC,QAAM,UAAU,aAAa;AAC7B,QAAM,QAAO,WAAW;AACxB,QAAM,WAAW,KAAK,IAAI,GAAG,SAAQ;AACrC,SAAO,EAAE,YAAY,CAAC,KAAK,MAAM,QAAQ,KAAK,WAAW,KAAK,MAAM,QAAQ,KAAK,YAAqB,UAAU,CAAC,KAAK,MAAM,QAAQ,KAAK,WAAW,KAAK,MAAM,QAAQ,KAAK,YAAqB,WAAW,KAAI,WAAW,YAAY,KAAI;AAAA;AAGtO,IAAM,gCAAgC,CAAC,cAAc;AAC1D,QAAM,KAAK,UAAU,IAAI,CAAC,MAAM,EAAE;AAClC,QAAM,KAAK,UAAU,IAAI,CAAC,MAAM,EAAE;AAClC,SAAO,EAAE,YAAY,CAAC,KAAK,IAAI,GAAG,KAAK,KAAK,IAAI,GAAG,MAAe,UAAU,CAAC,KAAK,IAAI,GAAG,KAAK,KAAK,IAAI,GAAG,MAAe;AAAA;AAGpH,IAAM,sBAAsB,CAAC,CAAC,GAAG,GAAG,IAAI,CAAC,GAAG,GAAG,IAAI,CAAC,GAAG,GAAG;AAE1D,IAAM,mBAAmB,CAAC,UAAU,QAAQ,IAAI,KAAK,KAAK,KAAK,MAAO,SAAQ,KAAK,MAAO,KAAI,KAAK;AAEnG,IAAM,kBAAkB,CAAC,QAAQ,WAAW,iBAAiB,KAAK,KAAK,IAAI,KAAK,MAAM,CAAE,QAAO,KAAK,OAAO,KAAK,OAAO,KAAK,OAAO;AAInI,IAAM,yBAAyB,CAAC,GAAG,MAAM,CAAC,CAAC,GAAG,GAAG,IAAI,CAAC,GAAG,GAAG,IAAI,CAAC,GAAG,GAAG;AAEvE,IAAM,MAAM,CAAC,IAAc,OAAiB;AACjD,MAAI,UAAU;AACd,WAAS,IAAI,GAAG,IAAI,GAAG,QAAQ;AAAK,eAAW,GAAG,KAAK,GAAG;AAC1D,SAAO;AAAA;AAGF,IAAM,qBAAqB,CAAC,KAAK,gBAAgB;AACtD,QAAM,SAAwB;AAC9B,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ;AAAK,WAAO,KAAK,IAAI,GAAG;AACxD,SAAO;AAAA;AAGF,IAAM,4BAA4B,CAAC,MAAM,SAAS;AACvD,QAAM,UAA2B;AACjC,QAAM,QAAO,KAAK;AAClB,WAAS,MAAM,GAAG,MAAM,OAAM,OAAO;AACnC,YAAQ,KAAK;AACb,aAAS,MAAM,GAAG,MAAM,OAAM;AAAO,cAAQ,KAAK,KAAK,IAAI,KAAK,MAAM,mBAAmB,MAAM;AAAA;AAEjG,SAAO;AAAA;AAGF,IAAM,sBAAsB,CAAC,UAAU,WAAW;AACvD,QAAM,OAAO,KAAK,IAAI;AACtB,QAAM,OAAO,KAAK,IAAI;AACtB,QAAM,iBAAiB,CAAC,CAAC,MAAM,CAAC,MAAM,IAAI,CAAC,MAAM,MAAM,IAAI,CAAC,GAAG,GAAG;AAClE,QAAM,oBAAoB,uBAAuB,OAAO,IAAI,OAAO;AACnE,QAAM,2BAA2B,0BAA0B,mBAAmB;AAC9E,QAAM,4BAA4B,uBAAuB,CAAC,OAAO,IAAI,CAAC,OAAO;AAC7E,SAAO,0BAA0B,0BAA0B;AAAA;AAGtD,IAAM,wBAAwB,CAAC,WAAW;AAC/C,QAAM,oBAAoB,CAAC,CAAC,OAAO,GAAG,IAAI,OAAO,GAAG,KAAK,CAAC,OAAO,GAAG,IAAI,OAAO,GAAG;AAClF,QAAM,uBAAuB,CAAC,OAAO,GAAG,IAAI,OAAO,GAAG;AACtD,QAAM,sBAAsB,CAAC,CAAC,IAAI,kBAAkB,IAAI,uBAAuB,CAAC,IAAI,kBAAkB,IAAI;AAC1G,SAAO,CAAC,kBAAkB,GAAG,OAAO,oBAAoB,KAAK,kBAAkB,GAAG,OAAO,oBAAoB,KAAK,CAAC,GAAG,GAAG;AAAA;AAGpH,IAAM,cAAc,CAAC,uBAAuB,mBAAmB,CAAC,IAAI,uBAAuB,eAAe,KAAK,IAAI,uBAAuB,eAAe;AAIzJ,yBAAyB,YAAW;AACzC,QAAM,OAAO,EAAE,SAAS,CAAC,aAAY,IAAI,aAAY,IAAI,SAAS,CAAC,GAAG;AACtE,QAAM,WAAmC;AACzC,WAAS,IAAI,GAAG,IAAI,KAAK,QAAQ,QAAQ,KAAK;AAC5C,UAAM,SAAS,KAAK,QAAQ;AAC5B,UAAM,WAAW,KAAK,MAAO,cAAY,SAAS,KAAK;AACvD,UAAM,WAAW,KAAK,MAAO,cAAY,SAAS,KAAK;AACvD,UAAM,aAAa,KAAK,QAAQ;AAChC,aAAS,QAAQ,GAAG,QAAQ,UAAU,SAAS;AAC7C,YAAM,UAAU,SAAU,SAAQ;AAClC,eAAS,QAAQ,GAAG,QAAQ,UAAU,SAAS;AAC7C,cAAM,UAAU,SAAU,SAAQ;AAClC,iBAAS,IAAI,GAAG,IAAI,YAAY;AAAK,mBAAQ,KAAK,CAAC,SAAS;AAAA;AAAA;AAAA;AAIlE,SAAO;AAAA;AAGF,4BAA4B,WAAW,MAAK,OAAO,gBAAgB,YAAW;AACnF,QAAM,UAAU,WAAW;AAC3B,QAAM,eAAe,UAAU,IAAI,CAAC,UAAW;AAAA,IAC7C,QAAQ,KAAK,aAAa,OAAM,KAAK,aAAY;AAAA,IACjD,QAAQ,KAAK,aAAa,OAAM,KAAK,aAAY;AAAA,IACjD,MAAM,MAAM;AAAA;AAEd,QAAM,aAAa,SAAU,UAAU,KAAO,KAAK,IAAI,SAAS;AAChE,QAAM,uBAAuB,aAAa,oBAAoB,OAAO,CAAC,GAAG,MAAM;AAC/E,QAAM,gBAAgB,aAAa,aAAa,IAAI,CAAC,UAAW,CAAC,GAAG,YAAY,OAAO,uBAAuB,MAAM,OAAQ;AAC5H,QAAM,wBAAwB,aAAa,sBAAsB,kBAAkB;AACnF,QAAM,YAAY,CAAC,GAAG,aAAa,EAAE,YAAY,KAAI,YAAY,UAAU,KAAI,aAAa;AAC5F,SAAO,cAAc,IAAI,CAAC,UAAW;AAAA,IACnC,KAAK,MAAM,MAAM,KAAK,IAAI,WAAW,sBAAsB;AAAA,IAC3D,KAAK,MAAM,MAAM,KAAK,IAAI,WAAW,sBAAsB;AAAA,IAC3D,KAAK,MAAM,MAAM,MAAM;AAAA;AAAA;AAIpB,6BAA6B,QAAQ,MAAK,OAAO,YAAW;AACjE,QAAM,eAAgB,KAAI,UAAU,UAAU,AAAO,cAAc,QAC/D,AAAO,cAAc,eACrB,AAAO,mBAAmB;AAC9B,MAAI,QAAQ;AACZ,MAAI,iBAAiB;AACrB,MAAI;AAEJ,MAAI,UAAU,IAAI,QAAQ,SAAS,qBAAqB;AACtD,YAAQ,gBAAgB,KAAI,UAAU,aAAa,KAAK,KAAI,UAAU,aAAa;AACnF,UAAM,aAAa,SAAU,UAAU,KAAO,KAAK,IAAI,SAAS;AAChE,QAAI,YAAY;AACd,YAAM,SAAgB,aAAa,EAAE,YAAY,KAAI,YAAY,UAAU,KAAI;AAC/E,YAAM,YAAmB,CAAC,OAAO,KAAK,MAAM,MAAM,IAAI,OAAO,KAAK,MAAM,MAAM;AAC9E,YAAM,UAAU,AAAG,uBAAM,iBAAiB,OAAO,OAAO,GAAG;AAC3D,uBAAiB,oBAAoB,CAAC,OAAO;AAC7C,cAAO,yBAAyB,MAAK,SAAS,CAAC,YAAW;AAC1D,MAAG,yBAAQ;AAAA,WACN;AACL,cAAO,yBAAyB,MAAK,OAAO,CAAC,YAAW;AAAA;AAAA,SAErD;AACL,YAAO,yBAAyB,MAAK,OAAO,CAAC,YAAW;AAAA;AAE1D,SAAO,CAAC,OAAO,gBAAgB;AAAA;;;ACzKjC,IAAM,iBAAiB;AACvB,IAAI;AACJ,IAAI,cAAkC;AACtC,IAAI,UAAyB;AAC7B,IAAI,YAAY;AAET,IAAM,OAAO,MAAM;AAE1B,qBAA2B,SAAqC;AArBhE;AAsBE,MAAI,IAAI;AAAS,aAAQ;AACzB,MAAI,CAAC,QAAO;AACV,aAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,eAAO,KAAK,aAAZ,mBAAsB,cAAa;AAC9F,QAAI,CAAC,UAAS,CAAC,OAAM;AAAa,UAAI,sBAAsB,cAAO,KAAK,aAAZ,mBAAsB;AAAA,aACzE,QAAO;AAAO,UAAI,eAAe,OAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,OAAM;AACpD,cAAY,OAAM,OAAO,GAAG,QAAQ,OAAM,OAAO,GAAG,MAAM,KAAK;AAC/D,MAAI,cAAc;AAAI,gBAAY;AAClC,gBAAc,AAAK,gBAAgB;AACnC,YAAU,AAAG,0BAAS;AACtB,SAAO;AAAA;AAGT,sBAAsB,YAAY;AAChC,QAAM,IAA4B;AAClC,IAAE,YAAY,AAAG,uBAAM,YAAY,CAAC,GAAG,IAAI,CAAC,IAAI;AAChD,IAAE,UAAU,AAAG,qBAAI,EAAE,WAAW;AAChC,IAAE,WAAW,AAAG,uBAAM,YAAY,CAAC,GAAG,IAAI,CAAC,IAAI;AAC/C,IAAE,qBAAqB,AAAG,qBAAI,EAAE,UAAU;AAC1C,IAAE,oBAAoB,AAAG,qBAAI,EAAE,SAAS;AACxC,IAAE,cAAc,AAAG,qBAAI,EAAE,oBAAoB;AAC7C,IAAE,SAAS,AAAG,qBAAI,EAAE,mBAAmB,EAAE;AACzC,IAAE,OAAO,AAAG,qBAAI,EAAE,mBAAmB,EAAE;AACvC,IAAE,kBAAkB,AAAG,qBAAI,EAAE,QAAQ;AACrC,IAAE,gBAAgB,AAAG,qBAAI,EAAE,MAAM;AACjC,QAAM,QAAQ,AAAG,0BAAS,CAAC,EAAE,iBAAiB,EAAE,gBAAgB;AAChE,SAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAChD,SAAO;AAAA;AAGT,wBAA+B,YAAoB,SAAgB;AApDnE;AAsDE,MAAK,CAAC,cAAgB,WAAW,yBAA2B,WAAW,MAAM,WAAW,KAAO,WAAW,MAAM,KAAK,KAAO,WAAW,MAAM,KAAK;AAAI,WAAO,EAAE,OAAO;AACtK,QAAM,IAA4B;AAElC,IAAE,UAAU,AAAG,uBAAM,eAAe,YAAY,CAAC,WAAW;AAC5D,IAAE,MAAM,AAAG,qBAAI,EAAE,SAAS;AAC1B,IAAE,aAAa,AAAG,qBAAI,EAAE,KAAK;AAC7B,QAAM,MAAM,iCAAO,QAAQ,EAAE;AAC7B,MAAI,MAAM,QAAQ,MAAM;AACtB,UAAM,SAAS,IAAI,KAAK,CAAC,GAAG,MAAM,EAAE,OAAO,EAAE;AAC7C,MAAE,YAAY,AAAG,wBAAO,CAAC,OAAO,IAAI,OAAO,KAAK;AAChD,MAAE,YAAY,AAAG,wBAAO,CAAC,OAAO,IAAI,OAAO,KAAK;AAChD,MAAE,SAAS,AAAG,wBAAO,CAAC,EAAE,WAAW,EAAE,YAAY;AACjD,MAAE,QAAQ,AAAG,yBAAQ,EAAE,QAAQ;AAAA,SAC1B;AACL,MAAE,QAAQ,AAAG,yBAAQ;AAAA;AAEvB,EAAG,yBAAQ;AACX,IAAE,QAAQ,aAAa,EAAE;AACzB,IAAE,SAAS,AAAG,uBAAM,EAAE,OAAO,CAAC,GAAG,IAAI,CAAC,IAAI;AAC1C,IAAE,UAAU,AAAG,yBAAQ,EAAE;AACzB,IAAE,SAAS,AAAG,yBAAQ,EAAE;AAExB,IAAE,MAAM,MAAM,AAAG,uBAAM,uBAAuB,EAAE,OAAO,EAAE,QAAS,eAAO,KAAK,aAAZ,mBAAsB,gBAAe,GAAK,eAAO,KAAK,aAAZ,mBAAsB,iBAAgB,GAAK,eAAO,KAAK,aAAZ,mBAAsB,kBAAiB;AAC9L,QAAM,MAAM,MAAM,EAAE,IAAI;AACxB,QAAM,QAAwG;AAC9G,QAAM,SAAS,MAAM,EAAE,OAAO;AAC9B,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AACnC,UAAM,aAAa,OAAO,IAAI;AAC9B,QAAI,aAAc,gBAAO,KAAK,aAAZ,mBAAsB,kBAAiB,IAAI;AAC3D,YAAM,IAA4B;AAClC,QAAE,OAAO,AAAG,uBAAM,EAAE,OAAO,CAAC,IAAI,IAAI,IAAI,CAAC,GAAG;AAC5C,QAAE,QAAQ,AAAG,uBAAM,EAAE,OAAO,CAAC,IAAI,IAAI,iBAAiB,IAAI,CAAC,GAAG;AAC9D,QAAE,UAAU,AAAG,yBAAQ,EAAE;AACzB,QAAE,YAAY,AAAG,yBAAQ,EAAE,SAAS,CAAC,gBAAgB;AACrD,QAAE,aAAa,AAAG,uBAAM,EAAE,MAAM,CAAC,GAAG,IAAI,CAAC,IAAI;AAC7C,QAAE,WAAW,AAAG,uBAAM,EAAE,MAAM,CAAC,GAAG,IAAI,CAAC,IAAI;AAC3C,YAAM,KAAK;AAAA,QACT,KAAK;AAAA,UACH,YAAa,MAAM,EAAE,WAAW;AAAA,UAChC,UAAW,MAAM,EAAE,SAAS;AAAA;AAAA,QAE9B,WAAY,MAAM,EAAE,UAAU;AAAA,QAC9B;AAAA;AAEF,aAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAAA;AAAA;AAIpD,SAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAChD,SAAO,EAAE,OAAO,aAAa,CAAC,WAAW,MAAM,KAAK,WAAW,WAAW,MAAM,KAAK;AAAA;;;ACvGvF;AAAA;AAAA;AAAA;AAAA;AAEO,IAAM,MAAqB;AAAA,EAChC;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;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;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA,EACA;AAAA;AAGK,IAAM,YAAsC;AAAA,EACjD,SAAS,CAAC,WAAW,YAAY,aAAa,YAAY;AAAA,EAC1D,UAAU,CAAC,YAAY,aAAa,cAAc,aAAa;AAAA,EAC/D,OAAO,CAAC,gBAAgB,iBAAiB,YAAY,WAAW;AAAA,EAChE,SAAS,CAAC,gBAAgB,aAAa,aAAa;AAAA,EACpD,UAAU,CAAC,iBAAiB,cAAc,cAAc;AAAA,EACxD,UAAU;AAAA,EACV,WAAW;AAAA,EACX,MAAM;AAAA;;;ACzCR,IAAM,OAAM,EAAE,SAAS;AACvB,IAAM,SAAiD,CAAC,MAAM;AAC9D,IAAM,aAAY,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG;AAC/B,IAAI,WAAU,OAAO;AACrB,IAAI;AACJ,IAAI,QAA2B;AAC/B,IAAI,UAA8B,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG;AAC/D,IAAI,YAAW;AAEf,0BAAiC,SAAqC;AApBtE;AAqBE,MAAI,KAAI;AAAS,WAAO,KAAK;AAC7B,MAAI,CAAC,OAAO,MAAM,eAAO,KAAK,aAAZ,mBAAsB,cAAa,IAAI;AACvD,WAAO,KAAK,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,eAAO,KAAK,aAAZ,mBAAsB,cAAa;AAClG,UAAM,SAAS,OAAO,OAAO,OAAO,GAAG,eAAe;AACtD,eAAU,GAAG,KAAK,MAAM,QAAQ,UAAU,SAAS,OAAO,GAAG,YAAY,IAAI,GAAG,QAAQ;AACxF,eAAU,GAAG,KAAK,MAAM,QAAQ,UAAU,SAAS,OAAO,GAAG,YAAY,IAAI,GAAG,QAAQ;AACxF,QAAI,CAAC,OAAO,MAAM,CAAC,OAAO,GAAG;AAAa,UAAI,sBAAsB,cAAO,KAAK,aAAZ,mBAAsB;AAAA,aACjF,QAAO;AAAO,UAAI,eAAe,OAAO,GAAG;AAAA,aAC3C,QAAO,SAAS,OAAO;AAAI,QAAI,iBAAiB,OAAO,GAAG;AACrE,SAAO,OAAO;AAAA;AAGhB,wBAA+B,SAAqC;AAjCpE;AAkCE,MAAI,KAAI;AAAS,WAAO,KAAK;AAC7B,MAAI,CAAC,OAAO,IAAI;AACd,WAAO,KAAK,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,QAAO,KAAK,aAAa;AACxF,UAAM,SAAS,OAAO,OAAO,OAAO,GAAG,eAAe;AACtD,eAAU,GAAG,KAAK,MAAM,QAAQ,UAAU,SAAS,OAAO,GAAG,YAAY,IAAI,GAAG,QAAQ;AACxF,eAAU,GAAG,KAAK,MAAM,QAAQ,UAAU,SAAS,OAAO,GAAG,YAAY,IAAI,GAAG,QAAQ;AACxF,QAAI,cAAO,KAAK,cAAZ,mBAAuB,SAAS;AAAS,oBAAc,CAAC,SAAS,uBAAuB,kBAAkB,YAAY;AAAA;AACrH,oBAAc,CAAC,YAAY,cAAc,cAAc,cAAc;AAC1E,QAAI,CAAC,OAAO,MAAM,CAAC,OAAO,GAAG;AAAa,UAAI,sBAAsB,QAAO,KAAK;AAAA,aACvE,QAAO;AAAO,UAAI,eAAe,OAAO,GAAG;AAAA,aAC3C,QAAO;AAAO,QAAI,iBAAiB,OAAO,GAAG;AACxD,SAAO,OAAO;AAAA;AAShB,wBAAwB,WAAgC,aAA2E;AACjI,QAAM,IAAI,UAAU,IAAI,CAAC,MAAM,EAAE,SAAS;AAC1C,QAAM,IAAI,UAAU,IAAI,CAAC,MAAM,EAAE,SAAS;AAC1C,QAAM,eAAoB,CAAC,KAAK,IAAI,GAAG,IAAI,KAAK,IAAI,GAAG,IAAI,KAAK,IAAI,GAAG,KAAK,KAAK,IAAI,GAAG,IAAI,KAAK,IAAI,GAAG,KAAK,KAAK,IAAI,GAAG;AACzH,QAAM,kBAAuB,CAAC,aAAa,KAAK,YAAW,IAAI,aAAa,KAAK,YAAW,IAAI,aAAa,KAAK,YAAW,IAAI,aAAa,KAAK,YAAW;AAC9J,SAAO,EAAE,cAAc;AAAA;AAGzB,4BAA4B,OAAgC;AAC1D,QAAM,IAA4B;AAClC,MAAI,CAAC,MAAM,SAAS,CAAC,MAAM,MAAM,MAAM,CAAC,MAAM,MAAM;AAAI,WAAO;AAC/D,YAAU;AAAA,IACR,CAAC,GAAG;AAAA,IACJ,CAAC,MAAM,MAAM,KAAK,MAAM,MAAM,KAAK,KAAK,MAAO,OAAM,MAAM,KAAK,MAAM,MAAM,MAAM,KAAK,GAAG,MAAM,MAAM,KAAK,MAAM,MAAM,KAAK,KAAK,MAAO,OAAM,MAAM,KAAK,MAAM,MAAM,MAAM,KAAK;AAAA,IAChL,CAAC,MAAM,MAAM,KAAK,MAAM,MAAM,KAAK,KAAK,MAAO,OAAM,MAAM,KAAK,MAAM,MAAM,MAAM,KAAK,GAAG,MAAM,MAAM,KAAK,MAAM,MAAM,KAAK,KAAK,MAAO,OAAM,MAAM,KAAK,MAAM,MAAM,MAAM,KAAK;AAAA,IAChL,CAAC,GAAG;AAAA;AAEN,IAAE,MAAM,AAAG,qBAAI,OAAO;AACtB,IAAE,SAAS,AAAG,uBAAM,eAAe,EAAE,KAAK,CAAC,WAAU,GAAG,IAAI,WAAU,GAAG;AACzE,QAAM,QAAQ,AAAG,qBAAI,EAAE,QAAQ;AAC/B,SAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAChD,SAAO;AAAA;AAGT,0BAA0B,WAAgC,aAAmD;AAC3G,aAAW,QAAO,WAAW;AAC3B,SAAI,WAAW;AAAA,MACb,KAAI,SAAS,KAAM,aAAW,KAAK,QAAQ,GAAG,KAAK,QAAQ,GAAG,MAAM,YAAW,KAAK,QAAQ,GAAG;AAAA,MAC/F,KAAI,SAAS,KAAM,aAAW,KAAK,QAAQ,GAAG,KAAK,QAAQ,GAAG,MAAM,YAAW,KAAK,QAAQ,GAAG;AAAA,MAC/F,KAAI,SAAS;AAAA;AAEf,SAAI,cAAc;AAAA,MAChB,KAAI,SAAS,KAAK,YAAW;AAAA,MAAI,KAAI,SAAS,KAAK,YAAW;AAAA,MAAI,KAAI,SAAS;AAAA;AAAA;AAGnF,SAAO;AAAA;AAGT,IAAM,WAAU,CAAC,MAAO,IAAK,IAAK,KAAI,KAAK,IAAI;AAE/C,2BAA2B,OAAe,SAAgB,aAA0D;AA9FpH;AA+FE,QAAM,IAA4B;AAClC,IAAE,QAAQ,MAAM,aAAa;AAQ7B,GAAC,EAAE,IAAqB,EAAE,cAA+B,EAAE,SAAyB,EAAE,OAAwB,EAAE,YAAqB,aAAO,OAAP,mBAAW,QAAQ,EAAE,OAAO;AACjK,QAAM,eAAgB,OAAM,EAAE,SAAS,QAAQ;AAC/C,QAAM,YAAY,KAAK,IAAI,GAAI,gBAAe,OAAQ,KAAI;AAC1D,QAAM,SAAS,MAAM,EAAE,GAAG;AAC1B,QAAM,oBAAyC;AAC/C,QAAM,QAAQ;AACd,WAAS,IAAI,GAAG,IAAI,OAAO,SAAS,OAAO,KAAK;AAC9C,UAAM,QAAQ,SAAQ,OAAO,QAAQ,IAAI;AACzC,UAAM,WAAW,SAAQ,OAAO,QAAQ,IAAI;AAC5C,UAAM,WAAW,KAAK,MAAM,MAAM,QAAQ,WAAW,aAAa;AAClE,UAAM,cAAqB,CAAC,OAAO,QAAQ,IAAI,KAAK,WAAU,GAAG,IAAI,OAAO,QAAQ,IAAI,KAAK,WAAU,GAAG,IAAI,OAAO,QAAQ,IAAI,KAAK;AACtI,UAAM,WAAkB,CAAC,KAAK,MAAM,YAAW,KAAK,YAAY,KAAK,KAAK,MAAM,YAAW,KAAK,YAAY,KAAK,YAAY;AAC7H,sBAAkB,KAAK,EAAE,MAAM,AAAO,IAAI,IAAI,aAAa,UAAU,OAAO;AAAA;AAE9E,MAAI,YAAa,SAAO,KAAK,iBAAiB;AAAI,WAAO;AACzD,QAAM,YAAiC,iBAAiB,mBAAmB;AAC3E,QAAM,QAAQ,eAAe,WAAW,CAAC,YAAW,IAAI,YAAW;AACnE,SAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAChD,QAAM,eAAyC;AAC/C,aAAW,CAAC,MAAM,YAAY,OAAO,QAAe,YAAY;AAC9D,UAAM,KAAqB;AAC3B,aAAS,IAAI,GAAG,IAAI,QAAQ,SAAS,GAAG,KAAK;AAC3C,YAAM,MAAM,UAAU,KAAK,CAAC,SAAQ,KAAI,SAAS,QAAQ;AACzD,YAAM,MAAM,UAAU,KAAK,CAAC,SAAQ,KAAI,SAAS,QAAQ,IAAI;AAC7D,UAAI,OAAO,OAAO,IAAI,QAAS,SAAO,KAAK,iBAAiB,MAAM,IAAI,QAAS,SAAO,KAAK,iBAAiB;AAAI,WAAG,KAAK,CAAC,IAAI,UAAU,IAAI;AAAA;AAE7I,iBAAY,QAAQ;AAAA;AAEtB,QAAM,QAAO,EAAE,IAAI,GAAG,OAAO,KAAK,MAAM,MAAM,aAAa,KAAK,KAAK,MAAM,cAAc,QAAQ,MAAM,iBAAiB,WAAW;AACnI,SAAO;AAAA;AAGT,wBAA8B,OAAe,SAAuC;AAClF,QAAM,cAA+B,CAAC,MAAM,MAAM,MAAM,GAAG,MAAM,MAAM,MAAM;AAC7E,QAAM,WAAY,SAAO,KAAK,YAAY,KAAM,QAAQ;AACxD,QAAM,YAAY,WAAW,SAAO,KAAK,cAAc;AACvD,MAAI,QAAO,eAAe,YAAY,aAAa,UAAU,MAAM;AACjE;AAAA,SACK;AACL,YAAQ,MAAM,YAAY,OAAO,SAAQ;AACzC,gBAAW;AACX,eAAU;AAAA;AAEZ,MAAI;AAAO,WAAO,CAAC;AACnB,SAAO;AAAA;;;ACjJF,IAAM,SAAS;AAAA,EACpB,EAAE,OAAO,GAAG,OAAO;AAAA,EACnB,EAAE,OAAO,GAAG,OAAO;AAAA,EACnB,EAAE,OAAO,GAAG,OAAO;AAAA,EACnB,EAAE,OAAO,GAAG,OAAO;AAAA,EACnB,EAAE,OAAO,GAAG,OAAO;AAAA,EACnB,EAAE,OAAO,GAAG,OAAO;AAAA,EACnB,EAAE,OAAO,GAAG,OAAO;AAAA,EACnB,EAAE,OAAO,GAAG,OAAO;AAAA,EACnB,EAAE,OAAO,GAAG,OAAO;AAAA,EACnB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA,EACpB,EAAE,OAAO,IAAI,OAAO;AAAA;;;ACrEtB,IAAI;AACJ,IAAI,aAAY;AAChB,IAAI,QAAuB;AAC3B,IAAI,YAAW;AACf,IAAI,WAAU,OAAO;AAErB,qBAA2B,SAAqC;AAC9D,MAAI,IAAI;AAAS,aAAQ;AACzB,MAAI,CAAC,QAAO;AAEV,aAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,QAAO,OAAO,aAAa;AACtF,UAAM,SAAS,OAAO,OAAO,OAAM,eAAe;AAClD,iBAAY,MAAM,QAAQ,UAAU,SAAS,OAAO,GAAG,YAAY,IAAI,GAAG,QAAQ;AAClF,QAAI,CAAC,UAAS,CAAC,OAAM;AAAa,UAAI,sBAAsB,QAAO,OAAO;AAAA,aACjE,QAAO;AAAO,UAAI,eAAe,OAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,OAAM;AACpD,SAAO;AAAA;AAGT,wBAAuB,KAAoB,aAAa,SAAgB;AACtE,MAAI,CAAC;AAAK,WAAO;AACjB,QAAM,UAA+B;AACrC,QAAM,aAAa,MAAM,IAAI;AAC7B,QAAM,WAAW,AAAG,yBAAQ;AAC5B,EAAG,yBAAQ;AACX,QAAM,MAAM,AAAG,uBAAM,UAAU,GAAG;AAClC,EAAG,yBAAQ;AACX,QAAM,SAAS,AAAG,uBAAM,CAAC,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,IAAI,KAAK;AAC1D,QAAM,SAAS,AAAG,yBAAQ;AAC1B,EAAG,yBAAQ;AACX,QAAM,UAAU,AAAG,yBAAQ,IAAI;AAC/B,QAAM,WAAW,AAAG,yBAAQ,IAAI;AAChC,MAAI,QAAQ,CAAC,MAAM,AAAG,yBAAQ;AAC9B,QAAM,OAAO,MAAM,AAAG,uBAAM,uBAAuB,QAAQ,SAAS,QAAO,OAAO,aAAa,QAAO,OAAO,cAAc,QAAO,OAAO;AACzI,EAAG,yBAAQ;AACX,EAAG,yBAAQ;AACX,EAAG,yBAAQ;AACX,QAAM,MAAM,MAAM,KAAK;AACvB,EAAG,yBAAQ;AACX,MAAI,IAAI;AACR,aAAW,MAAM,KAAK;AACpB,UAAM,QAAQ,KAAK,MAAM,MAAM,WAAW,GAAG,IAAI,MAAM;AACvD,UAAM,WAAW,WAAW,GAAG,IAAI;AACnC,UAAM,QAAQ,OAAO,UAAU;AAC/B,UAAM,CAAC,GAAG,KAAK;AAAA,MACb,WAAW,GAAG,IAAI,KAAK;AAAA,MACvB,WAAW,GAAG,IAAI,KAAK;AAAA;AAEzB,UAAM,SAAc;AAAA,MAClB;AAAA,MACA;AAAA,MACA,WAAW,GAAG,IAAI,KAAK,aAAY;AAAA,MACnC,WAAW,GAAG,IAAI,KAAK,aAAY;AAAA;AAErC,UAAM,OAAW;AAAA,MACf,KAAK,MAAM,OAAO,KAAK,YAAY;AAAA,MACnC,KAAK,MAAM,OAAO,KAAK,YAAY;AAAA,MACnC,KAAK,MAAM,OAAO,KAAK,YAAY;AAAA,MACnC,KAAK,MAAM,OAAO,KAAK,YAAY;AAAA;AAErC,YAAQ,KAAK,EAAE,IAAI,KAAK,OAAO,OAAO,UAAU,OAAO,WAAK;AAAA;AAE9D,SAAO;AAAA;AAGT,wBAA8B,OAAe,SAAyC;AACpF,QAAM,WAAY,SAAO,OAAO,YAAY,KAAM,QAAQ;AAC1D,QAAM,YAAY,WAAW,SAAO,OAAO,cAAc;AACzD,MAAI,QAAO,eAAe,YAAY,aAAc,MAAK,SAAS,GAAI;AACpE;AACA,WAAO;AAAA;AAET,aAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAM,cAAa,CAAC,MAAM,MAAM,IAAI,MAAM,MAAM;AAChD,UAAM,SAAS,AAAG,uBAAM,eAAe,OAAO,CAAC,YAAW;AAC1D,UAAM,UAAU,QAAO,OAAO,UAAU,iCAAO,QAAQ,QAAQ,CAAC,yBAAmC;AACnG,gBAAW;AACX,IAAG,yBAAQ;AAEX,UAAM,MAAM,MAAM,SAAQ,SAAS,aAAY;AAC/C,YAAO;AAEP,YAAQ;AAAA;AAAA;;;ACjGZ;AAAA;AAAA;AAAA;AAAA;AAAO,IAAM,OAAqB;AAAA,EAChC;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;AAGK,IAAM,aAAsC;AAAA,EACjD,SAAS,CAAC,WAAW,YAAY;AAAA,EACjC,UAAU,CAAC,YAAY,aAAa;AAAA,EACpC,OAAO,CAAC,gBAAgB,iBAAiB,YAAY,WAAW;AAAA,EAChE,SAAS,CAAC,gBAAgB,aAAa;AAAA,EACvC,UAAU,CAAC,iBAAiB,cAAc;AAAA,EAC1C,MAAM;AAAA;;;ACXR,IAAI;AACJ,IAAI,YAAW;AACf,IAAM,SAAoB,EAAE,IAAI,GAAG,WAAW,IAAI,KAAK,CAAC,GAAG,GAAG,GAAG,IAAI,QAAQ,CAAC,GAAG,GAAG,GAAG,IAAI,OAAO,GAAG,aAAa;AAMlH,IAAI,WAAU,OAAO;AAErB,qBAA2B,SAAqC;AAC9D,MAAI,IAAI;AAAS,aAAQ;AACzB,MAAI,CAAC,QAAO;AACV,aAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,QAAO,KAAK,aAAa;AACpF,QAAI,CAAC,UAAS,CAAC,OAAM;AAAa,UAAI,sBAAsB,QAAO,KAAK;AAAA,aAC/D,QAAO;AAAO,UAAI,eAAe,OAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,OAAM;AACpD,SAAO;AAAA;AAIT,eAAe,QAAQ,UAAU;AAC/B,QAAM,CAAC,OAAO,UAAU,OAAO;AAC/B,SAAO,AAAG,sBAAK,MAAM;AACnB,UAAM,WAAW,AAAG,yBAAQ,QAAQ,CAAC,SAAS;AAC9C,UAAM,WAAW,AAAG,qBAAI,UAAU,GAAG,WAAW;AAChD,QAAI,WAAW,UAAU;AACvB,YAAM,cAAc,AAAG,wBAAO,UAAU;AACxC,YAAM,IAAI,AAAG,qBAAI,aAAa,OAAO,WAAW;AAChD,YAAM,IAAI,AAAG,qBAAI,aAAa,AAAG,wBAAO,OAAO,UAAU,WAAW;AACpE,aAAO,CAAC,GAAG,GAAG;AAAA;AAEhB,WAAO,CAAC,GAAG,GAAG;AAAA;AAAA;AAIlB,wBAA8B,SAAe,SAAuC;AAClF,QAAM,WAAY,SAAO,KAAK,YAAY,KAAM,QAAQ;AACxD,QAAM,YAAY,WAAW,SAAO,KAAK,cAAc;AACvD,MAAI,QAAO,eAAe,YAAY,aAAa,OAAO,KAAK,OAAM,WAAW,SAAS,GAAG;AAC1F;AACA,WAAO,CAAC;AAAA;AAEV,aAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AA1DxC;AA2DI,UAAM,UAAS,AAAG,sBAAK,MAAM;AAC3B,UAAI,CAAC,kCAAO,OAAO,GAAG;AAAO,eAAO;AACpC,YAAM,SAAS,AAAG,uBAAM,eAAe,SAAO,CAAC,OAAM,OAAO,GAAG,MAAM,IAAI,OAAM,OAAO,GAAG,MAAM,KAAK;AACpG,YAAM,WAAU,AAAG,qBAAI,QAAQ;AAC/B,YAAM,OAAO,SAAQ,IAAI;AACzB,aAAO;AAAA;AAGT,QAAI;AACJ,QAAI,QAAO,KAAK;AAAS,aAAO,iCAAO,QAAQ;AAC/C,gBAAW;AACX,IAAG,yBAAQ;AAEX,QAAI,MAAM;AACR,aAAM,UAAU,SAAS;AACzB,YAAM,WAAU,KAAK;AACrB,MAAG,yBAAQ;AAEX,YAAM,SAAQ,SAAQ,QAAQ;AAC9B,MAAG,yBAAQ;AAEX,eAAS,KAAK,GAAG,KAAK,OAAM,QAAQ,MAAM;AAExC,cAAM,CAAC,IAAG,IAAG,aAAa,MAAM,OAAM,KAAK,QAAO,KAAK;AACvD,YAAI,YAAa,gBAAO,SAAP,mBAAa,kBAAiB,IAAI;AACjD,iBAAM,UAAU,KAAK;AAAA,YACnB,OAAO,KAAK,MAAM,MAAM,aAAa;AAAA,YACrC,MAAM,AAAO,KAAI;AAAA,YACjB,aAAa;AAAA,cAEX,KAAI,OAAM,OAAO,GAAG,MAAM;AAAA,cAAI,KAAI,OAAM,OAAO,GAAG,MAAM;AAAA;AAAA,YAE1D,UAAU;AAAA,cAER,KAAK,MAAM,QAAM,MAAM,KAAK,KAAI,OAAM,OAAO,GAAG,MAAM;AAAA,cAAK,KAAK,MAAM,QAAM,MAAM,KAAK,KAAI,OAAM,OAAO,GAAG,MAAM;AAAA;AAAA;AAAA;AAAA;AAKzH,aAAM,QAAQ,CAAC,MAAM,AAAG,yBAAQ;AAAA;AAElC,WAAM,QAAQ,OAAM,UAAU,OAAO,CAAC,MAAM,SAAU,KAAK,QAAQ,OAAO,KAAK,QAAQ,MAAO;AAC9F,UAAM,IAAI,OAAM,UAAU,IAAI,CAAC,MAAM,EAAE,SAAS;AAChD,UAAM,IAAI,OAAM,UAAU,IAAI,CAAC,MAAM,EAAE,SAAS;AAChD,WAAM,MAAM;AAAA,MACV,KAAK,IAAI,GAAG;AAAA,MACZ,KAAK,IAAI,GAAG;AAAA,MACZ,KAAK,IAAI,GAAG,KAAK,KAAK,IAAI,GAAG;AAAA,MAC7B,KAAK,IAAI,GAAG,KAAK,KAAK,IAAI,GAAG;AAAA;AAE/B,UAAM,OAAO,OAAM,UAAU,IAAI,CAAC,MAAM,EAAE,YAAY;AACtD,UAAM,OAAO,OAAM,UAAU,IAAI,CAAC,MAAM,EAAE,YAAY;AACtD,WAAM,SAAS;AAAA,MACb,KAAK,IAAI,GAAG;AAAA,MACZ,KAAK,IAAI,GAAG;AAAA,MACZ,KAAK,IAAI,GAAG,QAAQ,KAAK,IAAI,GAAG;AAAA,MAChC,KAAK,IAAI,GAAG,QAAQ,KAAK,IAAI,GAAG;AAAA;AAElC,eAAW,CAAC,MAAM,YAAY,OAAO,QAAe,aAAY;AAC9D,YAAM,KAAqB;AAC3B,eAAS,IAAI,GAAG,IAAI,QAAQ,SAAS,GAAG,KAAK;AAC3C,cAAM,MAAM,OAAM,UAAU,KAAK,CAAC,SAAQ,KAAI,SAAS,QAAQ;AAC/D,cAAM,MAAM,OAAM,UAAU,KAAK,CAAC,SAAQ,KAAI,SAAS,QAAQ,IAAI;AACnE,YAAI,OAAO,OAAO,IAAI,QAAS,SAAO,KAAK,iBAAiB,MAAM,IAAI,QAAS,SAAO,KAAK,iBAAiB;AAAI,aAAG,KAAK,CAAC,IAAI,UAAU,IAAI;AAAA;AAE7I,aAAM,YAAY,QAAQ;AAAA;AAE5B,YAAQ,CAAC;AAAA;AAAA;;;AClHb,IAAM,cAAc,CAAC,SAAS,WAAW,QAAQ,SAAS,OAAO,YAAY;AAC7E,IAAI;AAEJ,IAAM,QAAyD;AAC/D,IAAI,aAAY;AAChB,IAAI,YAAW;AACf,IAAI,WAAU,OAAO;AAGrB,IAAM,MAAM,CAAC,QAAQ,OAAQ;AAE7B,qBAA2B,SAAqC;AAvBhE;AAwBE,MAAI,IAAI;AAAS,aAAQ;AACzB,MAAI,CAAC,QAAO;AACV,aAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,eAAO,KAAK,YAAZ,mBAAqB,cAAa;AAC7F,QAAI,CAAC,UAAS,CAAC,OAAM;AAAa,UAAI,sBAAsB,cAAO,KAAK,YAAZ,mBAAqB;AAAA,aACxE,QAAO;AAAO,UAAI,eAAe,OAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,OAAM;AACpD,SAAO;AAAA;AAGT,wBAA8B,SAAe,SAAgB,KAAK,QAAO;AAjCzE;AAkCE,MAAI,CAAC;AAAO,WAAO;AACnB,QAAM,YAAY,WAAW,gBAAO,KAAK,YAAZ,mBAAqB,eAAc;AAChE,QAAM,WAAY,gBAAO,KAAK,YAAZ,mBAAqB,aAAY,KAAM,QAAQ;AACjE,MAAI,QAAO,eAAe,YAAY,aAAc,eAAc,UAAU,MAAK,QAAS,MAAK,KAAK,SAAS,GAAI;AAC/G;AACA,WAAO,MAAK;AAAA;AAEd,aAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AA1CxC;AA2CI,UAAM,MAAiD;AACvD,QAAI,eAAO,KAAK,YAAZ,oBAAqB,SAAS;AAChC,YAAM,IAA4B;AAClC,YAAM,aAAY,kCAAO,OAAO,GAAG,SAAQ,OAAM,OAAO,GAAG,MAAM,KAAK;AACtE,QAAE,SAAS,AAAG,uBAAM,eAAe,SAAO,CAAC,YAAW,aAAY;AAGlE,OAAC,EAAE,KAAK,EAAE,OAAO,EAAE,QAAQ,AAAG,uBAAM,EAAE,QAAQ,GAAG;AAEjD,QAAE,UAAU,AAAG,qBAAI,EAAE,KAAK,IAAI;AAC9B,QAAE,YAAY,AAAG,qBAAI,EAAE,OAAO,IAAI;AAClC,QAAE,WAAW,AAAG,qBAAI,EAAE,MAAM,IAAI;AAChC,QAAE,YAAY,AAAG,sBAAK,CAAC,EAAE,SAAS,EAAE,WAAW,EAAE;AACjD,QAAE,eAAe,AAAG,qBAAI,EAAE,WAAW;AACrC,QAAE,eAAe,AAAG,qBAAI,EAAE,cAAc;AACxC,QAAE,UAAU,iCAAO,QAAQ,EAAE;AAC7B,kBAAW;AACX,YAAM,OAAO,MAAM,EAAE,QAAQ;AAC7B,eAAS,IAAI,GAAG,IAAI,KAAK,QAAQ,KAAK;AACpC,YAAI,KAAK,KAAM,iBAAO,KAAK,YAAZ,oBAAqB,kBAAiB;AAAI,cAAI,KAAK,EAAE,OAAO,KAAK,IAAI,MAAM,KAAK,MAAM,MAAM,KAAK,MAAM,MAAM,SAAS,YAAY;AAAA;AAEnJ,UAAI,KAAK,CAAC,GAAG,MAAM,EAAE,QAAQ,EAAE;AAC/B,aAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAAA;AAElD,UAAK,OAAO;AACZ,iBAAY;AACZ,YAAQ;AAAA;AAAA;;;AC5DZ,IAAI;AACJ,IAAI,aAAY;AAEhB,IAAM,cAAc;AAEpB,IAAM,cAAc,AAAO,gBAAgB;AAC3C,IAAM,eAAe,AAAO,gBAAgB;AAE5C,IAAM,eAAe;AAAA,EACnB,YAAY,CAAC,YAAY,IAAI,YAAY,YAAY,SAAS;AAAA,EAC9D,aAAa,CAAC,aAAa,IAAI,aAAa,aAAa,SAAS;AAAA;AAGpE,IAAM,gBAAgB;AAAA,EACpB,aAAa;AAAA,EACb,aAAa;AAAA,EACb,OAAO;AAAA,EACP,gBAAgB;AAAA;AAGlB,qBAA2B,SAAqC;AA7BhE;AA8BE,MAAI,IAAI;AAAS,aAAQ;AACzB,MAAI,CAAC,QAAO;AACV,aAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,eAAO,KAAK,SAAZ,mBAAkB,cAAa;AAC1F,QAAI,CAAC,UAAS,CAAC,OAAM;AAAa,UAAI,sBAAsB,cAAO,KAAK,SAAZ,mBAAkB;AAAA,aACrE,QAAO;AAAO,UAAI,eAAe,OAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,OAAM;AACpD,eAAY,OAAM,OAAO,GAAG,QAAQ,OAAM,OAAO,GAAG,MAAM,KAAK;AAC/D,MAAI,eAAc;AAAI,iBAAY;AAClC,SAAO;AAAA;AAKT,+BAA+B,WAAW,WAAW,QAAQ,MAAM;AACjE,WAAS,IAAI,GAAG,IAAI,AAAO,yBAAyB,QAAQ,KAAK;AAC/D,UAAM,EAAE,KAAK,YAAY,AAAO,yBAAyB;AACzD,UAAM,kBAAkB,AAAO,gBAAgB,GAAG,SAAS;AAC3D,QAAI,CAAC,QAAQ,KAAK,SAAS,MAAM;AAC/B,eAAS,IAAI,GAAG,IAAI,QAAQ,QAAQ,KAAK;AACvC,cAAM,SAAQ,QAAQ;AACtB,kBAAU,gBAAgB,MAAM;AAAA,UAC9B,UAAU,QAAO;AAAA,UAAI,UAAU,QAAO;AAAA,UACrC,WAAU,QAAO,KAAK,UAAU,gBAAgB,IAAI,MAAM;AAAA;AAAA;AAAA;AAAA;AAAA;AAQ9D,IAAM,mCAAmC,CAAC,cAAc;AAC7D,QAAM,WAAW,UAAU,aAAa,WAAW,IAAI;AACvD,QAAM,YAAY,UAAU,aAAa,YAAY,IAAI;AACzD,SAAO,WAAW;AAAA;AAIb,IAAM,YAAY,CAAC,WAAW,OAAM,qBAAqB,qBAAqB,UAAU,OAAO,UAAU;AAC9G,QAAM,OAAM,AAAK,YAAY,AAAK,WAAW,AAAK,8BAA8B,CAAC,UAAU,sBAAsB,UAAU,wBAAwB;AACnJ,QAAM,UAAU,AAAK,WAAW;AAChC,MAAI,QAAO,AAAG,uBAAM,cAAc,OAAM,CAAC;AAAA,IACvC,KAAI,WAAW,KAAK;AAAA,IACpB,KAAI,WAAW,KAAK;AAAA,IAAU,KAAI,SAAS,KAAK;AAAA,IAChD,KAAI,SAAS,KAAK;AAAA,MAChB,CAAC,IAAI,CAAC,YAAW;AACrB,MAAI,QAAQ,IAAI,QAAQ,SAAS,kBAAkB;AACjD,UAAM,UAAU,AAAG,uBAAM,cAAc;AACvC,IAAG,yBAAQ;AACX,YAAO;AAAA;AAET,SAAO,EAAE,WAAK,SAAS;AAAA;AAIlB,IAAM,eAAe,CAAC,SAAS,QAAQ,YAAY,OAAO,UAAU;AACzE,QAAM,eAA6B;AACnC,WAAS,IAAI,GAAG,IAAI,cAAc,gBAAgB,KAAK;AACrD,UAAM,IAAI,QAAQ,IAAI;AACtB,UAAM,IAAI,QAAQ,IAAI,IAAI;AAC1B,UAAM,IAAI,QAAQ,IAAI,IAAI;AAC1B,iBAAa,KAAK;AAAA,MACf,QAAQ,IAAK,IAAI,aAAe,IAAI,cAAc,WAAW,KAAK,OAAO,WAAW;AAAA,MACpF,IAAI,aAAa,WAAW,KAAK,OAAO,WAAW;AAAA,MAAI;AAAA;AAAA;AAG5D,SAAO,EAAE,WAAW,cAAc,MAAM,aAAa,MAAM,cAAc;AAAA;AAKpE,IAAM,wBAAwB,CAAC,WAAW,YAAY,cAAc;AACzE,QAAM,eAAe,UAAU,AAAO,gBAAgB,GAAG,sBAAsB,cAAc,cAAc;AAC3G,QAAM,eAAe,UAAU,AAAO,gBAAgB,GAAG,sBAAsB,cAAc,cAAc;AAC3G,QAAM,WAAY,gBAAe,gBAAgB;AAEjD,SAAO,WAAW,IAAI,CAAC,OAAO,MAAM;AAClC,QAAI,IAAI;AACR,QAAI,MAAM,GAAG;AACX,UAAI;AAAA,eACK,MAAM,GAAG;AAClB,UAAI;AAAA;AAEN,WAAO,CAAC,MAAM,IAAI,MAAM,IAAI;AAAA;AAAA;AAIhC,2BAAkC,WAAW,OAAM,SAAQ,UAAU;AACnE,MAAI,CAAC,QAAO;AACV,QAAI,QAAO;AAAO,UAAI;AACtB,WAAO;AAAA;AAET,QAAM,EAAE,KAAK,YAAY,SAAS,gBAAgB,MAAM,gBAAgB,UAAU,WAAW,OAAM,aAAa,WAAW,IAAI,aAAa,WAAW,IAAI,UAAU;AACrK,QAAM,EAAE,KAAK,aAAa,SAAS,iBAAiB,MAAM,iBAAiB,UAAU,WAAW,OAAM,aAAa,YAAY,IAAI,aAAa,YAAY,IAAI,UAAU;AAC1K,QAAM,WAAW,AAAG,wBAAO,CAAC,aAAa;AACzC,EAAG,yBAAQ;AACX,EAAG,yBAAQ;AACX,QAAM,iBAAiB,OAAM,QAAQ;AACrC,EAAG,yBAAQ;AACX,QAAM,qBAAqB,MAAM,eAAe;AAChD,EAAG,yBAAQ;AACX,QAAM,cAAc,mBAAmB,MAAM,GAAG,cAAc,iBAAiB;AAC/E,QAAM,EAAE,WAAW,kBAAkB,MAAM,sBAAsB,aAAa,aAAa,YAAY,gBAAgB;AACvH,QAAM,eAAe,mBAAmB,MAAM,cAAc,iBAAiB;AAC7E,QAAM,EAAE,WAAW,mBAAmB,MAAM,uBAAuB,aAAa,cAAc,aAAa;AAC3G,QAAM,gCAAgC,iCAAiC;AACvE,MAAI,KAAK,IAAI,iCAAiC,IAAI;AAChD,0BAAsB,WAAW,kBAAkB,QAAQ;AAC3D,0BAAsB,WAAW,mBAAmB,SAAS;AAAA,aAGpD,gCAAgC,GAAG;AAC5C,0BAAsB,WAAW,kBAAkB,QAAQ,CAAC,aAAa;AAAA,SACpE;AACL,0BAAsB,WAAW,mBAAmB,SAAS,CAAC,aAAa;AAAA;AAE7E,QAAM,yBAAyB,sBAAsB,WAAW,mBAAmB;AACnF,QAAM,0BAA0B,sBAAsB,WAAW,oBAAoB;AACrF,QAAM,YAAY,UAAU,OAAO,wBAAwB,OAAO;AAClE,SAAO;AAAA;;;AC9HT,IAAI,WAA4B;AAChC,IAAI,SAA2B;AAC/B,IAAI,aAAY;AAChB,IAAI,WAAU,OAAO;AACrB,IAAI,YAAW;AAEf,wBAA8B,OAAe,SAAuC;AA5BpF;AA8BE,QAAM,WAAY,gBAAO,KAAK,aAAZ,mBAAsB,aAAY,KAAM,QAAQ;AAClE,QAAM,YAAY,WAAW,gBAAO,KAAK,aAAZ,mBAAsB,eAAc;AACjE,MAAI,CAAC,QAAO,eAAe,CAAC,YAAY,CAAC,aAAa,SAAS,WAAW,GAAG;AAC3E,UAAM,gBAAgB,MAAM,AAAU,SAAS,OAAO;AACtD,gBAAW;AACX,eAAW;AACX,eAAW,YAAY,cAAc,OAAO;AAC1C,YAAM,OAAgB;AAAA,QACpB,YAAY,SAAS,IAAI;AAAA,QACzB,UAAU,SAAS,IAAI;AAAA,QACvB,WAAW,SAAS;AAAA,QACpB,YAAY,SAAS;AAAA;AAEvB,eAAS,KAAK,AAAK,YAAY,AAAK,WAAW,AAAK,oBAAoB,MAAK,cAAc,cAAc,KAAK,KAAK,eAAO,KAAK,aAAZ,mBAAsB,eAAc;AAAA;AAEzJ,eAAU;AAAA,SACL;AACL;AAAA;AAEF,QAAM,QAA2B;AACjC,QAAM,WAA4B;AAClC,MAAI,KAAK;AACT,WAAS,IAAI,GAAG,IAAI,SAAS,QAAQ,KAAK;AACxC,QAAI,OAAM,SAAS;AACnB,QAAI,QAAQ;AACZ,QAAI;AACJ,UAAM,QAAmB;AAAA,MACvB,IAAI;AAAA,MACJ,MAAM;AAAA,MACN,SAAS;AAAA,MACT,KAAK,CAAC,GAAG,GAAG,GAAG;AAAA,MACf,QAAQ,CAAC,GAAG,GAAG,GAAG;AAAA,MAClB,OAAO;AAAA,MACP,UAAU;AAAA,MACV,WAAW;AAAA,MACX,aAAa;AAAA;AAGf,KAAC,OAAO,gBAAgB,MAAK,UAAU,AAAK,oBAAoB,OAAyC,MAAK,OAAO,eAAO,KAAK,SAAZ,mBAAkB,WAAU,aAAY,AAAU;AACvK,QAAI,yCAAQ,WAAR,mBAAgB,cAAc;AAChC,YAAM,YAAY,MAAM,sBAAsB,MAAK;AACnD,MAAG,yBAAQ,MAAK;AAChB,YAAK,SAAS;AAAA;AAEhB,UAAK,WAAW,KAAK,MAAM,MAAM,KAAI,cAAc;AACnD,QAAI,CAAC,eAAO,KAAK,SAAZ,mBAAkB,UAAS;AAC9B,YAAK,MAAM,AAAK,cAAc,MAAK;AACnC,YAAK,SAAS,AAAK,UAAU,MAAK;AAClC,YAAK,QAAQ,MAAK;AAClB,YAAK,OAAO,KAAI,UAAU,IAAI,CAAC,OAAO;AAAA,QAClC,MAAI,WAAW,KAAK,KAAI,SAAS,MAAO,IAAM,MAAI,SAAS,KAAK,KAAI,WAAW,MAAM,GAAG,KAAK,AAAU;AAAA,QACvG,MAAI,WAAW,KAAK,KAAI,SAAS,MAAO,IAAM,MAAI,SAAS,KAAK,KAAI,WAAW,MAAM,GAAG,KAAK,AAAU;AAAA;AAE3G,YAAK,UAAU,MAAK,KAAK,IAAI,CAAC,OAAO,CAAC,GAAG,KAAM,OAAM,MAAM,MAAM,IAAI,GAAG,KAAM,OAAM,MAAM,MAAM,IAAK,IAAG,MAAM,KAAK;AACnH,iBAAW,OAAO,OAAO,KAAY;AAAqB,cAAK,YAAY,OAAO,CAAC,MAAK,KAAK,AAAO,mBAAmB;AAAA,eAC9G,CAAC,QAAO;AACjB,UAAI,QAAO;AAAO,YAAI;AAAA,WACjB;AACL,YAAM,CAAC,UAAU,YAAY,iBAAiB,OAAM,QAAQ,MAAK;AACjE,YAAM,iBAAiB,MAAM,WAAW;AACxC,YAAK,YAAY,KAAK,MAAM,MAAM,eAAe,MAAM;AACvD,YAAM,iBAAiB,AAAG,yBAAQ,eAAe,CAAC,IAAI;AACtD,UAAI,YAAY,MAAM,eAAe;AACrC,MAAG,yBAAQ,CAAC,eAAe,gBAAgB,YAAY;AACvD,UAAI,MAAK,YAAa,gBAAO,KAAK,aAAZ,mBAAsB,kBAAiB,IAAI;AAC/D,aAAI,aAAa,MAAK;AAAA,aACjB;AACL,YAAI,cAAO,KAAK,SAAZ,mBAAkB;AAAS,sBAAY,MAAM,AAAK,YAAY,WAAW,MAAK,QAAQ,SAAQ;AAClG,cAAK,OAAO,AAAK,mBAAmB,WAAW,MAAK,OAAO,gBAAgB;AAC3E,cAAK,UAAU,MAAK,KAAK,IAAI,CAAC,OAAO,CAAC,GAAG,KAAM,OAAM,MAAM,MAAM,IAAI,GAAG,KAAM,OAAM,MAAM,MAAM,IAAK,IAAG,MAAM,KAAK;AACnH,mBAAW,OAAO,OAAO,KAAY;AAAkB,gBAAK,YAAY,OAAO,AAAO,gBAAgB,KAAK,IAAI,CAAC,WAAU,MAAK,KAAK;AACpI,eAAM,AAAK,YAAY,KAAK,AAAK,WAAW,AAAK,8BAA8B,MAAK,OAAQ,eAAO,KAAK,aAAZ,mBAAsB,eAAc,MAAO,YAAY,KAAI;AACvJ,cAAK,MAAM,AAAK,cAAc,MAAK;AACnC,cAAK,SAAS,AAAK,UAAU,MAAK;AAClC,cAAK,QAAQ,MAAK;AAClB,iBAAS,KAAK;AACd,QAAG,yBAAQ,MAAK;AAChB,SAAC,OAAO,gBAAgB,MAAK,UAAU,AAAK,oBAAoB,cAAO,KAAK,aAAZ,mBAAsB,UAAU,MAAK,OAAO;AAAA;AAAA;AAGhH,UAAM,KAAK;AAAA;AAEb,aAAW,CAAC,GAAG;AACf,SAAO;AAAA;AAGT,qBAA2B,SAAqC;AApHhE;AAqHE,MAAI,IAAI;AAAS,aAAQ;AACzB,MAAI,CAAC,QAAO;AACV,aAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,eAAO,KAAK,SAAZ,mBAAkB,cAAa;AAC1F,QAAI,CAAC,UAAS,CAAC,OAAM;AAAa,UAAI,sBAAsB,cAAO,KAAK,SAAZ,mBAAkB;AAAA,aACrE,QAAO;AAAO,UAAI,eAAe,OAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,OAAM;AACpD,eAAY,OAAM,OAAO,GAAG,QAAQ,OAAM,OAAO,GAAG,MAAM,KAAK;AAC/D,MAAI,eAAc;AAAI,iBAAY;AAClC,SAAO;AAAA;AAGF,IAAM,gBAAuB;AAC7B,IAAM,QAAe;;;AClH5B,IAAI;AACJ,IAAM,QAKD;AAEL,IAAI,YAAW;AACf,IAAI,aAAY;AAChB,IAAI,WAAU,OAAO;AAErB,qBAA2B,SAAqC;AA3BhE;AA4BE,QAAM,WAAW,KAAK,QAAO,eAAe,eAAO,KAAK,gBAAZ,mBAAyB,cAAa;AAClF,MAAI,IAAI;AAAS,aAAQ;AACzB,MAAI,CAAC,QAAO;AACV,aAAQ,MAAM,AAAG,gCAAe;AAChC,QAAI,CAAC;AAAO,UAAI,sBAAsB,eAAO,KAAK,gBAAZ,mBAAyB,cAAa;AAAA,aACnE,QAAO;AAAO,UAAI,eAAe;AAAA,aACjC,QAAO;AAAO,QAAI,iBAAiB;AAC9C,SAAO;AAAA;AAGF,kBAAiB,OAAe;AACrC,QAAM,UAAU,MAAM,SAAS,MAAM,UAAU;AAC/C,MAAI,CAAC,kCAAO,OAAO,GAAG;AAAO,WAAO;AACpC,QAAM,QAAO,AAAG,uBAAM,eAAe,SAAQ,CAAC,OAAM,OAAO,GAAG,MAAM,IAAI,OAAM,OAAO,GAAG,MAAM,KAAK;AACnG,QAAM,OAAO,AAAG,qBAAI,OAAM;AAC1B,EAAG,yBAAQ;AACX,SAAO;AAAA;AAoBT,wBAA8B,SAAe,SAAgB,KAAK,QAAO;AAhEzE;AAiEE,MAAI,CAAC;AAAO,WAAO;AACnB,QAAM,YAAY,WAAW,gBAAO,KAAK,gBAAZ,mBAAyB,eAAc;AACpE,QAAM,WAAY,gBAAO,KAAK,gBAAZ,mBAAyB,aAAY,KAAM,QAAQ;AACrE,MAAI,QAAO,eAAe,aAAa,YAAa,eAAc,UAAU,aAAK,SAAL,mBAAW,QAAQ,aAAK,SAAL,mBAAW,OAAM,GAAI;AAClH;AACA,WAAO,MAAK;AAAA;AAEd,aAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AAzExC;AA0EI,UAAM,MAAM;AAAA,MACV,KAAa;AAAA,MACb,QAAgB;AAAA,MAChB,aAAqB;AAAA,MACrB,YAAsB;AAAA;AAGxB,QAAI,eAAO,KAAK,gBAAZ,oBAAyB,SAAS;AACpC,YAAM,WAAW,SAAQ;AACzB,YAAM,OAAO,iCAAO,QAAQ;AAC5B,kBAAW;AACX,MAAG,yBAAQ;AACX,YAAM,UAAU,MAAM,KAAK,KAAK,CAAC,MAAM,EAAE,MAAM,OAAO;AACtD,YAAM,SAAS,MAAM,QAAQ;AAC7B,YAAM,aAAa,KAAK,MAAM,MAAM,KAAK,IAAK,OAAO,KAAK,QAAS;AACnE,UAAI,aAAc,iBAAO,KAAK,gBAAZ,oBAAyB,kBAAiB,IAAI;AAC9D,YAAI,SAAS,OAAO,MAAM,MAAM,WAAW;AAC3C,YAAI,cAAc,KAAK,IAAI,MAAM;AAAA;AAEnC,YAAM,SAAS,AAAG,wBAAO,KAAK,KAAK,CAAC,MAAM,EAAE,MAAM,OAAO,MAAM;AAC/D,YAAM,MAAO,OAAM,OAAO,QAAQ;AAClC,MAAG,yBAAQ;AACX,YAAM,OAAO,KAAK,KAAK,CAAC,MAAM,EAAE,MAAM,OAAO;AAC7C,YAAM,OAAM,MAAM,KAAK;AACvB,UAAI,MAAM,KAAK,MAAM,KAAI,MAAM,KAAK,KAAI,MAAM,KAAK,KAAK,MAAM,MAAM,KAAI,MAAM,KAAK,KAAK,MAAM,MAAM,KAAI,MAAM,MAAM;AAEpH,YAAM,OAAO,KAAK,KAAK,CAAC,MAAM,EAAE,MAAM,OAAO;AAG7C,YAAM,aAAa,OAAO,MAAM,KAAK,SAAmB;AACxD,UAAI,aAAa,MAAM,KAAK;AAC5B,WAAK,QAAQ,CAAC,MAAM,AAAG,yBAAQ;AAAA;AAEjC,UAAK,OAAO;AACZ,iBAAY;AACZ,YAAQ;AAAA;AAAA;;;AC1GL,qBAAoB,MAAK;AAC9B,SAAO;AAAA,IACL,KAAK,IAAI,KAAI,SAAS,KAAK,KAAI,WAAW;AAAA,IAC1C,KAAK,IAAI,KAAI,SAAS,KAAK,KAAI,WAAW;AAAA;AAAA;AAIvC,uBAAsB,MAAK;AAChC,SAAO;AAAA,IACL,KAAI,WAAW,KAAM,MAAI,SAAS,KAAK,KAAI,WAAW,MAAM;AAAA,IAC5D,KAAI,WAAW,KAAM,MAAI,SAAS,KAAK,KAAI,WAAW,MAAM;AAAA;AAAA;AAIzD,mCAAkC,MAAK,SAAO,UAAU;AAC7D,QAAM,IAAI,QAAM,MAAM;AACtB,QAAM,IAAI,QAAM,MAAM;AACtB,QAAM,QAAQ,CAAC;AAAA,IACb,KAAI,WAAW,KAAK;AAAA,IACpB,KAAI,WAAW,KAAK;AAAA,IACpB,KAAI,SAAS,KAAK;AAAA,IAClB,KAAI,SAAS,KAAK;AAAA;AAEpB,SAAO,AAAG,uBAAM,cAAc,SAAO,OAAO,CAAC,IAAI;AAAA;AAG5C,8BAA6B,MAAK,QAAQ;AAC/C,QAAM,aAAa,CAAC,KAAI,WAAW,KAAK,OAAO,IAAI,KAAI,WAAW,KAAK,OAAO;AAC9E,QAAM,WAAW,CAAC,KAAI,SAAS,KAAK,OAAO,IAAI,KAAI,SAAS,KAAK,OAAO;AACxE,QAAM,gBAAgB,KAAI,cAAc,IAAI,CAAC,UAAU;AACrD,UAAM,cAAc,CAAC,MAAM,KAAK,OAAO,IAAI,MAAM,KAAK,OAAO;AAC7D,WAAO;AAAA;AAET,SAAO,EAAE,YAAY,UAAU,eAAe,YAAY,KAAI;AAAA;AAGzD,qBAAoB,MAAK,SAAS,KAAK;AAC5C,QAAM,SAAS,cAAa;AAC5B,QAAM,QAAO,YAAW;AACxB,QAAM,cAAc,CAAC,SAAS,MAAK,KAAK,GAAG,SAAS,MAAK,KAAK;AAC9D,QAAM,aAAa,CAAC,OAAO,KAAK,YAAY,IAAI,OAAO,KAAK,YAAY;AACxE,QAAM,WAAW,CAAC,OAAO,KAAK,YAAY,IAAI,OAAO,KAAK,YAAY;AACtE,SAAO,EAAE,YAAY,UAAU,eAAe,KAAI;AAAA;AAG7C,sBAAqB,MAAK;AAC/B,QAAM,UAAU,cAAa;AAC7B,QAAM,QAAO,YAAW;AACxB,QAAM,UAAU,KAAK,IAAI,GAAG;AAC5B,QAAM,WAAW,UAAU;AAC3B,QAAM,aAAa,CAAC,QAAQ,KAAK,UAAU,QAAQ,KAAK;AACxD,QAAM,WAAW,CAAC,QAAQ,KAAK,UAAU,QAAQ,KAAK;AACtD,SAAO,EAAE,YAAY,UAAU,eAAe,KAAI;AAAA;AAc7C,2BAA0B,OAAO;AACtC,SAAO,QAAQ,IAAI,KAAK,KAAK,KAAK,MAAO,SAAQ,KAAK,MAAO,KAAI,KAAK;AAAA;AAGjE,0BAAyB,QAAQ,QAAQ;AAC9C,QAAM,UAAU,KAAK,KAAK,IAAI,KAAK,MAAM,CAAE,QAAO,KAAK,OAAO,KAAK,OAAO,KAAK,OAAO;AACtF,SAAO,kBAAiB;AAAA;AAGnB,IAAM,0BAAyB,CAAC,GAAG,MAAM,CAAC,CAAC,GAAG,GAAG,IAAI,CAAC,GAAG,GAAG,IAAI,CAAC,GAAG,GAAG;AAEvE,cAAa,IAAI,IAAI;AAC1B,MAAI,UAAU;AACd,WAAS,IAAI,GAAG,IAAI,GAAG,QAAQ,KAAK;AAClC,eAAW,GAAG,KAAK,GAAG;AAAA;AAExB,SAAO;AAAA;AAGF,6BAA4B,KAAK,aAAa;AACnD,QAAM,SAAwB;AAC9B,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AACnC,WAAO,KAAK,IAAI,GAAG;AAAA;AAErB,SAAO;AAAA;AAGF,oCAAmC,MAAM,MAAM;AACpD,QAAM,UAA2B;AACjC,QAAM,QAAO,KAAK;AAClB,WAAS,MAAM,GAAG,MAAM,OAAM,OAAO;AACnC,YAAQ,KAAK;AACb,aAAS,MAAM,GAAG,MAAM,OAAM,OAAO;AACnC,cAAQ,KAAK,KAAK,KAAI,KAAK,MAAM,oBAAmB,MAAM;AAAA;AAAA;AAG9D,SAAO;AAAA;AAGF,8BAA6B,UAAU,QAAQ;AACpD,QAAM,OAAO,KAAK,IAAI;AACtB,QAAM,OAAO,KAAK,IAAI;AACtB,QAAM,iBAAiB,CAAC,CAAC,MAAM,CAAC,MAAM,IAAI,CAAC,MAAM,MAAM,IAAI,CAAC,GAAG,GAAG;AAClE,QAAM,oBAAoB,wBAAuB,OAAO,IAAI,OAAO;AACnE,QAAM,2BAA2B,2BAA0B,mBAAmB;AAC9E,QAAM,4BAA4B,wBAAuB,CAAC,OAAO,IAAI,CAAC,OAAO;AAC7E,SAAO,2BAA0B,0BAA0B;AAAA;AAGtD,gCAA+B,QAAQ;AAC5C,QAAM,oBAAoB,CAAC,CAAC,OAAO,GAAG,IAAI,OAAO,GAAG,KAAK,CAAC,OAAO,GAAG,IAAI,OAAO,GAAG;AAClF,QAAM,uBAAuB,CAAC,OAAO,GAAG,IAAI,OAAO,GAAG;AACtD,QAAM,sBAAsB;AAAA,IAC1B,CAAC,KAAI,kBAAkB,IAAI;AAAA,IAC3B,CAAC,KAAI,kBAAkB,IAAI;AAAA;AAE7B,SAAO;AAAA,IACL,kBAAkB,GAAG,OAAO,oBAAoB;AAAA,IAChD,kBAAkB,GAAG,OAAO,oBAAoB;AAAA,IAChD,CAAC,GAAG,GAAG;AAAA;AAAA;AAIJ,sBAAqB,uBAAuB,gBAAgB;AACjE,SAAO;AAAA,IACL,KAAI,uBAAuB,eAAe;AAAA,IAC1C,KAAI,uBAAuB,eAAe;AAAA;AAAA;;;AClIvC,IAAM,WAAU;AAAA,EACrB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,UAAU,GAAG;AAAA,EAClB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,SAAS,GAAG;AAAA,EACjB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA,EAChB,EAAE,GAAG,QAAQ,GAAG;AAAA;;;AC13FX,yBAAmB;AAAA,EAQxB,YAAY,SAAO;AAPnB;AACA;AACA;AACA;AACA;AACA;AAGE,SAAK,QAAQ;AACb,SAAK,UAAU,AAAQ,SAAQ,IAAI,CAAC,WAAW,CAAC,OAAO,GAAG,OAAO;AACjE,SAAK,gBAAgB,AAAG,0BAAS,KAAK;AACtC,SAAK,YAAa,KAAK,SAAS,KAAK,MAAM,UAAU,KAAK,MAAM,OAAO,GAAG,QAAS,KAAK,MAAM,OAAO,GAAG,MAAM,KAAK;AACnH,SAAK,kBAAkB,AAAG,0BAAS,CAAC,KAAK,WAAW,KAAK;AACzD,SAAK,wBAAwB,AAAG,0BAAS,CAAC,KAAK,YAAY,GAAG,KAAK,YAAY;AAAA;AAAA,EAGjF,eAAe,OAAO;AACpB,UAAM,IAA4B;AAClC,MAAE,aAAa,AAAG,uBAAM,OAAO,CAAC,GAAG,IAAI,CAAC,IAAI;AAC5C,MAAE,WAAW,AAAG,uBAAM,OAAO,CAAC,GAAG,IAAI,CAAC,IAAI;AAC1C,MAAE,MAAM,AAAG,qBAAI,EAAE,YAAY,KAAK;AAClC,MAAE,kBAAkB,AAAG,qBAAI,EAAE,KAAK,KAAK;AACvC,MAAE,eAAe,AAAG,qBAAI,EAAE,UAAU,KAAK;AACzC,MAAE,MAAM,AAAG,qBAAI,EAAE,iBAAiB,EAAE;AACpC,MAAE,cAAc,AAAG,qBAAI,EAAE,KAAK,KAAK;AACnC,MAAE,MAAM,AAAG,qBAAI,EAAE,iBAAiB,EAAE;AACpC,MAAE,YAAY,AAAG,qBAAI,EAAE,KAAK,KAAK;AACjC,UAAM,MAAM,AAAG,0BAAS,CAAC,EAAE,aAAa,EAAE,YAAY;AACtD,WAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAChD,WAAO;AAAA;AAAA,EAGT,mBAAmB,kBAAkB,QAAO;AAC1C,UAAM,IAA4B;AAClC,MAAE,UAAU,AAAG,yBAAQ,kBAAkB,CAAC,IAAI,GAAG;AACjD,MAAE,MAAM,AAAG,qBAAI,EAAE,SAAS,KAAK;AAC/B,MAAE,YAAY,AAAG,qBAAI,EAAE,KAAK,KAAK,QAAQ;AACzC,UAAM,MAAM,AAAG,qBAAI,EAAE,WAAW,KAAK;AACrC,WAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAChD,WAAO;AAAA;AAAA,QAGH,QAAQ,OAAO,SAAuG;AAC1H,UAAM,IAA4B;AAClC,MAAE,SAAS,AAAG,uBAAM,eAAe,OAAO,CAAC,KAAK,WAAW,KAAK;AAChE,MAAE,MAAM,AAAG,qBAAI,EAAE,QAAQ;AACzB,MAAE,QAAQ,AAAG,qBAAI,EAAE,KAAK;AACxB,MAAE,UAAU,KAAK,MAAM,QAAQ,EAAE;AACjC,MAAE,cAAc,AAAG,yBAAQ,EAAE;AAC7B,MAAE,QAAQ,AAAG,uBAAM,EAAE,aAAa,CAAC,GAAG,IAAI,CAAC,IAAI;AAC/C,MAAE,UAAU,AAAG,yBAAQ,EAAE;AACzB,MAAE,SAAS,AAAG,yBAAQ,EAAE;AACxB,UAAM,SAAS,MAAM,EAAE,OAAO;AAC9B,MAAE,QAAQ,AAAG,uBAAM,EAAE,aAAa,CAAC,GAAG,IAAI,CAAC,IAAI;AAC/C,MAAE,OAAO,KAAK,eAAe,EAAE;AAE/B,MAAE,MAAM,MAAM,AAAG,uBAAM,uBAAuB,EAAE,MAAM,EAAE,QAAQ,IAAI,QAAO,KAAK,aAAa,QAAO,KAAK,cAAc,QAAO,KAAK;AACnI,UAAM,MAAM,MAAM,EAAE,IAAI;AACxB,UAAM,QAAmG;AACzG,eAAW,UAAS,KAAK;AACvB,YAAM,IAA4B;AAClC,QAAE,MAAM,AAAG,uBAAM,EAAE,MAAM,CAAC,QAAO,IAAI,CAAC,GAAG;AACzC,QAAE,QAAQ,AAAG,uBAAM,EAAE,aAAa,CAAC,QAAO,IAAI,CAAC,GAAG;AAClD,QAAE,OAAO,KAAK,mBAAmB,EAAE,OAAO;AAC1C,QAAE,gBAAgB,AAAG,yBAAQ,EAAE,MAAM,CAAC,IAAI;AAC1C,YAAM,OAAM,MAAM,EAAE,IAAI;AACxB,YAAM,aAAa,KAAI,MAAM,GAAG;AAChC,YAAM,WAAW,KAAI,MAAM,GAAG;AAC9B,YAAM,gBAAgB,MAAM,EAAE,cAAc;AAC5C,YAAM,QAAO,EAAE,YAAY,UAAU,eAAe,YAAY,OAAO;AACvE,YAAM,SAAS,AAAK,qBAAoB,OAAM,CAAC,MAAM,MAAM,KAAK,KAAK,WAAW,MAAM,MAAM,KAAK,KAAK;AACtG,YAAM,KAAK;AACX,aAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAAA;AAElD,WAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAChD,WAAO;AAAA;AAAA;;;AC1EX,IAAM,uBAAuB;AAC7B,IAAM,uBAAuB;AAC7B,IAAM,kBAAkB,CAAC,GAAG,GAAG,GAAG,IAAI,IAAI,GAAG;AAC7C,IAAM,wBAAwB;AAC9B,IAAM,gCAAgC;AACtC,IAAI,YAAW;AAER,yBAAmB;AAAA,EAQxB,YAAY,cAAc,gBAAe;AAPzC;AACA;AACA;AACA;AACA;AACA;AAGE,SAAK,eAAe;AACpB,SAAK,gBAAgB;AACrB,SAAK,YAAY,KAAK,iBAAiB,KAAK,cAAc,OAAO,GAAG,QAAQ,KAAK,cAAc,OAAO,GAAG,MAAM,KAAK;AACpH,SAAK,cAAc;AACnB,SAAK,UAAU,OAAO;AACtB,SAAK,gBAAgB;AAAA;AAAA,EAIvB,8BAA8B,WAAW;AACvC,UAAM,KAAK,UAAU,IAAI,CAAC,MAAM,EAAE;AAClC,UAAM,KAAK,UAAU,IAAI,CAAC,MAAM,EAAE;AAClC,UAAM,aAAa,CAAC,KAAK,IAAI,GAAG,KAAK,KAAK,IAAI,GAAG;AACjD,UAAM,WAAW,CAAC,KAAK,IAAI,GAAG,KAAK,KAAK,IAAI,GAAG;AAC/C,WAAO,EAAE,YAAY;AAAA;AAAA,EAGvB,uBAAuB,eAAe,gBAAgB;AACpD,UAAM,uBAAuB,cAAc,IAAI,CAAC,UAAU,AAAK,aAAY,CAAC,GAAG,OAAO,IAAI;AAC1F,UAAM,gBAAgB,KAAK,8BAA8B;AACzD,WAAO,AAAK,YAAW,AAAK,aAAY,gBAAgB;AAAA;AAAA,EAG1D,uBAAuB,WAAW;AAChC,UAAM,cAAc,KAAK,8BAA8B;AACvD,UAAM,gBAAgB,AAAK,YAAW,AAAK,aAAY,cAAc;AACrE,kBAAc,gBAAgB;AAC9B,aAAS,IAAI,GAAG,IAAI,gBAAgB,QAAQ,KAAK;AAC/C,oBAAc,cAAc,KAAK,UAAU,gBAAgB,IAAI,MAAM,GAAG;AAAA;AAE1E,WAAO;AAAA;AAAA,EAGT,mBAAmB,WAAW,OAAM,OAAO,gBAAgB;AACzD,UAAM,UAAU,AAAK,YAAW;AAChC,UAAM,cAAc,CAAC,QAAQ,KAAK,KAAK,WAAW,QAAQ,KAAK,KAAK,WAAY,SAAQ,KAAK,QAAQ,MAAM,KAAK,YAAY;AAC5H,UAAM,eAAe,UAAU,IAAI,CAAC,UAAU;AAAA,MAC5C,YAAY,KAAM,OAAM,KAAK,KAAK,YAAY;AAAA,MAC9C,YAAY,KAAM,OAAM,KAAK,KAAK,YAAY;AAAA,MAC9C,YAAY,KAAK,MAAM;AAAA;AAEzB,UAAM,uBAAuB,AAAK,qBAAoB,OAAO,CAAC,GAAG;AACjE,UAAM,gBAAgB,aAAa,IAAI,CAAC,UAAU;AAChD,YAAM,UAAU,AAAK,aAAY,OAAO;AACxC,aAAO,CAAC,GAAG,SAAS,MAAM;AAAA;AAE5B,UAAM,wBAAwB,AAAK,uBAAsB;AACzD,UAAM,YAAY,CAAC,GAAG,AAAK,cAAa,QAAO;AAC/C,UAAM,oBAAoB;AAAA,MACxB,AAAK,KAAI,WAAW,sBAAsB;AAAA,MAC1C,AAAK,KAAI,WAAW,sBAAsB;AAAA;AAE5C,WAAO,cAAc,IAAI,CAAC,UAAU;AAAA,MAClC,KAAK,MAAM,MAAM,KAAK,kBAAkB;AAAA,MACxC,KAAK,MAAM,MAAM,KAAK,kBAAkB;AAAA,MACxC,KAAK,MAAM,MAAM;AAAA;AAAA;AAAA,QAIf,cAAc,SAAO,SAAQ;AACjC,QAAI,cAAc;AAGlB,QAAI;AACJ,UAAM,WAAY,SAAO,KAAK,YAAY,KAAM,QAAQ;AACxD,UAAM,YAAY,KAAK,UAAW,SAAO,KAAK,cAAc;AAC5D,QAAI,QAAO,eAAe,YAAY,WAAW;AAC/C,cAAQ,MAAM,KAAK,aAAa,QAAQ,SAAO;AAC/C,WAAK,UAAU;AAAA;AAEjB,QAAI,QAAO;AAAa,WAAK;AAG7B,QAAI,SAAU,MAAM,SAAS,KAAQ,OAAM,WAAW,KAAK,iBAAmB,KAAK,kBAAkB,QAAO,KAAK,eAAgB,CAAC,QAAO,KAAK,YAAY;AACxJ,WAAK,gBAAgB;AACrB,WAAK,cAAc,CAAC,GAAG;AAEvB,UAAI,KAAK,YAAY,SAAS;AAAG,sBAAc;AAAA;AAEjD,UAAM,QAAyJ;AAG/J,aAAS,IAAI,GAAG,IAAI,KAAK,YAAY,QAAQ,KAAK;AAChD,YAAM,aAAa,KAAK,YAAY;AACpC,UAAI,CAAC;AAAY;AACjB,UAAI,QAAO,KAAK,WAAW;AACzB,cAAM,QAAQ,QAAO,KAAK,WAAW,AAAK,iBAAgB,WAAW,cAAc,wBAAwB,WAAW,cAAc,kCAAkC;AACtK,cAAM,aAAa,AAAK,cAAa;AACrC,cAAM,uBAAuB,CAAC,WAAW,KAAK,QAAM,MAAM,IAAI,WAAW,KAAK,QAAM,MAAM;AAC1F,cAAM,eAAe,QAAO,KAAK,YAAY,IAAI,QAAQ,SAAS,sBAAsB,AAAG,uBAAM,iBAAiB,SAAO,OAAO,GAAG,wBAAwB,QAAM;AACjK,cAAM,iBAAiB,AAAK,qBAAoB,CAAC,OAAO;AACxD,cAAM,SAAS,cAAc,KAAK,uBAAuB,WAAW,eAAe,kBAAkB;AACrG,cAAM,eAAe,AAAK,0BAAyB,QAAQ,cAAc,CAAC,KAAK,WAAW,KAAK;AAC/F,cAAM,YAAY,AAAG,qBAAI,cAAc;AACvC,QAAG,yBAAQ;AACX,QAAG,yBAAQ;AACX,cAAM,CAAC,aAAa,aAAa,KAAK,cAAc,QAAQ;AAC5D,oBAAW;AACX,QAAG,yBAAQ;AACX,cAAM,aAAc,OAAM,YAAY,QAAQ;AAC9C,QAAG,yBAAQ;AACX,YAAI,cAAc,QAAO,KAAK,gBAAgB,GAAG;AAC/C,gBAAM,oBAAoB,AAAG,yBAAQ,WAAW,CAAC,IAAI;AACrD,gBAAM,YAAY,MAAM,kBAAkB;AAC1C,UAAG,yBAAQ;AACX,UAAG,yBAAQ;AACX,gBAAM,UAAS,KAAK,mBAAmB,WAAW,QAAQ,OAAO;AACjE,gBAAM,kBAAkB,KAAK,uBAAuB;AACpD,eAAK,YAAY,KAAK,KAAK,iBAAiB;AAC5C,gBAAM,SAAS;AAAA,YACb,WAAW;AAAA,YACX;AAAA,YACA,eAAe,WAAW;AAAA,YAC1B,kBAAkB;AAAA,YAClB,KAAK,EAAE,SAAS,gBAAgB,YAAY,aAAa,gBAAgB;AAAA;AAE3E,gBAAM,KAAK;AAAA,eACN;AACL,eAAK,YAAY,KAAK;AAAA;AAExB,QAAG,yBAAQ;AAAA,aACN;AAEL,cAAM,WAAW,AAAK,YAAW,AAAK,aAAY,aAAa;AAC/D,cAAM,SAAS;AAAA,UACb,YAAY,WAAW;AAAA,UACvB,eAAe,WAAW;AAAA,UAC1B,kBAAkB;AAAA,UAClB,KAAK,EAAE,SAAS,SAAS,YAAY,aAAa,SAAS;AAAA,UAC3D,WAAW;AAAA;AAEb,cAAM,KAAK;AAAA;AAAA;AAGf,SAAK,cAAc,KAAK,YAAY,OAAO,CAAC,MAAM,MAAM;AACxD,SAAK,gBAAgB,MAAM;AAC3B,QAAI,MAAM,SAAS,QAAO,KAAK;AAAa,YAAM,SAAS,QAAO,KAAK;AACvE,WAAO;AAAA;AAAA;;;ACjKJ,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;AAAA,EAClB,aAAa,EAAE,GAAG,SAAS,GAAG,SAAS,GAAG,UAAU,GAAG,QAAQ,GAAG;AAAA,EAQlE,eAAe;AAAA,IACb,GAAG,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG;AAAA,IAChC,GAAG,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG;AAAA,IAChC,GAAG,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,KAAK,CAAC,IAAI,KAAK,CAAC,IAAI;AAAA,IACpC,GAAG,CAAC,CAAC,GAAG,KAAK,CAAC,IAAI,KAAK,CAAC,IAAI,KAAK,CAAC,IAAI;AAAA,IACtC,GAAG,CAAC,CAAC,GAAG,KAAK,CAAC,IAAI,KAAK,CAAC,IAAI,KAAK,CAAC,IAAI;AAAA;AAAA,EAExC,SAAS,CAAC,UAAU,OAAO,YAAY;AAAA,EACvC,WAAW,CAAC,UAAU,OAAO,cAAc;AAAA;AAGtC,IAAM,aAAa;AAAA,EACxB,MAAM;AAAA,EACN,MAAM;AAAA,EACN,MAAM;AAAA,EACN,aAAa,EAAE,GAAG,QAAQ,GAAG,QAAQ,GAAG;AAAA,EACxC,SAAS,CAAC,UAAU,WAAW,YAAY;AAAA;AAGtC,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;AAAA,EACpK,SAAS,CAAC,UAAU,gBAAgB,YAAY;AAAA;AAG3C,0BAAoB;AAAA,EAOzB,YAAY,MAAM;AANlB;AACA;AACA;AACA;AACA;AAIE,SAAK,OAAO;AACZ,SAAK,QAAQ;AACb,SAAK,aAAa;AAClB,SAAK,UAAU,CAAC,GAAK,GAAK,GAAK,GAAK;AACpC,SAAK,kBAAkB,CAAC,GAAK,GAAK,GAAK,GAAK;AAAA;AAAA,EAG9C,KAAK,QAAQ,MAAM,YAAY;AAC7B,QAAI,OAAO,KAAK,MAAM,YAAY;AAAa,WAAK,MAAM,UAAU;AACpE,SAAK,MAAM,QAAQ,KAAK,CAAC,MAAM;AAAA;AAAA,EAGjC,UAAU,QAAQ,UAAU,YAAY;AACtC,QAAI,CAAC,KAAK,WAAW;AAAS,WAAK,WAAW,UAAU;AACxD,SAAK,WAAW,QAAQ,KAAK,CAAC,UAAU;AAAA;AAAA,EAG1C,OAAO,QAAQ,QAAQ;AACrB,SAAK,QAAQ,UAAU;AAEvB,UAAM,QAAQ,KAAK,QAAQ,OAAO,CAAC,GAAG,MAAM,IAAI,GAAG;AACnD,SAAK,kBAAkB,KAAK,QAAQ,IAAI,CAAC,OAAO,KAAK,IAAI;AAAA;AAAA,EAG3D,aAAa,eAAe,oBAAoB;AAC9C,QAAI,aAAa;AAGjB,eAAW,aAAa,eAAe;AACrC,YAAM,eAAe,cAAc;AACnC,YAAM,gBAAgB,KAAK,MAAM;AACjC,UAAI,OAAO,kBAAkB,aAAa;AAGxC,sBAAc,KAAK,gBAAgB;AACnC;AAAA;AAGF,iBAAW,CAAC,cAAc,UAAU,eAAe;AACjD,YAAI,iBAAiB,cAAc;AACjC,wBAAc,QAAQ,KAAK,gBAAgB;AAC3C;AAAA;AAAA;AAAA;AAKN,eAAW,aAAa,oBAAoB;AAC1C,YAAM,oBAAoB,mBAAmB;AAC7C,YAAM,qBAAqB,KAAK,WAAW;AAC3C,UAAI,OAAO,uBAAuB,aAAa;AAG7C,sBAAc,KAAK,gBAAgB;AACnC;AAAA;AAGF,iBAAW,CAAC,mBAAmB,UAAU,oBAAoB;AAC3D,YAAI,sBAAsB,mBAAmB;AAC3C,wBAAc,QAAQ,KAAK,gBAAgB;AAC3C;AAAA;AAAA;AAAA;AAIN,WAAO,aAAa;AAAA;AAAA;;;ACpHxB,IAAM,EAAE,OAAO,OAAO,QAAQ,MAAM,UAAU;AAE9C,IAAM,EAAE,MAAM,MAAM,SAAS;AAE7B,IAAM,EAAE,YAAY,cAAc,gBAAgB,iBAAiB,iBAAiB,gBAAgB,mBAAmB,qBAAqB;AAG5I,IAAM,WAAW,IAAI,cAAc;AACnC,SAAS,KAAK,OAAO,MAAM;AAC3B,SAAS,UAAU,OAAO,YAAY;AACtC,SAAS,UAAU,OAAO,gBAAgB;AAC1C,SAAS,UAAU,OAAO,iBAAiB;AAC3C,WAAW,UAAU,CAAC,OAAO,OAAO,OAAO,QAAQ,OAAO,MAAM,OAAO,QAAQ;AAC7E,WAAS,KAAK,QAAQ,MAAM;AAC5B,WAAS,UAAU,QAAQ,gBAAgB;AAC3C,WAAS,UAAU,QAAQ,iBAAiB;AAAA;AAI9C,IAAM,UAAU,IAAI,cAAc;AAClC,QAAQ,KAAK,OAAO,MAAM;AAC1B,QAAQ,KAAK,OAAO,MAAM;AAC1B,QAAQ,UAAU,OAAO,YAAY;AACrC,QAAQ,UAAU,OAAO,gBAAgB;AACzC,QAAQ,KAAK,OAAO,MAAM;AAC1B,QAAQ,UAAU,OAAO,YAAY;AACrC,QAAQ,UAAU,OAAO,gBAAgB;AACzC,QAAQ,KAAK,QAAQ,MAAM;AAC3B,QAAQ,UAAU,QAAQ,YAAY;AACtC,QAAQ,UAAU,QAAQ,gBAAgB;AAC1C,QAAQ,KAAK,MAAM,MAAM;AACzB,QAAQ,UAAU,MAAM,YAAY;AACpC,QAAQ,UAAU,MAAM,gBAAgB;AACxC,QAAQ,UAAU,MAAM,gBAAgB;AACxC,QAAQ,KAAK,OAAO,MAAM;AAC1B,QAAQ,UAAU,OAAO,YAAY;AACrC,QAAQ,UAAU,OAAO,gBAAgB;AACzC,QAAQ,UAAU,OAAO,gBAAgB;AACzC,QAAQ,OAAO,OAAO;AACtB,QAAQ,OAAO,QAAQ;AAGvB,IAAM,QAAQ,IAAI,cAAc;AAChC,MAAM,KAAK,OAAO,MAAM;AACxB,MAAM,KAAK,OAAO,MAAM;AACxB,MAAM,KAAK,QAAQ,MAAM;AACzB,MAAM,KAAK,MAAM,MAAM;AACvB,MAAM,KAAK,OAAO,MAAM;AACxB,MAAM,OAAO,OAAO;AACpB,MAAM,OAAO,QAAQ;AAGrB,IAAM,eAAe,IAAI,cAAc;AACvC,aAAa,KAAK,OAAO,MAAM;AAC/B,aAAa,KAAK,OAAO,MAAM;AAC/B,aAAa,KAAK,QAAQ,MAAM;AAChC,aAAa,KAAK,MAAM,MAAM;AAC9B,aAAa,KAAK,OAAO,MAAM;AAC/B,aAAa,OAAO,OAAO;AAC3B,aAAa,OAAO,QAAQ;AAG5B,IAAM,WAAW,IAAI,cAAc;AACnC,SAAS,KAAK,OAAO,MAAM;AAC3B,SAAS,KAAK,OAAO,MAAM;AAC3B,SAAS,KAAK,QAAQ,MAAM;AAC5B,SAAS,KAAK,MAAM,MAAM;AAC1B,SAAS,KAAK,OAAO,MAAM;AAE3B,IAAO,wBAAQ,CAAC,UAAU,SAAS,OAAO,cAAc;;;ACpExD,IAAM,gBAAgB;AACtB,IAAM,UAAU;AAAA,EAEd,uBAAuB;AAAA,EACvB,qBAAqB;AAAA,EAErB,qBAAqB;AAAA,EACrB,yBAAyB;AAAA,EACzB,wBAAwB;AAAA;AAG1B,wBAAwB,SAAS,SAAS,SAAS,SAAS;AAC1D,QAAM,QAAS,WAAU,WAAY,WAAU;AAC/C,MAAI,QAAQ,KAAK,KAAK,SAAS,MAAM,KAAK;AAC1C,MAAI,SAAS;AAAG,YAAQ,CAAC;AAAA,WAChB,QAAQ;AAAG,YAAQ,MAAM;AAClC,SAAO;AAAA;AAKT,mBAAmB,QAAQ,QAAQ;AACjC,MAAI,CAAC,UAAU,CAAC;AAAQ,WAAO,CAAC,GAAG;AACnC,QAAM,UAAU,eAAe,OAAO,IAAI,OAAO,IAAI,OAAO,IAAI,OAAO;AACvE,MAAI,OAAO,WAAW;AAAG,WAAO;AAChC,QAAM,UAAU,eAAe,OAAO,IAAI,OAAO,IAAI,OAAO,IAAI,OAAO;AACvE,SAAO,CAAC,SAAS;AAAA;AAGnB,4BAA4B,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;AAAA;AAGlC,4BAA4B,YAAY,UAAU,UAAU;AAC1D,QAAM,mBAAmB,WAAW,KAAK,SAAS;AAClD,QAAM,mBAAmB,WAAW,KAAK,SAAS;AAClD,QAAM,iBAAiB,SAAS,KAAK,SAAS;AAC9C,QAAM,mBAAmB,WAAW,KAAK,SAAS;AAClD,QAAM,mBAAmB,WAAW,KAAK,SAAS;AAClD,QAAM,iBAAiB,SAAS,KAAK,SAAS;AAC9C,QAAM,mBAAmB,WAAW,KAAK,SAAS;AAClD,QAAM,mBAAmB,WAAW,KAAK,SAAS;AAClD,QAAM,iBAAiB,SAAS,KAAK,SAAS;AAC9C,QAAM,iBAAiB,KAAK,KAAK,mBAAmB,mBAAmB,mBAAmB,mBAAmB,mBAAmB;AAChI,QAAM,iBAAiB,KAAK,KAAK,mBAAmB,mBAAmB,mBAAmB,mBAAmB,mBAAmB;AAChI,QAAM,eAAe,KAAK,KAAK,iBAAiB,iBAAiB,iBAAiB,iBAAiB,iBAAiB;AACpH,MAAI,SAAU,gBAAe,eAAe,iBAAiB,iBAAiB,iBAAiB,kBAAmB,KAAI,eAAe;AACrI,MAAI,SAAS;AAAK,aAAS;AAAA,WAClB,SAAS;AAAM,aAAS;AACjC,MAAI,eAAe,KAAK,KAAK;AAC7B,iBAAgB,UAAU,eAAgB;AAC1C,MAAI;AACJ,MAAI,eAAe,QAAQ;AAAqB,iBAAa,WAAW;AAAA,WAC/D,eAAe,QAAQ;AAAuB,iBAAa,WAAW;AAAA;AAC1E,iBAAa,WAAW;AAC7B,SAAO;AAAA;AAGT,qCAAqC,kBAAkB,kBAAkB,gBAAgB,YAAY;AACnG,MAAI;AACJ,MAAI,eAAe,KAAK,IAAI,mBAAmB;AAC7C,QAAI,mBAAmB;AAAG,2BAAqB,gBAAgB;AAAA;AAC1D,2BAAqB,gBAAgB;AAAA,aACjC,eAAe,KAAK,IAAI,mBAAmB;AACpD,QAAI,mBAAmB;AAAG,2BAAqB,gBAAgB;AAAA;AAC1D,2BAAqB,gBAAgB;AAAA,SACrC;AACL,QAAI,iBAAiB;AAAG,2BAAqB,gBAAgB;AAAA;AACxD,2BAAqB,gBAAgB;AAAA;AAE5C,SAAO;AAAA;AAGT,mCAAmC,kBAAkB,kBAAkB,gBAAgB,YAAY;AACjG,MAAI;AACJ,MAAI,eAAe,KAAK,IAAI,mBAAmB;AAC7C,QAAI,mBAAmB;AAAG,2BAAqB,gBAAgB;AAAA;AAC1D,2BAAqB,gBAAgB;AAAA,aACjC,eAAe,KAAK,IAAI,mBAAmB;AACpD,QAAI,mBAAmB;AAAG,2BAAqB,gBAAgB;AAAA;AAC1D,2BAAqB,gBAAgB;AAAA,SACrC;AACL,QAAI,iBAAiB;AAAG,2BAAqB,gBAAgB;AAAA;AACxD,2BAAqB,gBAAgB;AAAA;AAE5C,SAAO;AAAA;AAGT,mCAAmC,kBAAkB,kBAAkB,gBAAgB,YAAY,kBAAkB,kBAAkB,gBAAgB,YAAY;AACjK,MAAI;AACJ,QAAM,0BAA0B,0BAA0B,kBAAkB,kBAAkB,gBAAgB;AAC9G,QAAM,4BAA4B,4BAA4B,kBAAkB,kBAAkB,gBAAgB;AAClH,MAAI,4BAA4B,gBAAgB,YAAY;AAC1D,QAAI,8BAA8B,gBAAgB;AAAgB,2BAAqB,gBAAgB;AAAA;AAClG,2BAAqB,gBAAgB;AAAA,SACrC;AACL,QAAI,8BAA8B,gBAAgB;AAAgB,2BAAqB,gBAAgB;AAAA;AAClG,2BAAqB,gBAAgB;AAAA;AAE5C,SAAO;AAAA;AAGT,kCAAkC,YAAY,UAAU,UAAU,cAAc;AAC9E,QAAM,mBAAmB,WAAW,KAAK,SAAS;AAClD,QAAM,mBAAmB,WAAW,KAAK,SAAS;AAClD,QAAM,iBAAiB,SAAS,KAAK,SAAS;AAC9C,QAAM,mBAAmB,WAAW,KAAK,SAAS;AAClD,QAAM,mBAAmB,WAAW,KAAK,SAAS;AAClD,QAAM,iBAAiB,SAAS,KAAK,SAAS;AAC9C,QAAM,aAAa,KAAK,IAAI,KAAK,IAAI,mBAAmB,KAAK,IAAI,mBAAmB,KAAK,IAAI;AAC7F,QAAM,aAAa,KAAK,IAAI,KAAK,IAAI,mBAAmB,KAAK,IAAI,mBAAmB,KAAK,IAAI;AAC7F,MAAI,eAAe;AACnB,MAAI,eAAe;AACnB,MAAI,iBAAiB;AACrB,QAAM,2BAA2B,aAAc,cAAa;AAC5D,MAAI,2BAA2B;AAAK,oBAAgB,QAAQ;AAAA,WACnD,2BAA2B;AAAM,oBAAgB,QAAQ;AAAA;AAC7D,sBAAkB,QAAQ;AAC/B,QAAM,iBAAiB,KAAK,KAAK,mBAAmB,mBAAmB,mBAAmB;AAC1F,QAAM,iBAAiB,KAAK,KAAK,mBAAmB,mBAAmB,mBAAmB;AAC1F,QAAM,eAAe,KAAK,KAAK,iBAAiB,iBAAiB,iBAAiB;AAClF,QAAM,WAAW,KAAK,IAAI,gBAAgB,gBAAgB;AAC1D,MAAI,qBAAqB,WAAW;AACpC,MAAI,qBAAqB,WAAW;AACpC,MAAI,mBAAmB,SAAS;AAChC,MAAI,mBAAmB,SAAS;AAChC,MAAI,aAAa,gBAAgB;AAC/B,uBAAmB,SAAS;AAC5B,uBAAmB,SAAS;AAAA,aACnB,aAAa,cAAc;AACpC,yBAAqB,SAAS;AAC9B,yBAAqB,SAAS;AAAA;AAEhC,QAAM,iBAAiB,CAAC,oBAAoB;AAC5C,QAAM,eAAe,CAAC,kBAAkB;AACxC,QAAM,aAAa,UAAU,gBAAgB;AAC7C,QAAM,QAAQ,mBAAmB,YAAY,QAAQ;AACrD,kBAAgB,MAAM;AACtB,kBAAgB,MAAM;AACtB,oBAAkB,MAAM;AACxB,aAAW,eAAe,cAAc;AACtC,UAAM,cAAc,mBAAmB,aAAa,QAAQ;AAC5D,oBAAgB,YAAY;AAC5B,oBAAgB,YAAY;AAC5B,sBAAkB,YAAY;AAAA;AAIhC,MAAI;AACJ,MAAI,iBAAiB,KAAK,IAAI,cAAc,cAAc,iBAAiB;AACzE,yBAAqB,0BAA0B,kBAAkB,kBAAkB,gBAAgB;AAAA,aAC1F,mBAAmB,KAAK,IAAI,cAAc,iBAAiB;AACpE,yBAAqB,4BAA4B,kBAAkB,kBAAkB,gBAAgB;AAAA,SAChG;AACL,yBAAqB,0BAA0B,kBAAkB,kBAAkB,gBAAgB,YAAY,kBAAkB,kBAAkB,gBAAgB;AAAA;AAErK,SAAO;AAAA;AAGT,kBAAkB,WAAW;AAE3B,QAAM,WAA4B;AAClC,QAAM,WAA4B;AAClC,QAAM,cAA6B;AACnC,QAAM,mBAAkC;AACxC,MAAI,CAAC;AAAW,WAAO,EAAE,OAAO,aAAa,YAAY;AAGzD,aAAW,UAAU,OAAO,KAAK;AAC/B,UAAM,SAAS,OAAO,UAAU;AAChC,UAAM,YAA2B;AACjC,UAAM,YAA2B;AACjC,eAAW,UAAS,QAAQ;AAC1B,YAAM,SAAS,UAAU,OAAM;AAC/B,YAAM,UAAS,UAAU,OAAM;AAE/B,YAAM,SAAS,UAAU,QAAQ;AACjC,YAAM,UAAU,OAAO;AACvB,YAAM,UAAU,OAAO;AACvB,gBAAU,KAAK;AACf,gBAAU,KAAK;AAAA;AAEjB,aAAS,KAAK;AACd,aAAS,KAAK;AAAA;AAIhB,aAAW,UAAU,OAAO,KAAK;AAE/B,UAAM,eAAgB,WAAW,OAAO,QAAS,IAAI;AACrD,UAAM,iBAAiB,OAAO,UAAU;AACxC,UAAM,aAAa,UAAU,eAAe,cAAc;AAC1D,UAAM,WAAW,UAAU,eAAe,eAAe,GAAG;AAC5D,UAAM,WAAW,UAAU,eAAe,GAAG;AAE7C,UAAM,eAAe,mBAAmB,YAAY,UAAU;AAC9D,UAAM,iBAAiB,yBAAyB,YAAY,UAAU,UAAU,SAAS,QAAQ,MAAM;AACvG,gBAAY,UAAU;AACtB,qBAAiB,UAAU;AAAA;AAE7B,SAAO,EAAE,OAAO,aAAa,YAAY;AAAA;AAGpC,iBAAiB,WAAW;AACjC,MAAI,CAAC,aAAa,UAAU,WAAW;AAAG,WAAO;AACjD,QAAM,eAAe,SAAS;AAC9B,QAAM,YAAY;AAClB,aAAW,aAAa,OAAO,KAAK;AAClC,cAAU,OAAO,QAAQ,cAAc;AAAA,MACrC,MAAM,WAAW,QAAQ,aAAa,MAAM;AAAA,MAC5C,WAAW,gBAAgB,QAAQ,aAAa,WAAW;AAAA;AAAA;AAG/D,SAAO;AAAA;AAGF,eAAe,WAAW;AAC/B,QAAM,QAAqD;AAC3D,MAAI,CAAC,aAAa,UAAU,WAAW;AAAG,WAAO;AACjD,QAAM,eAAe,SAAS;AAC9B,aAAW,YAAW,uBAAU;AAC9B,UAAM,aAAa,SAAQ,aAAa,aAAa,OAAO,aAAa;AACzE,QAAI,cAAc;AAAe,YAAM,KAAK,EAAE,MAAM,SAAQ,MAAM;AAAA;AAEpE,SAAO;AAAA;;;AC/NT,IAAM,mBAAkB;AAAA,EACtB,OAAO,CAAC,GAAG,GAAG,GAAG;AAAA,EACjB,OAAO,CAAC,GAAG,GAAG,GAAG;AAAA,EACjB,QAAQ,CAAC,GAAG,IAAI,IAAI;AAAA,EACpB,MAAM,CAAC,IAAI,IAAI,IAAI;AAAA,EACnB,OAAO,CAAC,IAAI,IAAI,IAAI;AAAA,EACpB,MAAM,CAAC;AAAA;AAGT,IAAI;AACJ,IAAI;AACJ,IAAI;AAEJ,wBAA8B,OAAe,SAAuC;AAClF,QAAM,cAAc,MAAM,aAAa,cAAc,OAAO;AAC5D,MAAI,CAAC;AAAa,WAAO;AACzB,QAAM,QAA2B;AACjC,WAAS,IAAI,GAAG,IAAI,YAAY,QAAQ,KAAK;AAC3C,UAAM,eAAc;AACpB,QAAI,YAAY,GAAG,WAAW;AAC5B,iBAAW,OAAO,OAAO,KAAK,mBAAkB;AAC9C,qBAAY,OAAO,iBAAgB,KAAK,IAAI,CAAC,WAAU,YAAY,GAAG,UAAU;AAAA;AAAA;AAIpF,UAAM,YAAY,YAAY,GAAG;AAEjC,QAAI,OAAW,CAAC,OAAO,kBAAkB,OAAO,kBAAkB,GAAG;AACrE,QAAI,SAAc,CAAC,GAAG,GAAG,GAAG;AAC5B,QAAI,aAAa,UAAU,SAAS,GAAG;AACrC,iBAAW,MAAM,WAAW;AAC1B,YAAI,GAAG,KAAK,KAAI;AAAI,eAAI,KAAK,GAAG;AAChC,YAAI,GAAG,KAAK,KAAI;AAAI,eAAI,KAAK,GAAG;AAChC,YAAI,GAAG,KAAK,KAAI;AAAI,eAAI,KAAK,GAAG;AAChC,YAAI,GAAG,KAAK,KAAI;AAAI,eAAI,KAAK,GAAG;AAAA;AAElC,WAAI,MAAM,KAAI;AACd,WAAI,MAAM,KAAI;AACd,eAAS,CAAC,KAAI,KAAM,OAAM,MAAM,MAAM,IAAI,KAAI,KAAM,OAAM,MAAM,MAAM,IAAI,KAAI,KAAM,OAAM,MAAM,MAAM,IAAI,KAAI,KAAM,OAAM,MAAM,MAAM;AAAA,WACjI;AACL,aAAM,YAAY,GAAG,MAAM;AAAA,QACzB,KAAK,MAAM,KAAK,IAAI,GAAG,YAAY,GAAG,IAAI,QAAQ;AAAA,QAClD,KAAK,MAAM,KAAK,IAAI,GAAG,YAAY,GAAG,IAAI,QAAQ;AAAA,QAClD,KAAK,MAAM,KAAK,IAAK,MAAM,MAAM,MAAM,GAAI,YAAY,GAAG,IAAI,YAAY,MAAM,KAAK,IAAI,GAAG,YAAY,GAAG,IAAI,QAAQ;AAAA,QACvH,KAAK,MAAM,KAAK,IAAK,MAAM,MAAM,MAAM,GAAI,YAAY,GAAG,IAAI,YAAY,MAAM,KAAK,IAAI,GAAG,YAAY,GAAG,IAAI,QAAQ;AAAA,UACrH,CAAC,GAAG,GAAG,GAAG;AACd,eAAS;AAAA,QACN,YAAY,GAAG,IAAI,QAAQ,KAAO,OAAM,MAAM,MAAM;AAAA,QACpD,YAAY,GAAG,IAAI,QAAQ,KAAO,OAAM,MAAM,MAAM;AAAA,QACpD,aAAY,GAAG,IAAI,YAAY,KAAK,YAAY,GAAG,IAAI,QAAQ,MAAO,OAAM,MAAM,MAAM;AAAA,QACxF,aAAY,GAAG,IAAI,YAAY,KAAK,YAAY,GAAG,IAAI,QAAQ,MAAO,OAAM,MAAM,MAAM;AAAA;AAAA;AAG7F,UAAM,YAAY,AAAW,QAAQ;AACrC,UAAM,KAAK;AAAA,MACT,IAAI;AAAA,MACJ,OAAO,KAAK,MAAM,MAAM,YAAY,GAAG,cAAc;AAAA,MACrD,UAAU,KAAK,MAAM,MAAM,YAAY,GAAG,iBAAiB;AAAA,MAC3D,aAAa,KAAK,MAAM,MAAM,YAAY,GAAG,oBAAoB;AAAA,MACjE,OAAO;AAAA,MACP;AAAA,MACA;AAAA,MACA;AAAA,MACA,aAAa;AAAA,MACb;AAAA;AAAA;AAGJ,SAAO;AAAA;AAGT,sBAA2B,SAAiE;AAtF5F;AAuFE,MAAI,IAAI,SAAS;AACf,wBAAoB;AACpB,oBAAgB;AAAA;AAElB,MAAI,CAAC,qBAAqB,CAAC,eAAe;AACxC,KAAC,mBAAmB,iBAAiB,MAAM,QAAQ,IAAI;AAAA,MACrD,QAAO,KAAK,UAAU,AAAG,gCAAe,KAAK,QAAO,eAAe,eAAO,KAAK,aAAZ,mBAAsB,cAAa,KAAK,EAAE,WAAY,gBAAO,KAAK,aAAZ,mBAAsB,cAAa,IAAI,SAAS,kBAA2C;AAAA,MACpN,QAAO,KAAK,YAAY,AAAG,gCAAe,KAAK,QAAO,eAAe,eAAO,KAAK,aAAZ,mBAAsB,cAAa,KAAK,EAAE,WAAY,gBAAO,KAAK,aAAZ,mBAAsB,cAAa,IAAI,SAAS,kBAA2C;AAAA;AAExN,QAAI,QAAO,KAAK,SAAS;AACvB,UAAI,CAAC,qBAAqB,CAAC,kBAAkB;AAAa,YAAI,sBAAsB,eAAO,KAAK,aAAZ,mBAAsB,cAAa;AAAA,eAC9G,QAAO;AAAO,YAAI,eAAe,kBAAkB;AAC5D,UAAI,CAAC,iBAAiB,CAAC,cAAc;AAAa,YAAI,sBAAsB,eAAO,KAAK,aAAZ,mBAAsB,cAAa;AAAA,eACtG,QAAO;AAAO,YAAI,eAAe,cAAc;AAAA;AAAA,SAErD;AACL,QAAI,QAAO;AAAO,UAAI,iBAAiB,kBAAkB;AACzD,QAAI,QAAO;AAAO,UAAI,iBAAiB,cAAc;AAAA;AAEvD,QAAM,eAAe,IAAiB,aAAa;AACnD,iBAAe,IAAiB,aAAa,cAAc;AAC3D,SAAO,CAAC,mBAAmB;AAAA;;;AC1GtB,cAAc,WAAyB,cAA+B,CAAC,GAAG,IAAI;AACnF,QAAM,UAAS,CAAC,UAAU,IAAI,CAAC,OAAO,GAAG,KAAK,UAAU,IAAI,CAAC,OAAO,GAAG;AACvE,QAAM,OAAM,CAAC,KAAK,IAAI,GAAG,QAAO,KAAK,KAAK,IAAI,GAAG,QAAO;AACxD,QAAM,OAAM,CAAC,KAAK,IAAI,GAAG,QAAO,KAAK,KAAK,IAAI,GAAG,QAAO;AACxD,QAAM,OAAW,CAAC,KAAI,IAAI,KAAI,IAAI,KAAI,KAAK,KAAI,IAAI,KAAI,KAAK,KAAI;AAChE,QAAM,SAAc,CAAC,KAAI,KAAK,YAAW,IAAI,KAAI,KAAK,YAAW,IAAI,KAAI,KAAK,YAAW,IAAI,KAAI,KAAK,YAAW;AACjH,SAAO,EAAE,WAAK;AAAA;AAGT,gBAAgB,WAAyB,cAA+B,CAAC,GAAG,IAAI;AACrF,QAAM,UAAS,CAAC,UAAU,IAAI,CAAC,OAAO,GAAG,KAAK,UAAU,IAAI,CAAC,OAAO,GAAG;AACvE,QAAM,OAAM,CAAC,KAAK,IAAI,GAAG,QAAO,KAAK,KAAK,IAAI,GAAG,QAAO;AACxD,QAAM,OAAM,CAAC,KAAK,IAAI,GAAG,QAAO,KAAK,KAAK,IAAI,GAAG,QAAO;AACxD,QAAM,SAAS,CAAE,MAAI,KAAK,KAAI,MAAM,GAAI,MAAI,KAAK,KAAI,MAAM;AAC3D,QAAM,OAAO,KAAK,IAAI,OAAO,KAAK,KAAI,IAAI,OAAO,KAAK,KAAI,IAAI,CAAC,OAAO,KAAK,KAAI,IAAI,CAAC,OAAO,KAAK,KAAI;AACpG,QAAM,OAAW,CAAC,KAAK,MAAM,OAAO,KAAK,OAAO,KAAK,MAAM,OAAO,KAAK,OAAO,KAAK,MAAM,IAAI,OAAO,KAAK,MAAM,IAAI;AACnH,QAAM,SAAc,CAAC,KAAI,KAAK,YAAW,IAAI,KAAI,KAAK,YAAW,IAAI,KAAI,KAAK,YAAW,IAAI,KAAI,KAAK,YAAW;AACjH,SAAO,EAAE,WAAK;AAAA;AAGT,eAAe,MAAU,WAAmB;AACjD,QAAM,OAAO,CAAC,KAAI,KAAK,WAAW,KAAI,KAAK;AAC3C,QAAM,SAAc;AAAA,IAClB,KAAI,KAAM,MAAK,KAAK,KAAI,MAAM;AAAA,IAC9B,KAAI,KAAM,MAAK,KAAK,KAAI,MAAM;AAAA,IAC9B,KAAK;AAAA,IACL,KAAK;AAAA;AAEP,SAAO;AAAA;AAGF,cAAc,MAAU;AAC7B,QAAM,QAAa,CAAC,KAAK,IAAI,GAAG,KAAI,KAAK,KAAK,IAAI,GAAG,KAAI,KAAK,KAAK,IAAI,GAAG,KAAI,KAAK,KAAI,KAAK,KAAK,IAAI,GAAG,KAAI,KAAK,KAAI;AACrH,SAAO;AAAA;;;ACjBT,IAAM,UAAiD,CAAC,MAAM;AAC9D,IAAM,mBAAmB,CAAC,+CAA+C;AAEzE,IAAM,aAAY,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG;AAE/B,IAAM,UAAU,CAAC,QAAQ,QAAQ,SAAS,SAAS,QAAQ,OAAO;AAClE,IAAM,YAAY;AAElB,IAAM,gBAAgB;AACtB,IAAM,wBAAwB;AAC9B,IAAM,qBAAqB;AAE3B,IAAI,WAAU,OAAO;AACrB,IAAI,YAAW;AACf,IAAI,aAA+B,CAAC,GAAG;AAWvC,IAAM,SAGF;AAAA,EACF,OAAO;AAAA,EACP,OAAO;AAAA;AAGT,IAAM,YAAY;AAAA,EAChB,OAAO,CAAC,GAAG,GAAG,GAAG;AAAA,EACjB,OAAO,CAAC,GAAG,GAAG,GAAG;AAAA,EACjB,QAAQ,CAAC,GAAG,IAAI,IAAI;AAAA,EACpB,MAAM,CAAC,IAAI,IAAI,IAAI;AAAA,EACnB,OAAO,CAAC,IAAI,IAAI,IAAI;AAAA,EACpB,MAAM,CAAC;AAAA;AAGT,2BAAiC,SAAqC;AA5DtE;AA8DE,MAAI,IAAI;AAAS,YAAO,KAAK;AAC7B,MAAI,CAAC,QAAO,IAAI;AAGd,YAAQ,CAAC,qBAAqB,SAAS,wBAAwB,SAAS,YAAY,UAAU,QAAQ,mBAAmB,iBAAiB,qBAAqB,qBAAqB,cAAc,SAAS,SAAS,UAAU;AAC9N,YAAO,KAAK,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,eAAO,KAAK,aAAZ,mBAAsB,cAAa;AAClG,UAAM,SAAS,OAAO,OAAO,QAAO,GAAG,eAAe;AACtD,eAAU,GAAG,KAAK,MAAM,QAAQ,UAAU,SAAS,OAAO,GAAG,YAAY,IAAI,GAAG,QAAQ;AACxF,eAAU,GAAG,KAAK,MAAM,QAAQ,UAAU,SAAS,OAAO,GAAG,YAAY,IAAI,GAAG,QAAQ;AACxF,QAAI,CAAC,QAAO,MAAM,CAAC,QAAO,GAAG;AAAa,UAAI,sBAAsB,cAAO,KAAK,aAAZ,mBAAsB;AAAA,aACjF,QAAO;AAAO,UAAI,eAAe,QAAO,GAAG;AAAA,aAC3C,QAAO;AAAO,QAAI,iBAAiB,QAAO,GAAG;AACxD,SAAO,QAAO;AAAA;AAGhB,4BAAmC,SAAqC;AA7ExE;AA8EE,MAAI,IAAI;AAAS,YAAO,KAAK;AAC7B,MAAI,CAAC,QAAO,IAAI;AACd,YAAO,KAAK,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,eAAO,KAAK,aAAZ,mBAAsB,cAAa;AAClG,UAAM,SAAS,OAAO,OAAO,QAAO,GAAG,eAAe;AACtD,eAAU,GAAG,KAAK,MAAM,QAAQ,UAAU,SAAS,OAAO,GAAG,YAAY,IAAI,GAAG,QAAQ;AACxF,eAAU,GAAG,KAAK,MAAM,QAAQ,UAAU,SAAS,OAAO,GAAG,YAAY,IAAI,GAAG,QAAQ;AACxF,QAAI,CAAC,QAAO,MAAM,CAAC,QAAO,GAAG;AAAa,UAAI,sBAAsB,cAAO,KAAK,aAAZ,mBAAsB;AAAA,aACjF,QAAO;AAAO,UAAI,eAAe,QAAO,GAAG;AAAA,aAC3C,QAAO;AAAO,QAAI,iBAAiB,QAAO,GAAG;AACxD,SAAO,QAAO;AAAA;AAShB,2BAA2B,OAAe,SAA6C;AACrF,QAAM,QAA4B;AAClC,MAAI,CAAC,SAAS,CAAC,QAAO;AAAI,WAAO;AACjC,QAAM,IAA4B;AAClC,QAAM,QAAS,OAAM,MAAM,MAAM,KAAM,OAAM,MAAM,MAAM;AACzD,QAAM,SAAS,KAAK,IAAI,KAAK,MAAO,OAAM,MAAM,MAAM,KAAK,KAAK,GAAG;AACnE,QAAM,QAAQ,KAAK,MAAM,SAAS,QAAQ,KAAK;AAC/C,IAAE,SAAS,AAAG,uBAAM,eAAe,OAAO,CAAC,QAAQ;AACnD,IAAE,OAAO,AAAG,sBAAK,EAAE,QAAQ;AAC3B,GAAC,EAAE,WAAW,EAAE,YAAY,MAAM,QAAO,GAAG,aAAa,EAAE,MAAM;AACjE,IAAE,QAAQ,AAAG,yBAAQ,EAAE,UAAU,CAAC,GAAG;AACrC,IAAE,SAAS,AAAG,yBAAQ,EAAE,WAAW,CAAC;AACpC,QAAM,cAA6B,AAAG,yBAAQ,EAAE,QAAQ;AACxD,EAAG,yBAAQ,YAAY;AACvB,cAAY,OAAO,WAAW;AAC9B,IAAE,WAAW,AAAG,uBAAM,aAAa;AACnC,EAAG,yBAAQ;AACX,IAAE,MAAM,AAAG,qBAAI,EAAE,UAAU;AAC3B,IAAE,SAAS,AAAG,wBAAO,EAAE,UAAU;AACjC,MAAI,KAAK;AACT,IAAE,MAAM,MAAM,AAAG,uBAAM,uBAAuB,EAAE,OAAO,EAAE,KAAK,QAAO,KAAK,aAAa,QAAO,KAAK,cAAc,QAAO,KAAK;AAC7H,QAAM,MAAM,MAAM,EAAE,IAAI;AACxB,QAAM,SAAS,MAAM,EAAE,IAAI;AAC3B,QAAM,WAAW,MAAM,EAAE,OAAO;AAChC,aAAW,YAAY,MAAM,KAAK,MAAM;AACtC,UAAM,WAAW,AAAG,uBAAM,EAAE,OAAO,UAAU;AAC7C,UAAM,QAAQ,MAAM,SAAS;AAC7B,IAAG,yBAAQ;AAEX,UAAM,UAAe,CAAC,MAAM,IAAI,MAAM,IAAI,MAAM,KAAK,MAAM,IAAI,MAAM,KAAK,MAAM;AAChF,UAAM,SAAc,AAAI,MAAM,SAAS;AACvC,UAAM,UAAe,AAAI,KAAK;AAC9B,UAAM,UAAe,CAAC,KAAK,MAAM,QAAQ,KAAK,WAAW,KAAK,KAAK,MAAM,QAAQ,KAAK,WAAW,KAAK,KAAK,MAAM,QAAQ,KAAK,WAAW,KAAK,KAAK,MAAM,QAAQ,KAAK,WAAW;AACjL,UAAM,QAAQ,OAAO;AACrB,UAAM,QAAQ,QAAQ,SAAS;AAC/B,UAAM,QAAyB,EAAE,IAAI,MAAM,OAAO,KAAK,SAAS,QAAQ,SAAS;AACjF,UAAM,KAAK;AAAA;AAEb,SAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAChD,QAAM,KAAK,CAAC,GAAG,MAAM,EAAE,QAAQ,EAAE;AACjC,MAAI,MAAM,SAAU,SAAO,KAAK,eAAe;AAAI,UAAM,SAAU,QAAO,KAAK,eAAe;AAC9F,SAAO;AAAA;AAGT,6BAA6B,OAAe,GAAqB,SAAqC;AACpG,QAAM,QAAmB;AAAA,IACvB,IAAI,EAAE;AAAA,IACN,OAAO,KAAK,MAAM,MAAM,EAAE,SAAS;AAAA,IACnC,UAAU,KAAK,MAAM,MAAM,EAAE,SAAS;AAAA,IACtC,aAAa;AAAA,IACb,KAAK,EAAE;AAAA,IACP,QAAQ,EAAE;AAAA,IACV,OAAO,EAAE;AAAA,IACT,WAAW;AAAA,IACX,WAAW;AAAA,IACX,aAAa;AAAA;AAEf,MAAI,SAAS,QAAO,MAAM,QAAO,KAAK,aAAa,EAAE,QAAS,SAAO,KAAK,iBAAiB,IAAI;AAC7F,UAAM,IAA4B;AAClC,MAAE,OAAO,AAAG,uBAAM,cAAc,OAAO,CAAC,EAAE,UAAU,CAAC,IAAI,CAAC,WAAU,GAAG,IAAI,WAAU,GAAG,KAAK;AAC7F,MAAE,OAAO,AAAG,sBAAK,EAAE,MAAM;AACzB,MAAE,MAAM,AAAG,qBAAI,EAAE,MAAM;AACvB,KAAC,EAAE,OAAO,EAAE,aAAa,QAAO,GAAG,QAAQ,EAAE,KAAK,CAAC,cAAc;AACjE,UAAM,WAAY,OAAM,EAAE,MAAM,QAAQ;AACxC,UAAM,QAAS,OAAM,KAAK,MAAM,MAAO,KAAI,KAAK,IAAI,eAAe;AACnE,QAAI,SAAU,SAAO,KAAK,iBAAiB,IAAI;AAC7C,YAAK,cAAc;AACnB,QAAE,WAAW,AAAG,yBAAQ,EAAE,WAAW,CAAC,IAAI;AAC1C,YAAM,aAAsB,MAAM,EAAE,SAAS;AAC7C,YAAM,YAAqB,WAAW,IAAI,CAAC,SAAQ,CAAC,KAAI,KAAK,WAAU,GAAG,IAAI,KAAI,KAAK,WAAU,GAAG,IAAK,KAAI,MAAM;AACnH,YAAM,aAAsB,UAAU,IAAI,CAAC,SAAQ,CAAC,KAAI,KAAK,EAAE,OAAO,IAAI,KAAI,KAAK,EAAE,OAAO,IAAK,KAAI,MAAM;AAC3G,YAAK,YAAa,WAAY,IAAI,CAAC,SAAQ;AAAA,QACzC,WAAW,KAAM,MAAI,KAAK,EAAE,OAAO;AAAA,QACnC,WAAW,KAAM,MAAI,KAAK,EAAE,OAAO;AAAA,QAClC,KAAI,MAAM;AAAA;AAEb,YAAK,YAAY,AAAW,QAAQ,MAAK;AACzC,iBAAW,OAAO,OAAO,KAAK,YAAY;AACxC,cAAK,YAAY,OAAO,UAAU,KAAK,IAAI,CAAC,WAAW,MAAK,aAAa,MAAK,UAAU,UAAS,MAAK,UAAU,UAAS;AAAA;AAAA;AAG7H,WAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAAA;AAElD,SAAO;AAAA;AAGT,wBAA8B,OAAe,SAAuC;AAtLpF;AAuLE,MAAI,CAAC,QAAO,MAAM,CAAC,QAAO,MAAM,CAAC,eAAO,OAAP,mBAAW,OAAO,GAAG,UAAS,CAAC,eAAO,OAAP,mBAAW,OAAO,GAAG;AAAO,WAAO;AACnG,eAAa,CAAC,MAAM,MAAM,MAAM,GAAG,MAAM,MAAM,MAAM;AACrD;AACA,QAAM,WAAY,SAAO,KAAK,YAAY,KAAM,QAAQ;AACxD,QAAM,YAAY,WAAW,SAAO,KAAK,cAAc;AACvD,MAAI,QAAO,eAAe,YAAY,WAAW;AAC/C,WAAO,OAAM;AAAA;AAEf,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAM,mBAAmB,IAAK,SAAO,KAAK,YAAY,KAAM,QAAQ;AACpE,UAAM,oBAAoB,WAAU,IAAK,SAAO,KAAK,cAAc;AACnE,QAAI,QAAO,eAAe,OAAM,MAAM,WAAW,QAAO,KAAK,aAAa;AACxE,aAAM,QAAQ,MAAM,QAAQ,IAAI,OAAM,MAAM,IAAI,CAAC,YAAY,cAAc,OAAO,SAAS;AAAA,eAClF,QAAO,eAAe,oBAAoB,qBAAqB,OAAM,MAAM,SAAS,GAAG;AAChG,aAAM,QAAQ,MAAM,QAAQ,IAAI,OAAM,MAAM,IAAI,CAAC,YAAY,cAAc,OAAO,SAAS;AAAA,WACtF;AACL,aAAM,QAAQ,MAAM,YAAY,OAAO;AACvC,kBAAW;AACX,aAAM,QAAQ,MAAM,QAAQ,IAAI,OAAM,MAAM,IAAI,CAAC,YAAY,cAAc,OAAO,SAAS;AAC3F,iBAAU;AAAA;AAGZ,UAAM,WAAW,CAAC,GAAG,OAAM;AAC3B,WAAM,MAAM,SAAS;AACrB,QAAI,QAAO,mBAAmB,GAAG;AAC/B,eAAS,IAAI,GAAG,IAAI,OAAM,MAAM,QAAQ,KAAK;AAC3C,cAAM,SAAS,AAAI,OAAO,OAAM,MAAM,GAAG,WAAW;AACpD,YAAI,OAAO,IAAI,KAAM,OAAM,MAAM,MAAM,KAAK,QAAQ,OAAO,IAAI,KAAM,OAAM,MAAM,MAAM,KAAK,QAAQ,OAAM,MAAM,GAAG,eAAe,OAAM,MAAM,GAAG,cAAe,SAAO,KAAK,iBAAiB,IAAI;AAC/L,gBAAM,WAAW,AAAI,MAAM,OAAO,KAAK;AACvC,gBAAM,cAAc,AAAI,MAAM,OAAO,QAAQ;AAC7C,gBAAM,UAAU,AAAI,KAAK;AACzB,iBAAM,MAAM,KAAK,KAAK,SAAS,IAAI,KAAK,UAAU,QAAQ,aAAa;AAAA;AAAA;AAAA;AAI7E,aAAS,IAAI,GAAG,IAAI,OAAM,MAAM,QAAQ,KAAK;AAC3C,YAAM,OAAO,AAAI,KAAK,OAAM,MAAM,GAAG,WAAW;AAChD,aAAM,MAAM,GAAG,MAAM,KAAK;AAC1B,aAAM,MAAM,GAAG,SAAS,KAAK;AAAA;AAE/B,YAAQ,OAAM;AAAA;AAAA;;;ACrNlB,IAAI;AACJ,IAAM,UAAwB;AAC9B,IAAI,YAAU,OAAO;AACrB,IAAI,aAAY;AAChB,IAAI,aAAW;AAEf,sBAA2B,SAAqC;AAhBhE;AAiBE,MAAI,IAAI;AAAS,cAAQ;AACzB,MAAI,CAAC,SAAO;AACV,cAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,eAAO,KAAK,aAAZ,mBAAsB,cAAa;AAC9F,QAAI,CAAC,WAAS,CAAC,QAAM;AAAa,UAAI,sBAAsB,cAAO,KAAK,aAAZ,mBAAsB;AAAA,aACzE,QAAO;AAAO,UAAI,eAAe,QAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,QAAM;AACpD,SAAO;AAAA;AAGT,yBAA8B,SAAe,SAAgB,KAAK,QAAO;AA1BzE;AA2BE,MAAI,CAAC;AAAO,WAAO;AACnB,QAAM,WAAY,gBAAO,KAAK,aAAZ,mBAAsB,aAAY,KAAM,QAAQ;AAClE,QAAM,YAAY,YAAW,gBAAO,KAAK,aAAZ,mBAAsB,eAAc;AACjE,MAAI,QAAO,eAAe,YAAY,aAAc,eAAc,UAAU,QAAO,MAAM;AACvF;AACA,WAAO,QAAO;AAAA;AAEhB,cAAU;AACV,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAM,SAAS,AAAG,uBAAM,eAAe,SAAO,CAAC,oCAAO,OAAO,GAAG,SAAQ,QAAM,OAAO,GAAG,MAAM,KAAK,GAAG,oCAAO,OAAO,GAAG,SAAQ,QAAM,OAAO,GAAG,MAAM,KAAK,IAAI;AAC9J,UAAM,MAAM,mCAAO,QAAQ;AAC3B,UAAM,MAAO,OAAM,IAAI,QAAQ;AAC/B,YAAO,OAAO,KAAK,MAAM,MAAM,OAAO;AACtC,iBAAY;AACZ,iBAAW;AACX,IAAG,yBAAQ,CAAC,QAAQ;AACpB,YAAQ,QAAO;AAAA;AAAA;;;AC3CnB;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAA;AAAO,IAAM,OAAqB;AAAA,EAChC;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;AAAA;AAGK,IAAM,aAA8B;AAAA,EACzC,CAAC,WAAW;AAAA,EACZ,CAAC,WAAW;AAAA,EACZ,CAAC,gBAAgB;AAAA,EACjB,CAAC,aAAa;AAAA,EACd,CAAC,aAAa;AAAA,EACd,CAAC,WAAW;AAAA,EACZ,CAAC,YAAY;AAAA,EACb,CAAC,aAAa;AAAA;AAGT,IAAM,WAA4B;AAAA,EACvC,CAAC,YAAY;AAAA,EACb,CAAC,aAAa;AAAA,EACd,CAAC,aAAa;AAAA,EACd,CAAC,cAAc;AAAA;AAGV,IAAM,WAA8B;AAAA,EACzC,CAAC,CAAC,WAAW,aAAa,CAAC,gBAAgB;AAAA,EAC3C,CAAC,CAAC,aAAa,eAAe,CAAC,gBAAgB;AAAA;AAG1C,IAAM,aAAsC;AAAA,EACjD,SAAS,CAAC,WAAW,YAAY;AAAA,EACjC,UAAU,CAAC,YAAY,aAAa;AAAA,EACpC,OAAO,CAAC,gBAAgB,iBAAiB,YAAY,WAAW;AAAA,EAChE,SAAS,CAAC,gBAAgB,aAAa;AAAA,EACvC,UAAU,CAAC,iBAAiB,cAAc;AAAA,EAC1C,MAAM;AAAA;;;AC3CR,IAAM,YAAY;AAElB,IAAM,SAGF;AAAA,EACF,WAAW;AAAA,EACX,SAAS,CAAC,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG,IAAI,CAAC,GAAG;AAAA;AAGjC,mBAAmB,OAAkB;AAC1C,aAAW,QAAe,YAAY;AACpC,UAAM,OAAO,MAAK,UAAU,UAAU,CAAC,OAAO,GAAG,SAAS,KAAK;AAC/D,UAAM,QAAQ,MAAK,UAAU,UAAU,CAAC,OAAO,GAAG,SAAS,KAAK;AAChE,QAAI,MAAK,UAAU,SAAS,MAAK,UAAU,QAAQ;AACjD,UAAI,MAAK,UAAU,MAAM,SAAS,KAAK,MAAK,UAAU,OAAO,SAAS,IAAI;AACxE,cAAM,MAAM,MAAK,UAAU;AAC3B,cAAK,UAAU,QAAQ,MAAK,UAAU;AACtC,cAAK,UAAU,SAAS;AAAA;AAAA;AAAA;AAI9B,aAAW,QAAe,UAAU;AAClC,UAAM,QAAQ,MAAK,UAAU,UAAU,CAAC,OAAQ,MAAM,GAAG,SAAS,KAAK;AACvE,UAAM,SAAS,MAAK,UAAU,UAAU,CAAC,OAAQ,MAAM,GAAG,SAAS,KAAK;AACxE,QAAI,MAAK,UAAU,UAAU,MAAK,UAAU,SAAS;AACnD,UAAI,MAAK,UAAU,OAAO,SAAS,KAAK,MAAK,UAAU,QAAQ,SAAS,IAAI;AAC1E,cAAK,UAAU,OAAO,OAAO;AAAA;AAAA;AAAA;AAInC,aAAW,CAAC,MAAM,aAAmB,UAAU;AAC7C,UAAM,OAAO,MAAK,UAAU,UAAU,CAAC,OAAQ,MAAM,GAAG,SAAS,KAAK;AACtE,UAAM,QAAQ,MAAK,UAAU,UAAU,CAAC,OAAQ,MAAM,GAAG,SAAS,KAAK;AACvE,UAAM,SAAS,MAAK,UAAU,UAAU,CAAC,OAAQ,MAAM,GAAG,SAAS,SAAQ;AAC3E,UAAM,UAAU,MAAK,UAAU,UAAU,CAAC,OAAQ,MAAM,GAAG,SAAS,SAAQ;AAC5E,QAAI,CAAC,MAAK,UAAU,WAAW,CAAC,MAAK,UAAU;AAAU;AACzD,UAAM,eAAe,MAAK,UAAU,QAAQ;AAAA,MAC1C,KAAK,IAAI,MAAK,UAAU,QAAQ,SAAS,KAAK,MAAK,UAAU,MAAM,SAAS;AAAA,MAC5E,KAAK,IAAI,MAAK,UAAU,SAAS,SAAS,KAAK,MAAK,UAAU,MAAM,SAAS;AAAA,QAC3E,CAAC,GAAG;AACR,UAAM,gBAAgB,MAAK,UAAU,SAAS;AAAA,MAC5C,KAAK,IAAI,MAAK,UAAU,SAAS,SAAS,KAAK,MAAK,UAAU,OAAO,SAAS;AAAA,MAC9E,KAAK,IAAI,MAAK,UAAU,QAAQ,SAAS,KAAK,MAAK,UAAU,OAAO,SAAS;AAAA,QAC3E,CAAC,GAAG;AACR,QAAI,aAAa,KAAK,aAAa,MAAM,cAAc,KAAK,cAAc,IAAI;AAC5E,YAAM,MAAM,MAAK,UAAU;AAC3B,YAAK,UAAU,QAAQ,MAAK,UAAU;AACtC,YAAK,UAAU,SAAS;AAAA;AAAA;AAAA;AAKvB,gBAAgB,WAAqD;AAC1E,WAAS,IAAI,GAAG,IAAI,UAAU,QAAQ,KAAK;AACzC,QAAI,UAAU,MAAM,OAAM,UAAU,IAAI;AACtC,YAAM,OAAO,CAAC,KAAK,IAAI,UAAU,GAAG,YAAY,KAAK,OAAM,UAAU,GAAG,YAAY,KAAK,KAAK,IAAI,UAAU,GAAG,YAAY,KAAK,OAAM,UAAU,GAAG,YAAY;AAC/J,UAAI,KAAK,KAAK,aAAa,KAAK,KAAK,WAAW;AAC9C,kBAAU,KAAK,OAAM,UAAU;AAAA,aAC1B;AACL,eAAM,UAAU,KAAK,UAAU;AAAA;AAAA,WAE5B;AACL,aAAM,UAAU,KAAK,UAAU;AAAA;AAAA;AAGnC,SAAO;AAAA;AAGF,kBAAkB,OAAe,YAA2B;AACjE,QAAM,IAA4B;AAClC,MAAI,CAAC,MAAM,SAAS,CAAC,MAAM,MAAM,MAAM,CAAC,MAAM,MAAM;AAAI,WAAO;AAC/D,SAAM,UAAU;AAAA,IACd,CAAC,GAAG;AAAA,IACJ,CAAC,MAAM,MAAM,KAAK,MAAM,MAAM,KAAK,KAAK,MAAO,OAAM,MAAM,KAAK,MAAM,MAAM,MAAM,KAAK,GAAG,MAAM,MAAM,KAAK,MAAM,MAAM,KAAK,KAAK,MAAO,OAAM,MAAM,KAAK,MAAM,MAAM,MAAM,KAAK;AAAA,IAChL,CAAC,MAAM,MAAM,KAAK,MAAM,MAAM,KAAK,KAAK,MAAO,OAAM,MAAM,KAAK,MAAM,MAAM,MAAM,KAAK,GAAG,MAAM,MAAM,KAAK,MAAM,MAAM,KAAK,KAAK,MAAO,OAAM,MAAM,KAAK,MAAM,MAAM,MAAM,KAAK;AAAA,IAChL,CAAC,GAAG;AAAA;AAEN,IAAE,MAAM,AAAG,qBAAI,OAAO,OAAM;AAC5B,IAAE,SAAS,AAAG,uBAAM,eAAe,EAAE,KAAK,CAAC,YAAW;AACtD,QAAM,QAAQ,AAAG,sBAAK,EAAE,QAAQ;AAChC,SAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAChD,SAAO;AAAA;AAGF,qBAAqB,OAAkB,aAA0C;AACtF,QAAK,YAAY,MAAK,UAAU,OAAO,CAAC,SAAQ,QAAO,KAAI;AAC3D,aAAW,QAAO,MAAK,WAAW;AAChC,SAAI,WAAW;AAAA,MACb,KAAI,SAAS,KAAM,aAAW,KAAK,OAAM,QAAQ,GAAG,KAAK,OAAM,QAAQ,GAAG,MAAM,YAAW,KAAK,OAAM,QAAQ,GAAG;AAAA,MACjH,KAAI,SAAS,KAAM,aAAW,KAAK,OAAM,QAAQ,GAAG,KAAK,OAAM,QAAQ,GAAG,MAAM,YAAW,KAAK,OAAM,QAAQ,GAAG;AAAA;AAEnH,SAAI,cAAc;AAAA,MAChB,KAAI,SAAS,KAAK,YAAW;AAAA,MAAI,KAAI,SAAS,KAAK,YAAW;AAAA;AAAA;AAGlE,QAAM,gBAAgB,AAAI,KAAK,MAAK,UAAU,IAAI,CAAC,OAAO,GAAG,WAAW;AACxE,QAAK,MAAM,cAAc;AACzB,QAAK,SAAS,cAAc;AAC5B,SAAO;AAAA;;;ACxFT,IAAI;AACJ,IAAI,aAAY;AAChB,IAAI,YAAU,OAAO;AAGrB,IAAM,SAIF;AAAA,EACF,OAAO;AAAA,EACP,QAAQ;AAAA,EACR,MAAM;AAAA;AAGR,sBAA2B,SAAqC;AAC9D,MAAI,IAAI;AAAS,cAAQ;AACzB,MAAI,CAAC,SAAO;AACV,YAAQ,CAAC,SAAS;AAClB,cAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,QAAO,KAAK,aAAa;AACpF,QAAI,CAAC,WAAS,CAAC,QAAM;AAAa,UAAI,sBAAsB,QAAO,KAAK;AAAA,aAC/D,QAAO;AAAO,UAAI,eAAe,QAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,QAAM;AACpD,eAAY,QAAM,OAAO,GAAG,QAAQ,QAAM,OAAO,GAAG,MAAM,KAAK;AAC/D,MAAI,eAAc;AAAI,iBAAY;AAClC,SAAO;AAAA;AAGT,+BAA+B,KAAK,SAAQ,SAAO,UAAU;AAC3D,QAAM,OAAM,IAAI,GAAG;AACnB,QAAM,YAAiC;AACvC,MAAI,QAAQ;AACZ,WAAS,KAAK,GAAG,KAAK,KAAI,QAAQ,MAAM;AACtC,YAAQ,KAAI,IAAI;AAChB,QAAI,QAAQ,QAAO,KAAK,eAAe;AACrC,YAAM,cAAqB;AAAA,QACxB,UAAS,KAAK,SAAS,MAAM,KAAI,IAAI,KAAK,SAAS;AAAA,QACnD,UAAS,KAAK,SAAS,MAAM,KAAI,IAAI,KAAK,SAAS;AAAA;AAEtD,gBAAU,KAAK;AAAA,QACb,OAAO,KAAK,MAAM,MAAM,SAAS;AAAA,QACjC,MAAM,AAAO,KAAI;AAAA,QACjB;AAAA,QACA,UAAU;AAAA,UACR,KAAK,MAAO,SAAM,MAAM,MAAM,KAAK,YAAY;AAAA,UAC/C,KAAK,MAAO,SAAM,MAAM,MAAM,KAAK,YAAY;AAAA;AAAA;AAAA;AAAA;AAKvD,UAAQ,UAAU,OAAO,CAAC,MAAM,SAAU,KAAK,QAAQ,OAAO,KAAK,QAAQ,MAAO;AAClF,QAAM,SAA4B;AAClC,QAAM,SAAS,AAAI,KAAK,UAAU,IAAI,CAAC,OAAO,GAAG,WAAW,CAAC,QAAM,MAAM,IAAI,QAAM,MAAM;AACzF,QAAM,eAAyC;AAC/C,aAAW,CAAC,MAAM,YAAY,OAAO,QAAe,aAAY;AAC9D,UAAM,KAAqB;AAC3B,aAAS,IAAI,GAAG,IAAI,QAAQ,SAAS,GAAG,KAAK;AAC3C,YAAM,MAAM,UAAU,KAAK,CAAC,OAAO,GAAG,SAAS,QAAQ;AACvD,YAAM,MAAM,UAAU,KAAK,CAAC,OAAO,GAAG,SAAS,QAAQ,IAAI;AAC3D,UAAI,OAAO,OAAO,IAAI,QAAS,SAAO,KAAK,iBAAiB,MAAM,IAAI,QAAS,SAAO,KAAK,iBAAiB;AAAI,WAAG,KAAK,CAAC,IAAI,UAAU,IAAI;AAAA;AAE7I,iBAAY,QAAQ;AAAA;AAEtB,QAAM,QAAmB,EAAE,IAAI,GAAG,OAAO,KAAK,OAAO,KAAK,QAAQ,OAAO,QAAQ,WAAW;AAC5F,EAAI,UAAU;AACd,SAAO,KAAK;AACZ,SAAO;AAAA;AAGT,8BAA8B,KAAK,SAAQ,SAAO,UAAU;AAC1D,QAAM,SAA4B;AAClC,WAAS,KAAK,GAAG,KAAK,IAAI,GAAG,QAAQ,MAAM;AACzC,UAAM,OAAM,IAAI,GAAG;AACnB,UAAM,aAAa,KAAK,MAAM,MAAM,KAAI,KAAK,MAAM;AACnD,QAAI,aAAa,QAAO,KAAK,eAAe;AAC1C,YAAM,YAAiC;AACvC,eAAS,IAAI,GAAG,IAAI,IAAI,KAAK;AAC3B,cAAM,QAAQ,KAAI,IAAI,IAAI;AAC1B,YAAI,QAAQ,QAAO,KAAK,eAAe;AACrC,gBAAM,cAAqB;AAAA,YACxB,UAAS,KAAK,SAAS,MAAM,KAAI,IAAI,IAAI,KAAK,SAAS;AAAA,YACvD,UAAS,KAAK,SAAS,MAAM,KAAI,IAAI,IAAI,KAAK,SAAS;AAAA;AAE1D,oBAAU,KAAK;AAAA,YACb,MAAM,AAAO,KAAI;AAAA,YACjB,OAAO,KAAK,MAAM,MAAM,SAAS;AAAA,YACjC;AAAA,YACA,UAAU,CAAC,KAAK,MAAO,SAAM,MAAM,MAAM,KAAK,YAAY,KAAK,KAAK,MAAO,SAAM,MAAM,MAAM,KAAK,YAAY;AAAA;AAAA;AAAA;AAIpH,YAAM,SAAS,AAAI,KAAK,UAAU,IAAI,CAAC,OAAO,GAAG,WAAW,CAAC,QAAM,MAAM,IAAI,QAAM,MAAM;AAIzF,YAAM,eAAyC;AAC/C,iBAAW,CAAC,MAAM,YAAY,OAAO,QAAe,aAAY;AAC9D,cAAM,KAAqB;AAC3B,iBAAS,IAAI,GAAG,IAAI,QAAQ,SAAS,GAAG,KAAK;AAC3C,gBAAM,MAAM,UAAU,KAAK,CAAC,OAAO,GAAG,SAAS,QAAQ;AACvD,gBAAM,MAAM,UAAU,KAAK,CAAC,OAAO,GAAG,SAAS,QAAQ,IAAI;AAC3D,cAAI,OAAO,OAAO,IAAI,QAAS,SAAO,KAAK,iBAAiB,MAAM,IAAI,QAAS,SAAO,KAAK,iBAAiB;AAAI,eAAG,KAAK,CAAC,IAAI,UAAU,IAAI;AAAA;AAE7I,qBAAY,QAAQ;AAAA;AAEtB,YAAM,QAAmB,EAAE,IAAI,OAAO,YAAY,KAAK,OAAO,KAAK,QAAQ,OAAO,QAAQ,WAAW,CAAC,GAAG,YAAY;AACrH,MAAI,UAAU;AACd,aAAO,KAAK;AAAA;AAAA;AAGhB,SAAO,KAAK,CAAC,GAAG,MAAM,EAAE,QAAQ,EAAE;AAClC,MAAI,OAAO,SAAS,QAAO,KAAK;AAAa,WAAO,SAAS,QAAO,KAAK;AACzE,SAAO;AAAA;AAGT,yBAA8B,OAAe,SAAuC;AAClF,MAAI,CAAC,WAAS,CAAC,oCAAO,OAAO,GAAG;AAAO,WAAO;AAC9C,MAAI,CAAC,QAAO;AAAa,WAAM,MAAM,SAAS;AAC9C;AACA,QAAM,WAAY,SAAO,KAAK,YAAY,KAAM,QAAQ,OAAM;AAC9D,QAAM,YAAY,YAAW,SAAO,KAAK,cAAc;AACvD,MAAI,QAAO,eAAe,YAAY,WAAW;AAC/C,WAAO,OAAM;AAAA;AAEf,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAM,IAA4B;AAClC,gBAAU;AAmCV,MAAE,QAAQ,AAAI,SAAS,OAAO;AAC9B,MAAE,MAAM,mCAAO,QAAQ,EAAE;AACzB,WAAM,OAAO;AACb,UAAM,MAAM,MAAM,EAAE,IAAI;AACxB,WAAM,SAAU,EAAE,IAAI,MAAM,OAAO,KAC/B,MAAM,gBAAgB,KAAK,SAAQ,OAAO,CAAC,GAAG,GAAG,GAAG,MACpD,MAAM,eAAe,KAAK,SAAQ,OAAO,CAAC,GAAG,GAAG,GAAG;AACvD,eAAW,SAAQ,OAAM,QAAQ;AAC/B,MAAI,YAAY,OAAM,CAAC,MAAM,MAAM,MAAM,GAAG,MAAM,MAAM,MAAM;AAC9D,MAAI,OAAO,MAAK;AAAA;AAElB,WAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAEhD,YAAQ,OAAM;AAAA;AAAA;;;ACjLlB,IAAI;AACJ,IAAI,QAA4B;AAChC,IAAI,aAAW;AACf,IAAI,YAAU,OAAO;AAErB,IAAM,WAAW;AAEjB,sBAA2B,SAAqC;AAC9D,MAAI,CAAC,WAAS,IAAI,SAAS;AACzB,cAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,QAAO,OAAO,aAAa;AACtF,UAAM,SAAS,OAAO,OAAO,QAAM,eAAe;AAClD,YAAM,YAAY,MAAM,QAAQ,UAAU,SAAS,OAAO,GAAG,YAAY,IAAI,GAAG,QAAQ;AACxF,QAAI,CAAC,QAAM;AAAW,YAAM,IAAI,MAAM,qCAAqC,QAAO,OAAO;AACzF,QAAI,CAAC,WAAS,CAAC,QAAM;AAAU,UAAI,sBAAsB,QAAO,OAAO;AAAA,aAC9D,QAAO;AAAO,UAAI,eAAe,QAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,QAAM;AACpD,SAAO;AAAA;AAGT,wBAAuB,KAAK,YAAW,aAAa,SAAQ;AAC1D,MAAI,KAAK;AACT,MAAI,UAA+B;AACnC,aAAW,cAAc,CAAC,GAAG,GAAG,IAAI;AAElC,IAAG,sBAAK,YAAY;AAtCxB;AAuCM,YAAM,WAAW,aAAa;AAE9B,YAAM,UAAU,UAAI,KAAK,CAAC,MAAO,EAAE,MAAM,OAAQ,YAAY,KAAM,EAAE,MAAM,OAAO,OAAO,YAAzE,mBAAmF;AACnG,YAAM,YAAY,UAAI,KAAK,CAAC,MAAO,EAAE,MAAM,OAAQ,YAAY,KAAM,EAAE,MAAM,KAAK,OAAO,YAAvE,mBAAiF;AACnG,YAAM,WAAW,UAAU,QAAQ,CAAC,IAAI,GAAG,UAAU,MAAM,KAAK;AAChE,YAAM,SAAS,MAAM,SAAS,OAAO,GAAG;AACxC,YAAM,SAAS,MAAM,QAAQ;AAC7B,eAAS,IAAI,GAAG,IAAI,QAAQ,MAAM,IAAI,KAAK;AACzC,iBAAS,IAAI,GAAG,IAAI,QAAQ,MAAM,IAAI,KAAK;AACzC,gBAAM,QAAQ,OAAO,GAAG;AACxB,cAAI,QAAQ,QAAO,OAAO,iBAAiB,MAAM,IAAI;AACnD,kBAAM,KAAM,OAAM,KAAK,MAAM,IAAI,aAAa;AAC9C,kBAAM,KAAM,OAAM,KAAK,MAAM,IAAI,aAAa;AAC9C,kBAAM,YAAY,OAAO,GAAG,IAAI,CAAC,MAAM,IAAK,YAAW,aAAa;AACpE,kBAAM,CAAC,GAAG,KAAK;AAAA,cACb,KAAM,WAAW,aAAa,UAAU;AAAA,cACxC,KAAM,WAAW,aAAa,UAAU;AAAA;AAE1C,kBAAM,CAAC,GAAG,KAAK;AAAA,cACb,KAAM,WAAW,aAAa,UAAU,KAAM;AAAA,cAC9C,KAAM,WAAW,aAAa,UAAU,KAAM;AAAA;AAEhD,gBAAI,SAAc,CAAC,GAAG,GAAG,GAAG;AAC5B,qBAAS,OAAO,IAAI,CAAC,MAAM,KAAK,IAAI,GAAG,KAAK,IAAI,GAAG;AACnD,kBAAM,OAAM;AAAA,cACV,OAAO,KAAK,YAAY;AAAA,cACxB,OAAO,KAAK,YAAY;AAAA,cACxB,OAAO,KAAK,YAAY;AAAA,cACxB,OAAO,KAAK,YAAY;AAAA;AAE1B,kBAAM,SAAS;AAAA,cACb,IAAI;AAAA,cAEJ,OAAO,KAAK,MAAM,MAAM,SAAS;AAAA,cACjC,OAAO,IAAI;AAAA,cACX,OAAO,OAAO,GAAG;AAAA,cAGjB,KAAK,KAAI,IAAI,CAAC,MAAM,KAAK,MAAM;AAAA,cAC/B;AAAA;AAEF,oBAAQ,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAOvB,MAAI,QAAQ,CAAC,MAAM,AAAG,yBAAQ;AAI9B,QAAM,WAAW,QAAQ,IAAI,CAAC,MAAM,CAAC,EAAE,OAAO,IAAI,EAAE,OAAO,IAAI,EAAE,OAAO,IAAI,EAAE,OAAO;AACrF,QAAM,YAAY,QAAQ,IAAI,CAAC,MAAM,EAAE;AACvC,MAAI,SAAwB;AAC5B,MAAI,YAAY,SAAS,SAAS,GAAG;AACnC,UAAM,MAAM,MAAM,AAAG,uBAAM,uBAAuB,UAAU,WAAW,QAAO,OAAO,aAAa,QAAO,OAAO,cAAc,QAAO,OAAO;AAC5I,aAAS,MAAM,IAAI;AACnB,IAAG,yBAAQ;AAAA;AAIb,YAAU,QACP,OAAO,CAAC,MAAM,QAAQ,OAAO,SAAS,MACtC,KAAK,CAAC,GAAG,MAAO,EAAE,QAAQ,EAAE;AAE/B,SAAO;AAAA;AAGT,yBAA8B,SAAe,SAAyC;AACpF,QAAM,WAAY,SAAO,OAAO,YAAY,KAAM,QAAQ;AAC1D,QAAM,YAAY,YAAW,SAAO,OAAO,cAAc;AACzD,MAAI,QAAO,eAAe,YAAY,aAAc,MAAK,SAAS,GAAI;AACpE;AACA,WAAO;AAAA;AAET,cAAU;AACV,MAAI,CAAC,IAAI,QAAQ,SAAS,UAAU,CAAC,IAAI,QAAQ,SAAS;AAAkB,WAAO;AACnF,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,UAAM,cAAa,CAAC,QAAM,MAAM,IAAI,QAAM,MAAM;AAChD,UAAM,SAAS,AAAG,uBAAM,eAAe,SAAO,CAAC,QAAM,WAAW,QAAM,YAAY;AAClF,UAAM,OAAO,AAAG,qBAAI,QAAQ;AAC5B,UAAM,YAAY,KAAK,UAAU,CAAC,GAAG,GAAG,GAAG;AAC3C,IAAG,yBAAQ;AACX,IAAG,yBAAQ;AAEX,QAAI;AACJ,QAAI,QAAO,OAAO;AAAS,gBAAU,QAAM,QAAQ;AACnD,iBAAW;AACX,IAAG,yBAAQ;AAEX,UAAM,MAAM,MAAM,SAAQ,SAAS,QAAM,WAAW,aAAY;AAChE,YAAO;AACP,YAAQ;AAAA;AAAA;;;AC7HL,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;AAAA;AAGxD,IAAM,QAAQ,UAAU;AAExB,IAAM,UAAU,UAAU,OAAO,CAAC,QAAQ,WAAW,MAAM;AAChE,SAAO,aAAa;AACpB,SAAO;AAAA,GACN;AAEH,IAAM,qBAAqB;AAAA,EACzB,CAAC,WAAW;AAAA,EAAiB,CAAC,aAAa;AAAA,EAC3C,CAAC,aAAa;AAAA,EAAc,CAAC,WAAW;AAAA,EACxC,CAAC,YAAY;AAAA,EAAc,CAAC,YAAY;AAAA,EACxC,CAAC,cAAc;AAAA,EAAkB,CAAC,cAAc;AAAA,EAChD,CAAC,YAAY;AAAA,EAAc,CAAC,aAAa;AAAA,EACzC,CAAC,gBAAgB;AAAA,EAAkB,CAAC,WAAW;AAAA;AAE1C,IAAM,uBAAuB,mBAAmB,IAAI,CAAC,CAAC,YAAY,gBAAiB,CAAC,QAAQ,aAAa,QAAQ;AAEjH,IAAM,YAAY;AAAA,EACvB,CAAC,QAAQ;AAAA,EAAY,CAAC,WAAW;AAAA,EAAY,CAAC,QAAQ;AAAA,EACtD,CAAC,YAAY;AAAA,EAAa,CAAC,QAAQ;AAAA,EACnC,CAAC,gBAAgB;AAAA,EAAc,CAAC,aAAa;AAAA,EAC7C,CAAC,gBAAgB;AAAA,EAAY,CAAC,WAAW;AAAA,EACzC,CAAC,YAAY;AAAA,EAAc,CAAC,QAAQ;AAAA,EACpC,CAAC,iBAAiB;AAAA,EAAe,CAAC,cAAc;AAAA,EAChD,CAAC,iBAAiB;AAAA,EAAa,CAAC,YAAY;AAAA,EAC5C,CAAC,aAAa;AAAA;AAiBT,wBAAwB,WAA6C;AAC1E,QAAM,QAAQ,UAAU,OAAO,CAAC,EAAE,MAAM,MAAM,MAAM,QAAQ,EAAE,UAAU,EAAE,GAAG,UAAW;AAAA,IACtF,MAAM,KAAK,IAAI,MAAM;AAAA,IACrB,MAAM,KAAK,IAAI,MAAM;AAAA,IACrB,MAAM,KAAK,IAAI,MAAM;AAAA,IACrB,MAAM,KAAK,IAAI,MAAM;AAAA,MACnB;AAAA,IACF,MAAM,OAAO;AAAA,IACb,MAAM,OAAO;AAAA,IACb,MAAM,OAAO;AAAA,IACb,MAAM,OAAO;AAAA;AAEf,SAAO,CAAC,MAAM,MAAM,MAAM,MAAM,MAAM,OAAO,MAAM,MAAM,MAAM,OAAO,MAAM;AAAA;AAGvE,oBAAoB,OAAO,CAAC,QAAQ,QAAQ,CAAC,uBAAuB,uBAA0C;AACnH,QAAM,SAAS,SAAS;AACxB,QAAM,SAAS,QAAQ;AACvB,QAAM,YAAY,CAAC,MAAM,MAAO;AAAA,IAC9B,IAAI;AAAA,IACJ,OAAO,KAAK;AAAA,IACZ,QAAQ,CAAC,KAAK,IAAI,KAAK,sBAAsB,KAAK,IAAI,KAAK,uBAAuB,KAAK,IAAI,KAAK,sBAAsB,KAAK,IAAI,KAAK;AAAA,IACpI,KAAK,CAAC,KAAK,MAAM,KAAK,IAAI,KAAK,SAAS,KAAK,MAAM,KAAK,IAAI,KAAK,SAAS,KAAK,MAAM,KAAK,IAAI,KAAK,SAAS,KAAK,MAAM,KAAK,IAAI,KAAK;AAAA,IACrI,WAAW,KAAK,UAAU,IAAI,CAAC,EAAE,OAAO,MAAM,eAAgB;AAAA,MAC5D;AAAA,MACA;AAAA,MACA,UAAU,CAAC,KAAK,MAAM,SAAS,IAAI,SAAS,KAAK,MAAM,SAAS,IAAI;AAAA,MACpE,aAAa,CAAC,SAAS,IAAI,uBAAuB,SAAS,IAAI;AAAA;AAAA;AAGnE,QAAM,cAAc,MAAM,IAAI,CAAC,MAAM,MAAM,UAAU,MAAM;AAC3D,SAAO;AAAA;AAIF,oBAAc;AAAA,EAKnB,YAAY,UAAS,iBAAiB;AAJtC;AACA;AACA;AAGE,SAAK,gBAAgB,IAAI,MAAM;AAC/B,SAAK,mBAAmB;AACxB,SAAK,kBAAkB;AAAA;AAAA,EAGzB,QAAQ,GAAG;AACT,SAAK,cAAc,EAAE,KAAK,oBAAoB;AAC9C,SAAK,KAAK,KAAK;AAAA;AAAA,EAGjB,UAAU;AACR,UAAM,OAAM,KAAK,cAAc;AAC/B,SAAK,SAAS,GAAG,KAAK;AACtB,SAAK,KAAK;AACV,SAAK,cAAc,KAAK,mBAAmB,KAAK;AAChD,WAAO;AAAA;AAAA,EAGT,QAAQ;AAAE,WAAO,KAAK,qBAAqB;AAAA;AAAA,EAE3C,OAAO;AAAE,WAAO,KAAK,mBAAmB;AAAA;AAAA,EAExC,MAAM;AAAE,WAAO,KAAK,cAAc,MAAM,GAAG,KAAK,mBAAmB;AAAA;AAAA,EAEnE,MAAM;AAAE,WAAO,KAAK,cAAc;AAAA;AAAA,EAElC,KAAK,GAAG;AACN,WAAO,IAAI,KAAK,KAAK,KAAK,KAAK,MAAM,IAAI,IAAI,IAAI;AAC/C,WAAK,SAAS,GAAG,KAAK,MAAM,IAAI;AAChC,UAAI,KAAK,MAAM,IAAI;AAAA;AAAA;AAAA,EAIvB,KAAK,GAAG;AACN,WAAO,IAAI,KAAK,KAAK,kBAAkB;AACrC,UAAI,IAAI,IAAI;AACZ,UAAI,IAAI,KAAK,oBAAoB,KAAK,KAAK,GAAG,IAAI;AAAI;AACtD,UAAI,CAAC,KAAK,KAAK,GAAG;AAAI;AACtB,WAAK,SAAS,GAAG;AACjB,UAAI;AAAA;AAAA;AAAA,EAIR,WAAW,GAAG;AAEZ,WAAO,KAAK,gBAAgB,KAAK,cAAc;AAAA;AAAA,EAGjD,KAAK,GAAG,GAAG;AACT,WAAO,KAAK,WAAW,KAAK,KAAK,WAAW;AAAA;AAAA,EAG9C,SAAS,GAAG,GAAG;AACb,UAAM,IAAI,KAAK,cAAc;AAC7B,SAAK,cAAc,KAAK,KAAK,cAAc;AAC3C,SAAK,cAAc,KAAK;AAAA;AAAA;AAIrB,wBAAwB,GAAG,GAAG,UAAU,SAAS;AACtD,SAAO;AAAA,IACL,GAAG,QAAQ,IAAI,GAAG,GAAG;AAAA,IACrB,GAAG,QAAQ,IAAI,GAAG,GAAG,WAAW;AAAA;AAAA;AAI7B,wBAAwB,MAAM,eAAc,SAAS;AAC1D,QAAM,EAAE,UAAU,UAAU,IAAI,aAAa;AAC7C,QAAM,EAAE,GAAG,MAAM,eAAe,UAAU,UAAU,UAAU;AAC9D,SAAO;AAAA,IACL,GAAG,KAAK,WAAW,gBAAe;AAAA,IAClC,GAAG,KAAK,WAAW,gBAAe;AAAA;AAAA;AAY/B,eAAe,GAAG,MAAK,MAAK;AACjC,MAAI,IAAI;AAAK,WAAO;AACpB,MAAI,IAAI;AAAK,WAAO;AACpB,SAAO;AAAA;AAGF,yBAAyB,IAAI,IAAI,IAAI,IAAI;AAC9C,QAAM,KAAK,KAAK;AAChB,QAAM,KAAK,KAAK;AAChB,SAAO,KAAK,KAAK,KAAK;AAAA;AAGjB,oBAAoB,GAAG,GAAG;AAC/B,SAAO,EAAE,GAAG,EAAE,IAAI,EAAE,GAAG,GAAG,EAAE,IAAI,EAAE;AAAA;;;AClLpC,IAAI;AACJ,IAAM,iBAAiB,CAAC,gCAA6C,iCAAoD,0CAA+D;AAExL,IAAM,qBAAqB;AAC3B,IAAM,eAAe;AACrB,IAAM,mBAAmB,MAAM;AAE/B,kBAAkB,QAAQ,gBAAgB,UAAU,QAAQ,SAAS,eAAe,mBAAmB,GAAG;AACxG,QAAM,kBAAkB,CAAC,WAAW;AAAA,IAClC,GAAG,cAAc,IAAI,OAAM,GAAG,OAAM,GAAG;AAAA,IACvC,GAAG,cAAc,IAAI,OAAM,GAAG,OAAM,GAAI,cAAc,MAAM,KAAK,IAAK;AAAA;AAExE,QAAM,2BAA2B,CAAC,QAAO,SAAQ,WAAW;AAAA,IAC1D,GAAG,AAAM,MAAM,KAAK,MAAM,OAAM,IAAI,eAAe,GAAG,UAAS;AAAA,IAC/D,GAAG,AAAM,MAAM,KAAK,MAAM,OAAM,IAAI,eAAe,GAAG,SAAQ;AAAA;AAGhE,QAAM,CAAC,QAAQ,SAAS,OAAO;AAE/B,QAAM,wBAAwB,yBAAyB,eAAe,UAAU,QAAQ;AACxF,QAAM,eAAe,gBAAgB;AACrC,QAAM,iBAAiB,AAAM,WAAW,eAAe,UAAU;AACjE,MAAI,iBAAiB;AACrB,WAAS,IAAI,GAAG,IAAI,kBAAkB,KAAK;AACzC,UAAM,wBAAwB,yBAAyB,gBAAgB,QAAQ;AAC/E,UAAM,cAAc,AAAM,eAAe,sBAAsB,GAAG,sBAAsB,GAAG,UAAU;AACrG,qBAAiB,AAAM,WACrB,EAAE,GAAG,sBAAsB,IAAI,cAAc,GAAG,sBAAsB,IAAI,gBAC1E,EAAE,GAAG,YAAY,GAAG,GAAG,YAAY;AAAA;AAGvC,QAAM,wBAAwB,yBAAyB,gBAAgB,QAAQ;AAC/E,QAAM,QAAQ,OAAO,IAAI,sBAAsB,GAAG,sBAAsB,GAAG;AAC3E,SAAO,EAAE,UAAU,gBAAgB,MAAM,AAAM,UAAU,WAAW;AAAA;AAG/D,oBAAoB,MAAM,QAAQ,SAAS,kBAAkB,kBAAkB;AACpF,QAAM,SAAS,AAAM,UAAU,IAAI,CAAC,CAAC,gBAAgB,mBAAoB,CAAC,AAAM,QAAQ,iBAAiB,AAAM,QAAQ;AACvH,QAAM,WAAW,OAAO,IAAI,CAAC,CAAC,EAAE,kBAAkB;AAClD,QAAM,WAAW,OAAO,IAAI,CAAC,CAAC,mBAAmB;AACjD,QAAM,WAAW,OAAO,MAAM;AAC9B,QAAM,WAAW,SAAS;AAC1B,QAAM,YAAY,IAAI,MAAM;AAE5B,QAAM,YAAY,AAAM,eAAe,KAAK,MAAM,cAAc;AAChE,YAAU,KAAK,KAAK,MAAM;AAAA,IACxB,OAAO,KAAK;AAAA,IACZ,MAAM,AAAM,UAAU,KAAK,KAAK;AAAA,IAChC,UAAU;AAAA;AAGZ,WAAS,OAAO,WAAW,GAAG,QAAQ,GAAG,EAAE,MAAM;AAC/C,UAAM,WAAW,SAAS;AAC1B,UAAM,WAAW,SAAS;AAC1B,QAAI,UAAU,aAAa,CAAC,UAAU,WAAW;AAC/C,gBAAU,YAAY,SAAS,MAAM,UAAU,WAAW,UAAU,QAAQ,SAAS;AAAA;AAAA;AAIzF,WAAS,OAAO,GAAG,OAAO,UAAU,EAAE,MAAM;AAC1C,UAAM,WAAW,SAAS;AAC1B,UAAM,WAAW,SAAS;AAC1B,QAAI,UAAU,aAAa,CAAC,UAAU,WAAW;AAC/C,gBAAU,YAAY,SAAS,MAAM,UAAU,WAAW,UAAU,QAAQ,SAAS;AAAA;AAAA;AAGzF,SAAO;AAAA;AAGT,qCAAqC,YAAY,OAAO,UAAU,UAAU,QAAQ;AAClF,QAAM,CAAC,QAAQ,SAAS,OAAO;AAC/B,MAAI,eAAe;AACnB,QAAM,SAAS,KAAK,IAAI,WAAW,oBAAoB;AACvD,QAAM,OAAO,KAAK,IAAI,WAAW,qBAAqB,GAAG;AACzD,WAAS,WAAW,QAAQ,WAAW,MAAM,EAAE,UAAU;AACvD,UAAM,SAAS,KAAK,IAAI,WAAW,oBAAoB;AACvD,UAAM,OAAO,KAAK,IAAI,WAAW,qBAAqB,GAAG;AACzD,aAAS,WAAW,QAAQ,WAAW,MAAM,EAAE,UAAU;AACvD,UAAI,OAAO,IAAI,UAAU,UAAU,cAAc,OAAO;AACtD,uBAAe;AACf;AAAA;AAAA;AAGJ,QAAI,CAAC;AAAc;AAAA;AAErB,SAAO;AAAA;AAGF,iCAAiC,gBAAe,QAAQ;AAC7D,QAAM,CAAC,QAAQ,OAAO,gBAAgB,OAAO;AAC7C,QAAM,QAAQ,IAAU,QAAQ,SAAS,QAAQ,cAAc,CAAC,EAAE,YAAY;AAC9E,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;AAE7C,YAAI,QAAQ;AAAe;AAE3B,YAAI,4BAA4B,YAAY,OAAO,UAAU,UAAU;AAAS,gBAAM,QAAQ,EAAE,OAAO,MAAM,EAAE,UAAU,UAAU,IAAI;AAAA;AAAA;AAAA;AAI7I,SAAO;AAAA;AAGT,sBAAsB,OAAO,EAAE,GAAG,KAAK,YAAY;AACjD,SAAO,MAAM,KAAK,CAAC,EAAE,gBAAgB;AAxHvC;AAyHI,UAAM,wBAAwB,gBAAU,gBAAV,mBAAuB;AACrD,QAAI,CAAC;AAAuB,aAAO;AACnC,WAAO,AAAM,gBAAgB,GAAG,GAAG,sBAAsB,GAAG,sBAAsB,MAAM;AAAA;AAAA;AAI5F,0BAA0B,eAAe,WAAW;AAClD,QAAM,8BAA8B,UAAU,OAAO,CAAC,QAAQ,EAAE,UAAU,SAAS,eAAe;AAChG,QAAI,CAAC,aAAa,eAAe,UAAU;AAAa,gBAAU;AAClE,WAAO;AAAA,KACN;AACH,SAAO,8BAA8B,UAAU;AAAA;AAG1C,gBAAgB,SAAS,QAAQ,kBAAkB,kBAAkB,aAAa,gBAAe;AACtG,QAAM,QAAuD;AAC7D,QAAM,QAAQ,wBAAwB,gBAAe;AAErD,SAAO,MAAM,SAAS,eAAe,CAAC,MAAM,SAAS;AAEnD,UAAM,OAAO,MAAM;AAGnB,UAAM,kBAAkB,AAAM,eAAe,KAAK,MAAM,cAAc;AAEtE,QAAI,aAAa,OAAO,iBAAiB,KAAK,KAAK;AAAK;AAExD,QAAI,YAAY,WAAW,MAAM,QAAQ,SAAS,kBAAkB;AACpE,gBAAY,UAAU,OAAO,CAAC,MAAM,EAAE,QAAQ;AAC9C,UAAM,QAAQ,iBAAiB,OAAO;AACtC,UAAM,OAAM,AAAM,eAAe;AACjC,QAAI,QAAQ;AAAe,YAAM,KAAK,EAAE,WAAW,WAAK,OAAO,KAAK,MAAM,MAAM,SAAS;AAAA;AAE3F,SAAO;AAAA;AAGT,yBAA8B,OAAe,SAAuC;AAIlF,QAAM,MAAM,AAAG,sBAAK,MAAM;AACxB,QAAI,CAAC,QAAM,OAAO,GAAG;AAAO,aAAO;AACnC,UAAM,UAAU,AAAG,uBAAM,eAAe,OAAO,CAAC,QAAM,OAAO,GAAG,MAAM,IAAI,QAAM,OAAO,GAAG,MAAM;AAChG,UAAM,aAAa,AAAG,qBAAI,AAAG,qBAAI,AAAG,sBAAK,SAAS,YAAY,QAAQ;AACtE,UAAM,UAAyB,QAAM,QAAQ,YAAY;AACzD,UAAM,YAAY,QAAQ,IAAI,CAAC,MAAM,AAAG,yBAAQ,GAAG,CAAC;AACpD,cAAU,KAAK,UAAU,GAAG;AAC5B,WAAO;AAAA;AAGT,QAAM,UAAU,MAAM,QAAQ,IAAI,IAAI,IAAI,CAAC,YAAmB,QAAO;AACrE,aAAW,KAAK;AAAK,IAAG,yBAAQ;AAEhC,QAAM,UAAU,MAAM,OAAO,QAAQ,IAAI,QAAQ,IAAI,QAAQ,IAAI,QAAQ,IAAI,QAAO,KAAK,aAAa,QAAO,KAAK;AAClH,MAAI,CAAC,QAAM,OAAO,GAAG;AAAO,WAAO;AACnC,QAAM,SAAS,AAAM,WAAW,SAAS,CAAC,MAAM,MAAM,IAAI,MAAM,MAAM,KAAK,CAAC,QAAM,OAAO,GAAG,MAAM,IAAI,QAAM,OAAO,GAAG,MAAM;AAC5H,SAAO;AAAA;AAGT,sBAA2B,SAAqC;AAC9D,MAAI,CAAC,WAAS,IAAI,SAAS;AACzB,cAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,QAAO,KAAK,aAAa;AACpF,QAAI,CAAC,WAAS,CAAC,QAAM;AAAa,UAAI,sBAAsB,QAAO,KAAK;AAAA,aAC/D,QAAO;AAAO,UAAI,eAAe,QAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,QAAM;AACpD,SAAO;AAAA;;;AC1KT,IAAI;AACJ,IAAI,OAAO;AAEX,sBAA2B,SAAqC;AAC9D,MAAI,CAAC,WAAS,IAAI,SAAS;AACzB,cAAQ,MAAM,AAAG,gCAAe,KAAK,QAAO,eAAe,QAAO,aAAa,aAAa;AAC5F,QAAI,CAAC,WAAS,CAAC,QAAM;AAAa,UAAI,sBAAsB,QAAO,aAAa;AAAA,aACvE,QAAO;AAAO,UAAI,eAAe,QAAM;AAAA,aACvC,QAAO;AAAO,QAAI,iBAAiB,QAAM;AACpD,SAAO;AAAA;AAGT,wBAA8B,OAAc,YAA+B,SACoB;AA7B/F;AA8BE,MAAI;AAAM,WAAO,EAAE,MAAM,IAAI,QAAQ,MAAM,OAAO;AAClD,SAAO;AACP,MAAI,CAAC;AAAO,UAAM,OAAK;AACvB,QAAM,aAAa,MAAM,AAAM,SAAQ,OAAO;AAC9C,QAAM,QAAQ,kBAAW,WAAX,mBAAmB,MAAM,OAAM;AAC7C,QAAM,SAAS,kBAAW,WAAX,mBAAmB,MAAM,OAAM;AAC9C,MAAI,CAAC,WAAW;AAAQ,WAAO,EAAE,MAAM,IAAI,QAAQ,MAAM,OAAO;AAChE,QAAM,IAA4B;AAElC,IAAE,SAAS,AAAG,uBAAM,eAAe,WAAW,QAAQ,CAAC,QAAM,OAAO,GAAG,QAAQ,QAAM,OAAO,GAAG,MAAM,KAAK,GAAG,QAAM,OAAO,GAAG,QAAQ,QAAM,OAAO,GAAG,MAAM,KAAK,IAAI;AACpK,EAAG,yBAAQ,WAAW;AACtB,IAAE,OAAO,AAAG,qBAAI,EAAE,QAAQ;AAC1B,IAAE,MAAM,QAAM,QAAQ,EAAE;AAExB,IAAE,UAAU,AAAG,yBAAQ,EAAE,KAAK;AAC9B,MAAI,EAAE,QAAQ,MAAM,OAAO,GAAG;AAC5B,MAAE,UAAU,AAAG,yBAAQ,EAAE;AACzB,KAAC,EAAE,IAAI,EAAE,MAAM,AAAG,yBAAQ,EAAE,SAAS;AACrC,MAAE,SAAS,AAAG,4BAAW,EAAE,IAAI;AAC/B,MAAE,MAAM,AAAG,4BAAW,EAAE,QAAQ;AAChC,MAAE,OAAO,AAAG,uBAAM,cAAc,EAAE,KAAK,CAAC,CAAC,GAAG,GAAG,KAAK,OAAO,CAAC,IAAI,CAAC,OAAO;AAIxE,MAAE,OAAO,AAAG,yBAAQ,EAAE,MAAM;AAAA,SACvB;AACL,MAAE,OAAO,AAAG,uBAAM,eAAe,EAAE,SAAS,CAAC,QAAQ;AAAA;AAEvD,QAAM,OAAO,MAAM,KAAK,MAAM,EAAE,KAAK;AAErC,MAAI,IAAI,QAAQ,CAAC,IAAI,UAAW,OAAO,cAAc,aAAc;AACjE,QAAI,QAAO;AAAO,UAAI;AACtB,WAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAChD,WAAO,EAAE,MAAM,QAAQ,MAAM,OAAO;AAAA;AAGtC,QAAM,cAAc,AAAM,OAAO,OAAO;AACxC,QAAM,AAAG,yBAAQ,SAAS,EAAE,MAAM;AAClC,QAAM,WAAW,YAAY,WAAW;AACxC,MAAI,QAAO,aAAa,QAAQ,QAAO,aAAa,OAAO;AAAG,aAAS,SAAS,QAAQ,QAAO,aAAa;AAC5G,QAAM,YAAY,SAAS,aAAa,GAAG,GAAG,OAAO;AAErD,QAAM,kBAAkB,AAAM,OAAO,OAAO;AAC5C,QAAM,eAAe,gBAAgB,WAAW;AAChD,MAAI,WAAW;AAAQ,iBAAa,UAAU,WAAW,QAAQ,GAAG;AACpE,eAAa,2BAA2B;AACxC,MAAI,QAAO,aAAa,QAAQ,QAAO,aAAa,OAAO;AAAG,iBAAa,SAAS,QAAQ,QAAO,aAAa;AAChH,eAAa,UAAU,aAAa,GAAG;AACvC,eAAa,2BAA2B;AACxC,eAAa,SAAS;AACtB,QAAM,gBAAgB,aAAa,aAAa,GAAG,GAAG,OAAO;AAC7D,WAAS,IAAI,GAAG,IAAI,QAAQ,QAAQ;AAAK,kBAAc,KAAK,IAAI,IAAI,KAAK,UAAU,KAAK,IAAI,IAAI;AAChG,eAAa,aAAa,eAAe,GAAG;AAE5C,MAAI,eAA2D;AAC/D,MAAI,cAAc,iBAAiB;AACjC,mBAAe,AAAM,OAAO,OAAO;AACnC,UAAM,UAAU,MAAM,AAAM,SAAQ,YAAY;AAChD,IAAG,yBAAQ,QAAQ;AACnB,UAAM,WAAW,aAAa,WAAW;AACzC,aAAS,UAAU,QAAQ,QAA6B,GAAG,GAAG,aAAa,OAAO,aAAa;AAC/F,aAAS,UAAU,iBAAiB,GAAG;AAAA;AAGzC,SAAO,KAAK,GAAG,QAAQ,CAAC,YAAW,AAAG,yBAAQ,EAAE;AAChD,SAAO;AAEP,SAAO,EAAE,MAAM,QAAQ,iBAAiB,OAAO;AAAA;;;ACjE1C,mBAAa;AAAA,EAAb,cAhCP;AAiCE,+BAA+C;AAC/C,yCAAyD;AACzD,2CAA2D;AAC3D,qCAAqD;AACrD,qCAAqD;AACrD,yCAAyD;AACzD,qCAAqD;AACrD,mCAAmD;AACnD,sCAAsD;AACtD,oCAAoD;AACpD,oCAAoD;AACpD,mCAAmD;AACnD,kCAAkD;AAClD,oCAAoD;AACpD,wCAAwD;AACxD,qCAAqD;AACrD,oCAAoD;AACpD,mCAAmD;AACnD,mCAAmD;AACnD,mCAAmD;AACnD,wCAAwD;AACxD,qCAAqD;AAAA;AAAA;AAGhD,eAAe,UAAuB;AAE3C,aAAW,WAAS,OAAO,KAAK,SAAS;AAAS,aAAS,OAAO,WAAS;AAAA;AAI7E,sBAA2B,UAAgC;AA/D3D;AAgEE,MAAI,IAAI;AAAS,UAAM;AACvB,MAAI,SAAS,OAAO,KAAK,SAAS;AAChC,QAAI,CAAC,SAAS,OAAO,YAAY,sBAAS,OAAO,KAAK,aAArB,mBAA+B,cAA/B,mBAA0C,SAAS;AAAe,OAAC,SAAS,OAAO,UAAU,SAAS,OAAO,gBAAgB,MAAM,AAAS,OAAK,SAAS;AAC3L,QAAI,CAAC,SAAS,OAAO,gBAAgB,SAAS,OAAO,KAAK,aAAa,sBAAS,OAAO,KAAK,aAArB,mBAA+B,cAA/B,mBAA0C,SAAS;AAAe,OAAC,SAAS,OAAO,UAAU,SAAS,OAAO,gBAAgB,MAAM,AAAS,OAAK,SAAS;AAAA;AAEnO,MAAI,SAAS,OAAO,KAAK,WAAW,CAAC,SAAS,OAAO,aAAa,sBAAS,OAAO,SAAhB,mBAAsB,cAAtB,mBAAiC,SAAS;AAAc,aAAS,OAAO,YAAY,AAAU,SAAS,SAAS;AAClL,MAAI,SAAS,OAAO,KAAK,WAAW,CAAC,SAAS,OAAO,mBAAmB,gBAAS,OAAO,KAAK,aAArB,mBAA+B,cAAa,sBAAS,OAAO,SAAhB,mBAAsB,cAAtB,mBAAiC,SAAS;AAAc,aAAS,OAAO,kBAAkB,AAAU,WAAW,SAAS;AAC5O,MAAI,SAAS,OAAO,KAAK,WAAW,CAAC,SAAS,OAAO,iBAAiB,sBAAS,OAAO,SAAhB,mBAAsB,cAAtB,mBAAiC,SAAS;AAAkB,aAAS,OAAO,gBAAgB,AAAc,MAAK,SAAS;AAC9L,MAAI,SAAS,OAAO,KAAK,WAAW,CAAC,SAAS,OAAO,iBAAiB,sBAAS,OAAO,SAAhB,mBAAsB,cAAtB,mBAAiC,SAAS;AAAkB,aAAS,OAAO,gBAAgB,AAAc,MAAK,SAAS;AAC9L,MAAI,SAAS,OAAO,KAAK,WAAW,CAAC,SAAS,OAAO,WAAW,sBAAS,OAAO,SAAhB,mBAAsB,cAAtB,mBAAiC,SAAS;AAAY,aAAS,OAAO,UAAU,AAAQ,OAAK,SAAS;AACtK,MAAI,SAAS,OAAO,KAAK,WAAW,CAAC,SAAS,OAAO,WAAW,sBAAS,OAAO,SAAhB,mBAAsB,cAAtB,mBAAiC,SAAS;AAAY,aAAS,OAAO,UAAU,AAAQ,OAAK,SAAS;AACtK,MAAI,SAAS,OAAO,KAAK,WAAW,CAAC,SAAS,OAAO;AAAY,aAAS,OAAO,aAAa,AAAU,MAAK,SAAS;AACtH,MAAI,SAAS,OAAO,KAAK,WAAW,gBAAS,OAAO,KAAK,cAArB,mBAAgC,YAAW,CAAC,SAAS,OAAO;AAAW,aAAS,OAAO,YAAY,AAAU,MAAK,SAAS;AAC/J,MAAI,SAAS,OAAO,KAAK,WAAW,gBAAS,OAAO,KAAK,aAArB,mBAA+B,YAAW,CAAC,SAAS,OAAO;AAAU,aAAS,OAAO,WAAW,AAAS,OAAK,SAAS;AAC3J,MAAI,SAAS,OAAO,KAAK,WAAW,gBAAS,OAAO,KAAK,gBAArB,mBAAkC,YAAW,CAAC,SAAS,OAAO;AAAS,aAAS,OAAO,UAAU,AAAQ,MAAK,SAAS;AAC3J,MAAI,SAAS,OAAO,KAAK,WAAW,gBAAS,OAAO,KAAK,YAArB,mBAA8B,YAAW,CAAC,SAAS,OAAO;AAAS,aAAS,OAAO,UAAU,AAAQ,MAAK,SAAS;AACvJ,MAAI,SAAS,OAAO,KAAK,WAAW,gBAAS,OAAO,KAAK,SAArB,mBAA2B,YAAW,CAAC,SAAS,OAAO;AAAU,aAAS,OAAO,WAAW,AAAK,MAAK,SAAS;AACnJ,MAAI,SAAS,OAAO,KAAK,WAAW,gBAAS,OAAO,KAAK,SAArB,mBAA2B,YAAW,CAAC,SAAS,OAAO;AAAU,aAAS,OAAO,WAAW,AAAS,MAAK,SAAS;AACvJ,MAAI,SAAS,OAAO,KAAK,WAAW,gBAAS,OAAO,KAAK,qBAArB,mBAAuC,YAAW,CAAC,SAAS,OAAO;AAAe,aAAS,OAAO,gBAAgB,AAAc,KAAK,SAAS;AAClL,MAAI,SAAS,OAAO,KAAK,WAAW,CAAC,SAAS,OAAO,aAAa,sBAAS,OAAO,KAAK,aAArB,mBAA+B,cAA/B,mBAA0C,SAAS;AAAc,aAAS,OAAO,YAAY,AAAU,YAAW,SAAS;AAC7L,MAAI,SAAS,OAAO,KAAK,WAAW,SAAS,OAAO,KAAK,aAAa,CAAC,SAAS,OAAO,gBAAgB,sBAAS,OAAO,KAAK,aAArB,mBAA+B,cAA/B,mBAA0C,SAAS;AAAc,aAAS,OAAO,eAAe,AAAU,aAAa,SAAS;AACvO,MAAI,SAAS,OAAO,OAAO,WAAW,CAAC,SAAS,OAAO,aAAa,sBAAS,OAAO,WAAhB,mBAAwB,cAAxB,mBAAmC,SAAS;AAAc,aAAS,OAAO,YAAY,AAAU,MAAK,SAAS;AAClL,MAAI,SAAS,OAAO,OAAO,WAAW,CAAC,SAAS,OAAO,WAAW,sBAAS,OAAO,WAAhB,mBAAwB,cAAxB,mBAAmC,SAAS;AAAY,aAAS,OAAO,UAAU,AAAQ,OAAK,SAAS;AAC1K,MAAI,SAAS,OAAO,aAAa,WAAW,CAAC,SAAS,OAAO;AAAc,aAAS,OAAO,eAAe,AAAa,OAAK,SAAS;AAGrI,mBAAiB,WAAS,OAAO,KAAK,SAAS,SAAS;AACtD,QAAI,SAAS,OAAO,YAAU,OAAO,SAAS,OAAO,aAAW;AAAa,eAAS,OAAO,WAAS,MAAM,SAAS,OAAO;AAAA;AAAA;AAIhI,yBAA+B,UAAgC;AAE7D,QAAM,YAAY,CAAC,SAAS,eAAe,QAAQ,OAAO,WAAW,OAAO,OAAO,OAAO;AAC1F,aAAW,WAAW,OAAO,KAAK,SAAS,SAAS;AAClD,QAAI,SAAS,OAAO,UAAU;AAC5B,UAAI,UAAuB;AAC3B,UAAI,MAAM,QAAQ,SAAS,OAAO,WAAW;AAC3C,kBAAS,SAAS,OAAO,SACtB,OAAO,CAAC,YAAW,YAAU,MAC7B,IAAI,CAAC,YAAY,WAAS,QAAM,WAAY,UAAQ,QAAM;AAAA,aACxD;AACL,kBAAS,CAAC,SAAS,OAAO;AAAA;AAE5B,iBAAW,WAAS,SAAQ;AAC1B,YAAI,CAAC,SAAO;AACV,cAAI,SAAS,OAAO;AAAO,gBAAI,2CAA2C;AAC1E;AAAA;AAEF,cAAM,MAAgB;AAEtB,cAAM,WAAW,mCAAO;AACxB,YAAI,YAAY,SAAS,MAAM,OAAO;AACpC,qBAAW,UAAU,OAAO,OAAO,SAAS,MAAM,QAAQ;AACxD,kBAAM,KAAM,OAAc,GAAG;AAC7B,gBAAI,CAAC,IAAI,SAAS;AAAK,kBAAI,KAAK;AAAA;AAAA,eAE7B;AACL,cAAI,CAAC,YAAY,SAAS,OAAO;AAAO,gBAAI,mCAAmC;AAAA;AAEjF,cAAM,UAAoB;AAC1B,mBAAW,MAAM,KAAK;AACpB,cAAI,CAAC,UAAU,SAAS,OACnB,CAAC,SAAS,IAAI,QAAQ,SAAS,OAC/B,CAAC,SAAS,IAAI,QAAQ,SAAS,GAAG,QAAQ,KAAK,QAC/C,CAAC,SAAS,IAAI,QAAQ,SAAS,GAAG,QAAQ,UAAU,QACpD,CAAC,SAAS,IAAI,QAAQ,SAAS,GAAG,QAAQ,MAAM,MAAM;AACzD,oBAAQ,KAAK;AAAA;AAAA;AAIjB,YAAI,QAAQ,SAAS,KAAK,SAAS,OAAO;AAAO,cAAI,qBAAqB,SAAS;AAAA;AAAA;AAAA;AAAA;;;AC9HpF,IAAM,UAAS;AAAA,EACpB,MAAM;AAAA,EACN,UAAU;AAAA,EACV,QAAoD;AAAA,EACpD,IAAmC;AAAA,EACnC,YAAuB;AAAA,EACvB,WAAW;AAAA,IACT,OAAO;AAAA,IACP,WAAW;AAAA,IACX,oBAAoB;AAAA,IACpB,uBAAuB;AAAA,IACvB,OAAO;AAAA,IACP,SAAS;AAAA,IACT,8BAA8B;AAAA,IAC9B,gBAAgB;AAAA;AAAA;AAIpB,sBAA4B;AAK1B,QAAM,KAAK,QAAO;AAClB,MAAI,CAAC;AAAI;AACT,UAAO,aAAa,GAAG;AAAA;AASzB,wBAA+B,UAAgC;AA3C/D;AA6CE,MAAI,SAAS,OAAO,YAAY;AAAW;AAC3C,MAAK,QAAO,QAAQ,AAAG,0BAAS,YAAc,EAAC,QAAO,MAAM,CAAC,QAAO,GAAG,aAAa,QAAO,GAAG,WAAW;AACvG,QAAI;AACJ,IAAO,MAAM;AAAA;AAOf,MAAI,CAAC,AAAG,6BAAY,QAAO,OAAO;AAChC,QAAI;AACF,cAAO,SAAS,MAAM,AAAM,OAAO,KAAK;AAAA,aACjC,KAAP;AACA,UAAI,gCAAgC;AACpC;AAAA;AAEF,QAAI;AACF,cAAO,KAAK,cAAO,WAAP,mBAAe,WAAW,UAAU,QAAO;AACvD,YAAM,OAAO,QAAO,GAAG,aAAa,QAAO,GAAG,SAAS,SAAS;AAChE,UAAI,CAAC,MAAM;AACT,YAAI;AACJ,iBAAS,OAAO,UAAU;AAC1B;AAAA;AAEF,UAAI,QAAO,QAAQ;AACjB,gBAAO,OAAO,iBAAiB,oBAAoB,OAAO,MAAM;AAC9D,cAAI,mBAAmB,EAAE;AAEzB,cAAI;AACJ,mBAAS,KAAK;AACd,gBAAM,IAAI,MAAM;AAAA;AAOlB,gBAAO,OAAO,iBAAiB,wBAAwB,CAAC,MAAM;AAC5D,cAAI,oCAAoC;AAAA;AAE1C,gBAAO,OAAO,iBAAiB,6BAA6B,CAAC,MAAM;AACjE,cAAI,kCAAkC;AAAA;AAAA;AAAA,aAGnC,KAAP;AACA,UAAI,oCAAoC;AACxC;AAAA;AAEF,QAAI;AACF,MAAG,iCAAgB,GAAG,QAAO;AAAA,aACtB,KAAP;AACA,UAAI,oCAAoC;AACxC;AAAA;AAEF,QAAI;AACF,YAAM,MAAM,IAAO,8BAAa,QAAO;AACvC,MAAG,iCAAgB,QAAO,MAAM,MAAM,IAAO,kCAAiB,MAAM,QAAO;AAAA,aACpE,KAAP;AACA,UAAI,yCAAyC;AAC7C;AAAA;AAEF,QAAI;AACF,YAAM,UAAU,AAAG,sCAAqB;AACxC,cAAQ,QAAQ,CAAC,iBAAiB;AAChC,cAAM,kBAAkB,KAAK,cAAc,aAAa,QAAO;AAC/D,QAAG,gCAAe;AAAA;AAAA,aAEb,KAAP;AACA,UAAI,oDAAoD;AACxD;AAAA;AAEF,UAAM,UAAU,AAAG,2BAAU,kBAAkB,AAAG,2BAAU,kBAAkB,KAAK;AACnF,QAAI,SAAS;AACX,UAAI,yBAAyB,QAAQ,aAAa,QAAQ,qBAAqB,QAAQ,aAAa,QAAQ;AAAA,WACvG;AACL,UAAI,iCAAiC,SAAS,QAAO;AACrD;AAAA;AAEF,QAAI;AACF,MAAG,qBAAI,IAAI,iBAAiB;AAAA,aACrB,KAAP;AACA,UAAI,0CAA0C;AAC9C;AAAA;AAEF;AACA,QAAI,uBAAuB,QAAO;AAAA;AAAA;;;AC3HtC,6BAA6B;AAC3B,MAAI,CAAC,IAAI,QAAQ,SAAS,QAAQ;AAChC,UAAM,YAAY;AAAA,MAChB,YAAY;AAAA,MACZ,aAAa,AAAG;AAAA,MAChB,YAAY,CAAC,OAAO,AAAG,sBAAK,MAAM,AAAG,qBAAI,GAAG,OAAO,GAAG,AAAG,qBAAI,AAAG,qBAAI,GAAG,OAAO,GAAG,GAAG,OAAO,IAAI,GAAG,OAAO;AAAA;AAE3G,IAAG,gCAAe;AAClB,QAAI,QAAQ,KAAK;AAAA;AAEnB,MAAI,CAAC,IAAI,QAAQ,SAAS,aAAa;AACrC,UAAM,YAAY;AAAA,MAChB,YAAY;AAAA,MACZ,aAAa,AAAG;AAAA,MAChB,YAAY,CAAC,OAAO,AAAG,sBAAK,MAAM,AAAG,0BAAS,GAAG,OAAO,IAAI,GAAG,OAAO,KAAK,GAAG,OAAO,IAAI,AAAG,qBAAI,GAAG,OAAO,GAAG,GAAG,OAAO;AAAA;AAEzH,IAAG,gCAAe;AAClB,QAAI,QAAQ,KAAK;AAAA;AAAA;AAIrB,qBAA4B,UAAiB,QAAQ,OAAO;AAC1D,WAAS,QAAQ;AACjB,MAAI,SAAS,IAAI,WAAY,SAAS,OAAO,WAAY,SAAS,OAAO,QAAQ,SAAS,KAAO,AAAG,kCAAiB,SAAS,OAAO,SAAW;AAC9I,UAAM,YAAY;AAElB,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;AAAA;AAIjC,UAAI,IAAI,WAAW,SAAS,OAAO,YAAY,cAAc;AAC3D,YAAI,SAAS,OAAO;AAAO,cAAI;AAC/B,iBAAS,OAAO,UAAU;AAAA;AAE5B,UAAI,IAAI,QAAS,UAAS,OAAO,YAAY,WAAW,SAAS,OAAO,YAAY,YAAY;AAC9F,YAAI,SAAS,OAAO;AAAO,cAAI,4BAA4B,SAAS,OAAO;AAC3E,iBAAS,OAAO,UAAU;AAAA;AAI5B,UAAI,IAAI,WAAW,SAAS,OAAO,YAAY,UAAU;AACvD,YAAI,OAAO,cAAc,eAAe,OAAO,UAAU,WAAW,aAAa;AAC/E,cAAI;AACJ,mBAAS,OAAO,UAAU;AAAA,eACrB;AACL,gBAAM,UAAU,MAAM,UAAU,OAAO;AACvC,cAAI,SAAS,OAAO;AAAO,gBAAI,8BAA8B;AAAA;AAAA;AAKjE,UAAI,SAAS,OAAO,YAAY;AAAW,cAAM,AAAQ,SAAS;AAClE,YAAM,YAAY,OAAO,KAAK,AAAG,0BAAS;AAC1C,UAAI,SAAS,OAAO;AAAO,YAAI,uBAAuB;AAEtD,UAAI,CAAC,UAAU,SAAS,SAAS,OAAO,UAAU;AAChD,YAAI,kBAAkB,SAAS,OAAO;AACtC,iBAAS,OAAO,UAAU,IAAI,OAAO,eAAe;AACpD,YAAI,SAAS,OAAO;AAAO,cAAI,6BAA6B,SAAS,OAAO;AAAA;AAG9E,UAAI,SAAS,OAAO;AAAO,YAAI,oBAAoB,SAAS,OAAO;AAGnE,UAAI,SAAS,OAAO,YAAY,QAAQ;AACtC,YAAI,SAAS,OAAO;AAAO,cAAI,cAAc,SAAS,OAAO;AAC7D,YAAI,OAAO,sDAAI,kBAAiB;AAAa,gBAAM,AAAG,8BAAa,SAAS,OAAO;AAAA;AAC9E,gBAAM,IAAI,MAAM;AACrB,cAAM,OAAO,MAAM,AAAG,uBAAM,SAAS;AACrC,cAAM,KAAK,MAAM,AAAG,uBAAM,SAAS;AACnC,YAAI,SAAS,OAAO;AAAO,cAAI,mBAAmB,OAAO,SAAS,aAAa,KAAK,kBAAkB;AACtG,YAAI,SAAS,OAAO,SAAS,CAAC;AAAM,cAAI;AAAA;AAG1C,UAAI;AACF,cAAM,AAAG,4BAAW,SAAS,OAAO;AACpC,cAAM,AAAG;AAAA,eACF,KAAP;AACA,YAAI,8BAA8B,SAAS,OAAO,SAAS;AAC3D,eAAO;AAAA;AAAA;AAKX,QAAI,AAAG,kCAAiB,WAAW;AACjC,MAAG,qBAAI,IAAI,gCAAgC;AAC3C,MAAG,qBAAI,IAAI,qBAAqB;AAEhC,MAAG,qBAAI,IAAI,6BAA6B;AACxC,MAAG,qBAAI,IAAI,8BAA8B;AAEzC,UAAI,OAAO,SAAS,OAAO,kBAAkB,eAAe,SAAS,OAAO,eAAe;AACzF,YAAI,mDAAmD;AACvD,QAAG,qBAAI,IAAI,kCAAkC;AAAA;AAE/C,UAAI,AAAG,2BAAU,iBAAiB;AAChC,cAAM,KAAK,MAAM,AAAG,2BAAU,kBAAkB;AAChD,YAAI,SAAS,OAAO;AAAO,cAAI,cAAc,GAAG,aAAa,GAAG,qBAAqB,GAAG,aAAa,GAAG;AAAA;AAAA;AAK5G,QAAI,AAAG,kCAAiB,UAAU;AAAA;AAOlC,IAAG;AACH,UAAM,AAAG;AAET,aAAS,YAAY,cAAc,KAAK,MAAM,QAAQ;AACtD,aAAS,OAAO,UAAU,AAAG;AAE7B,UAAM,IAAI;AACV;AAAA;AAGF,SAAO;AAAA;AAIF,iBAAiB,aAA4B,SAAQ;AAE1D,aAAW,cAAc,aAAa;AACpC,UAAM,eAAe;AAAA,MACnB;AAAA,MACA,aAAa,QAAO;AAAA,MACpB,YAAY,MAAM;AAAE,YAAI,QAAO;AAAO,cAAI,cAAc,YAAY,QAAO;AAAA;AAAA;AAI7E,IAAG,gCAAe;AAAA;AAEpB,MAAI,UAAU,AAAG,sCAAqB,AAAG,+BAAc,IAAI,CAAC,WAAW,OAAO,WAAW;AAAA;;;ACjGpF,IAAM,WAAuB;AAAA,EAClC,OAAe;AAAA,EACf,YAAoB;AAAA,EACpB,aAAqB;AAAA,EACrB,MAAc;AAAA,EACd,YAAoB;AAAA,EACpB,WAAmB;AAAA,EACnB,WAAmB;AAAA,EACnB,WAAmB;AAAA,EACnB,YAAqB;AAAA,EACrB,YAAqB;AAAA,EACrB,WAAoB;AAAA,EACpB,cAAuB;AAAA,EACvB,cAAuB;AAAA,EACvB,UAAmB;AAAA,EACnB,cAAuB;AAAA,EACvB,UAAmB;AAAA,EACnB,WAAoB;AAAA;AAGtB,IAAI,WAAW;AAEf,IAAM,mBAAmB,CAAC,UAAU;AAClC,MAAI,SAAS,MAAM;AAAY,WAAO,MAAM,WAAW;AACvD,QAAM,IAAI,MAAM;AAAA;AAGlB,IAAM,UAAU,CAAC,UAAU,KAAK,MAAO,QAAQ,MAAO,KAAK;AAE3D,eAAe,KAA+B,GAAG,GAAG,GAAG,cAAc;AACnE,MAAI,KAAK;AACT,MAAI,YAAY,aAAa,YAAY,IAAI,QAAQ,QAAS,IAAI,MAAO,QAAS,IAAI,iBAAkB,aAAa;AACrH,MAAI;AACJ,MAAI,IAAI,GAAG,GAAG,aAAa,WAAW,GAAG,IAAI,KAAK;AAClD,MAAI;AAAA;AAGN,cAAc,KAA+B,GAAG,GAAG,OAAO,QAAQ,cAAc;AAC9E,MAAI;AACJ,MAAI,aAAa,WAAW;AAC1B,UAAM,KAAM,KAAI,IAAI,SAAS;AAC7B,UAAM,KAAM,KAAI,IAAI,UAAU;AAC9B,QAAI,QAAQ,IAAI,IAAI,QAAQ,GAAG,SAAS,GAAG,GAAG,GAAG,IAAI,KAAK;AAAA,SACrD;AACL,QAAI,YAAY,aAAa;AAC7B,QAAI,OAAO,IAAI,aAAa,WAAW;AACvC,QAAI,OAAO,IAAI,QAAQ,aAAa,WAAW;AAC/C,QAAI,iBAAiB,IAAI,OAAO,GAAG,IAAI,OAAO,IAAI,aAAa;AAC/D,QAAI,OAAO,IAAI,OAAO,IAAI,SAAS,aAAa;AAChD,QAAI,iBAAiB,IAAI,OAAO,IAAI,QAAQ,IAAI,QAAQ,aAAa,WAAW,IAAI;AACpF,QAAI,OAAO,IAAI,aAAa,WAAW,IAAI;AAC3C,QAAI,iBAAiB,GAAG,IAAI,QAAQ,GAAG,IAAI,SAAS,aAAa;AACjE,QAAI,OAAO,GAAG,IAAI,aAAa;AAC/B,QAAI,iBAAiB,GAAG,GAAG,IAAI,aAAa,WAAW;AACvD,QAAI;AAAA;AAEN,MAAI;AAAA;AAGN,eAAe,KAA+B,QAAiB,cAAc;AAC3E,MAAI,OAAO,SAAS;AAAG;AACvB,MAAI;AACJ,MAAI,OAAO,OAAO,GAAG,IAAI,OAAO,GAAG;AACnC,aAAW,MAAM,QAAQ;AACvB,UAAM,IAAI,GAAG,MAAM;AACnB,QAAI,cAAc,aAAa,YAAY,MAAM,IAAI,QAAQ,QAAS,IAAI,MAAO,QAAS,IAAI,iBAAkB,aAAa;AAC7H,QAAI,YAAY,aAAa,YAAY,MAAM,IAAI,QAAQ,QAAS,IAAI,MAAO,QAAS,IAAI,iBAAkB,aAAa;AAC3H,QAAI,OAAO,GAAG,IAAI,KAAK,MAAM,GAAG;AAAA;AAElC,MAAI;AACJ,MAAI,aAAa,cAAc;AAC7B,QAAI;AACJ,QAAI;AAAA;AAAA;AAIR,gBAAgB,KAA+B,QAAiB,cAAc;AAC5E,MAAI,OAAO,SAAS;AAAG;AACvB,MAAI,CAAC,aAAa,aAAa,OAAO,UAAU,GAAG;AACjD,UAAM,KAAK,QAAQ;AACnB;AAAA;AAEF,MAAI,OAAO,OAAO,GAAG,IAAI,OAAO,GAAG;AACnC,WAAS,IAAI,GAAG,IAAI,OAAO,SAAS,GAAG,KAAK;AAC1C,UAAM,KAAM,QAAO,GAAG,KAAK,OAAO,IAAI,GAAG,MAAM;AAC/C,UAAM,KAAM,QAAO,GAAG,KAAK,OAAO,IAAI,GAAG,MAAM;AAC/C,QAAI,iBAAiB,OAAO,GAAG,IAAI,OAAO,GAAG,IAAI,IAAI;AAAA;AAEvD,MAAI,iBAAiB,OAAO,OAAO,SAAS,GAAG,IAAI,OAAO,OAAO,SAAS,GAAG,IAAI,OAAO,OAAO,SAAS,GAAG,IAAI,OAAO,OAAO,SAAS,GAAG;AACzI,MAAI;AACJ,MAAI,aAAa,cAAc;AAC7B,QAAI;AACJ,QAAI;AAAA;AAAA;AAIR,eAAe,KAA+B,MAAa,IAAW,SAAS,GAAG;AAChF,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI,OAAO,KAAK,IAAI,KAAK;AACzB,MAAI,OAAO,GAAG,IAAI,GAAG;AACrB,UAAQ,KAAK,MAAM,GAAG,KAAK,KAAK,IAAI,GAAG,KAAK,KAAK;AACjD,MAAI,SAAS,KAAK,IAAI,SAAS,GAAG;AAClC,MAAI,SAAS,KAAK,IAAI,SAAS,GAAG;AAClC,MAAI,OAAO,GAAG;AACd,WAAU,IAAM,IAAQ,KAAI,KAAK;AACjC,MAAI,SAAS,KAAK,IAAI,SAAS,GAAG;AAClC,MAAI,SAAS,KAAK,IAAI,SAAS,GAAG;AAClC,MAAI,OAAO,GAAG;AACd,WAAU,IAAM,IAAQ,KAAI,KAAK;AACjC,MAAI,SAAS,KAAK,IAAI,SAAS,GAAG;AAClC,MAAI,SAAS,KAAK,IAAI,SAAS,GAAG;AAClC,MAAI,OAAO,GAAG;AACd,MAAI;AACJ,MAAI;AACJ,MAAI;AAAA;AAIN,uBAA8B,WAAqB,QAA8B,aAAoC;AACnH,QAAM,eAAe,UAAU,UAAS;AACxC,MAAI,CAAC,UAAU,CAAC;AAAU;AAC1B,MAAI,aAAa,cAAc;AAC7B,UAAM,MAAM,iBAAiB;AAC7B,QAAI,OAAO,aAAa;AACxB,QAAI,YAAY,aAAa;AAC7B,QAAI,IAAI;AACR,aAAS,IAAI,GAAG,IAAI,OAAO,QAAQ,KAAK;AACtC,UAAI,QAAmB;AACvB,UAAI,OAAkB;AACtB,OAAC,OAAO,QAAQ,OAAO,QAAQ,OAAO;AACtC,UAAK,KAAK,SAAS,KAAQ,KAAK,GAAc,SAAS,GAAI;AACzD,cAAM,MAAM,MAAM,KAAe,IAAI,IAAI,MAAM,OAAO;AACtD,cAAM,QAAQ,GAAG,MAAM,MAAM,QAAQ,KAAK;AAC1C,YAAI,aAAa,eAAe,aAAa,gBAAgB,IAAI;AAC/D,cAAI,YAAY,aAAa;AAC7B,cAAI,SAAS,OAAO,GAAG,IAAK,IAAI,aAAa;AAAA;AAE/C,YAAI,YAAY,aAAa;AAC7B,YAAI,SAAS,OAAO,GAAG,IAAK,IAAI,aAAa;AAC7C,aAAK;AAAA;AAAA;AAAA;AAAA;AAOb,oBAA2B,WAAqB,QAA2B,aAAoC;AAvM/G;AAwME,QAAM,eAAe,UAAU,UAAS;AACxC,MAAI,CAAC,UAAU,CAAC;AAAU;AAC1B,QAAM,MAAM,iBAAiB;AAC7B,aAAW,KAAK,QAAQ;AACtB,QAAI,OAAO,aAAa;AACxB,QAAI,cAAc,aAAa;AAC/B,QAAI,YAAY,aAAa;AAC7B,QAAI,aAAa;AAAW,WAAK,KAAK,EAAE,IAAI,IAAI,EAAE,IAAI,IAAI,EAAE,IAAI,IAAI,EAAE,IAAI,IAAI;AAC9E,QAAI,aAAa,YAAY;AAE3B,YAAM,UAAkB;AACxB,cAAO,KAAK,SAAS,KAAK,MAAM,MAAM,EAAE;AACxC,UAAI,EAAE;AAAa,gBAAO,KAAK,GAAG,EAAE,UAAU,MAAM,KAAK,MAAM,MAAM,EAAE;AACvE,UAAI,EAAE;AAAK,gBAAO,KAAK,QAAQ,EAAE,OAAO;AACxC,UAAI,EAAE;AAAM,gBAAO,KAAK,aAAa,EAAE;AACvC,UAAI,EAAE;AAAM,gBAAO,KAAK,SAAS,KAAK,MAAM,MAAM,EAAE;AACpD,UAAI,EAAE;AAAM,gBAAO,KAAK,SAAS,KAAK,MAAM,MAAM,EAAE;AACpD,UAAI,EAAE,WAAW,EAAE,QAAQ,SAAS,GAAG;AACrC,cAAM,WAAU,EAAE,QAAQ,IAAI,CAAC,MAAM,GAAG,KAAK,MAAM,MAAM,EAAE,WAAW,EAAE;AACxE,YAAI,SAAQ,SAAS;AAAG,mBAAQ,SAAS;AACzC,gBAAO,KAAK,SAAQ,KAAK;AAAA;AAE3B,UAAI,EAAE,YAAY,EAAE,SAAS,SAAS,EAAE,SAAS,MAAM;AACrD,YAAI,EAAE,SAAS,MAAM;AAAM,kBAAO,KAAK,SAAS,QAAQ,EAAE,SAAS,MAAM,iBAAc,QAAQ,EAAE,SAAS,MAAM,kBAAe,QAAQ,EAAE,SAAS,MAAM;AACxJ,YAAI,EAAE,SAAS,KAAK;AAAS,kBAAO,KAAK,SAAS,QAAQ,EAAE,SAAS,KAAK;AAAA;AAE5E,UAAI,QAAO,WAAW;AAAG,gBAAO,KAAK;AACrC,UAAI,YAAY,aAAa;AAC7B,eAAS,IAAI,QAAO,SAAS,GAAG,KAAK,GAAG,KAAK;AAC3C,cAAM,IAAI,KAAK,IAAI,EAAE,IAAI,IAAI;AAC7B,cAAM,IAAI,IAAI,aAAa,aAAa,EAAE,IAAI;AAC9C,YAAI,aAAa,eAAe,aAAa,gBAAgB,IAAI;AAC/D,cAAI,YAAY,aAAa;AAC7B,cAAI,SAAS,QAAO,IAAI,IAAI,GAAG,IAAI;AAAA;AAErC,YAAI,YAAY,aAAa;AAC7B,YAAI,SAAS,QAAO,IAAI,IAAI,GAAG,IAAI;AAAA;AAAA;AAGvC,QAAI,YAAY;AAChB,QAAI,EAAE,QAAQ,EAAE,KAAK,SAAS,GAAG;AAC/B,UAAI,aAAa,YAAY;AAC3B,mBAAW,MAAM,EAAE;AAAM,gBAAM,KAAK,GAAG,IAAI,GAAG,IAAI,GAAG,IAAI;AAAA;AAE3D,UAAI,aAAa,cAAc;AAC7B,YAAI,YAAY;AAChB,YAAI,EAAE,KAAK,SAAS,KAAK;AACvB,mBAAS,IAAI,GAAG,IAAI,OAAc,SAAS,GAAG,KAAK;AACjD,kBAAM,SAAS;AAAA,cACb,OAAc,IAAI,IAAI;AAAA,cACtB,OAAc,IAAI,IAAI;AAAA,cACtB,OAAc,IAAI,IAAI;AAAA,cACtB,IAAI,CAAC,WAAU,EAAE,KAAK;AACxB,kBAAM,KAAK,QAAQ;AAAA;AAAA;AAIvB,YAAI,EAAE,eAAe,EAAE,YAAY,kBAAkB,EAAE,YAAY,eAAe,IAAI;AACpF,cAAI,cAAc,aAAa,WAAW,6BAA6B,aAAa;AACpF,cAAI;AACJ,gBAAM,QAAQ,KAAK,IAAI,EAAE,YAAY,eAAe,GAAG,KAAK,EAAE,YAAY,eAAe,GAAG,MAAM;AAClG,gBAAM,QAAQ,KAAK,IAAI,EAAE,YAAY,eAAe,GAAG,KAAK,EAAE,YAAY,eAAe,GAAG,MAAM;AAClG,cAAI,QAAQ,EAAE,YAAY,eAAe,GAAG,IAAI,EAAE,YAAY,eAAe,GAAG,IAAI,OAAO,OAAO,GAAG,GAAG,IAAI,KAAK;AACjH,cAAI;AACJ,cAAI,aAAa,cAAc;AAC7B,gBAAI,YAAY,aAAa,WAAW,6BAA6B,aAAa;AAClF,gBAAI;AAAA;AAAA;AAGR,YAAI,EAAE,eAAe,EAAE,YAAY,mBAAmB,EAAE,YAAY,gBAAgB,IAAI;AACtF,cAAI,cAAc,aAAa,WAAW,6BAA6B,aAAa;AACpF,cAAI;AACJ,gBAAM,QAAQ,KAAK,IAAI,EAAE,YAAY,gBAAgB,GAAG,KAAK,EAAE,YAAY,gBAAgB,GAAG,MAAM;AACpG,gBAAM,QAAQ,KAAK,IAAI,EAAE,YAAY,gBAAgB,GAAG,KAAK,EAAE,YAAY,gBAAgB,GAAG,MAAM;AACpG,cAAI,QAAQ,EAAE,YAAY,gBAAgB,GAAG,IAAI,EAAE,YAAY,gBAAgB,GAAG,IAAI,OAAO,OAAO,GAAG,GAAG,IAAI,KAAK;AACnH,cAAI;AACJ,cAAI,aAAa,cAAc;AAC7B,gBAAI,YAAY,aAAa,WAAW,6BAA6B,aAAa;AAClF,gBAAI;AAAA;AAAA;AAGR,YAAI,aAAa,YAAY,SAAE,aAAF,mBAAY,UAAS,OAAO,WAAW,aAAa;AAC/E,cAAI,cAAc;AAClB,gBAAM,OAAQ,EAAE,IAAI,KAAK,EAAE,IAAI,KAAK,IAAM,EAAE,IAAI,KAAK,QAAQ,EAAE,SAAS,MAAM,OAAO;AACrF,gBAAM,OAAQ,EAAE,IAAI,KAAK,EAAE,IAAI,KAAK,IAAM,EAAE,IAAI,KAAK,QAAQ,EAAE,SAAS,MAAM,SAAS;AACvF,gBAAM,QAAQ,IAAI,OAAO;AAAA,gBACnB,EAAE,IAAI,KAAK,EAAE,IAAI,KAAK,KAAK,EAAE,IAAI;AAAA;AAAA,gBAEjC,QAAQ,EAAE,IAAI;AAAA,gBACd,QAAQ,EAAE,IAAI,KAAK,EAAE,IAAI;AAAA,gBACzB,EAAE,IAAI,KAAK,EAAE,IAAI,KAAK,KAAK,EAAE,IAAI,KAAK,EAAE,IAAI;AAAA;AAElD,gBAAM,QAAQ,IAAI,OAAO;AAAA,gBACnB,EAAE,IAAI,MAAM,EAAE,IAAI,KAAK,EAAE,IAAI,KAAK;AAAA;AAAA,gBAElC,EAAE,IAAI,MAAM;AAAA,gBACZ,EAAE,IAAI,KAAK,EAAE,IAAI,MAAM;AAAA,gBACvB,EAAE,IAAI,KAAK,EAAE,IAAI,MAAM,EAAE,IAAI,KAAK,EAAE,IAAI,KAAK;AAAA;AAEnD,cAAI,OAAO;AACX,cAAI,OAAO;AAAA;AAEb,YAAI,aAAa,YAAY,eAAE,aAAF,mBAAY,SAAZ,mBAAkB,aAAY,eAAE,aAAF,mBAAY,SAAZ,mBAAkB,YAAW,EAAE,YAAY,kBAAkB,EAAE,YAAY,mBAAmB,EAAE,YAAY,eAAe,MAAM,EAAE,YAAY,gBAAgB,IAAI;AAC5N,cAAI,cAAc;AAClB,cAAI,YAAY;AAChB,gBAAM,WAAW;AAAA,YACf,EAAE,YAAY,eAAe,GAAG,KAAM,KAAK,IAAI,EAAE,SAAS,KAAK,WAAW,EAAE,SAAS,KAAK,WAAW,EAAE,IAAI;AAAA,YAC3G,EAAE,YAAY,eAAe,GAAG,KAAM,KAAK,IAAI,EAAE,SAAS,KAAK,WAAW,EAAE,SAAS,KAAK,WAAW,EAAE,IAAI;AAAA;AAE7G,gBAAM,KAAK,CAAC,EAAE,YAAY,eAAe,GAAG,IAAI,EAAE,YAAY,eAAe,GAAG,KAAK,CAAC,SAAS,IAAI,SAAS,KAAK;AACjH,gBAAM,YAAY;AAAA,YAChB,EAAE,YAAY,gBAAgB,GAAG,KAAM,KAAK,IAAI,EAAE,SAAS,KAAK,WAAW,EAAE,SAAS,KAAK,WAAW,EAAE,IAAI;AAAA,YAC5G,EAAE,YAAY,gBAAgB,GAAG,KAAM,KAAK,IAAI,EAAE,SAAS,KAAK,WAAW,EAAE,SAAS,KAAK,WAAW,EAAE,IAAI;AAAA;AAE9G,gBAAM,KAAK,CAAC,EAAE,YAAY,gBAAgB,GAAG,IAAI,EAAE,YAAY,gBAAgB,GAAG,KAAK,CAAC,UAAU,IAAI,UAAU,KAAK;AAAA;AAAA;AAAA;AAAA;AAAA;AAQ/H,oBAA2B,WAAqB,QAA2B,aAAoC;AAlU/G;AAmUE,QAAM,eAAe,UAAU,UAAS;AACxC,MAAI,CAAC,UAAU,CAAC;AAAU;AAC1B,QAAM,MAAM,iBAAiB;AAC7B,MAAI,WAAW;AACf,WAAS,IAAI,GAAG,IAAI,OAAO,QAAQ,KAAK;AACtC,QAAI,cAAc,aAAa;AAC/B,QAAI,YAAY,aAAa;AAC7B,QAAI,YAAY,aAAa;AAC7B,QAAI,OAAO,aAAa;AACxB,QAAI,aAAa,aAAa,OAAO,GAAG,OAAO,cAAO,GAAG,QAAV,mBAAe,YAAW,GAAG;AAC1E,WAAK,KAAK,OAAO,GAAG,IAAI,IAAI,OAAO,GAAG,IAAI,IAAI,OAAO,GAAG,IAAI,IAAI,OAAO,GAAG,IAAI,IAAI;AAClF,UAAI,aAAa,YAAY;AAC3B,YAAI,aAAa,eAAe,aAAa,gBAAgB,IAAI;AAC/D,cAAI,YAAY,aAAa;AAC7B,cAAI,SAAS,QAAQ,MAAM,OAAO,GAAG,UAAU,OAAO,GAAG,IAAI,KAAK,GAAG,IAAI,OAAO,GAAG,IAAI,KAAK,aAAa,YAAY,OAAO,GAAG,IAAI;AAAA;AAErI,YAAI,YAAY,aAAa;AAC7B,YAAI,SAAS,QAAQ,MAAM,OAAO,GAAG,UAAU,OAAO,GAAG,IAAI,KAAK,GAAG,IAAI,OAAO,GAAG,IAAI,KAAK,aAAa,YAAY,OAAO,GAAG,IAAI;AAAA;AAAA;AAGvI,QAAI,aAAa,cAAc,OAAO,GAAG,WAAW;AAClD,eAAS,KAAK,GAAG,KAAK,OAAO,GAAG,UAAU,QAAQ,MAAM;AACtD,YAAI,YAAY,aAAa,YAAY,OAAO,GAAG,UAAU,IAAI,SAAS,KAAK,QAAQ,QAAS,IAAK,QAAO,GAAG,UAAU,IAAI,SAAS,MAAM,OAAQ,QAAS,IAAK,QAAO,GAAG,UAAU,IAAI,SAAS,MAAM,kBAAmB,aAAa;AACzO,cAAM,KAAK,OAAO,GAAG,UAAU,IAAI,SAAS,IAAI,OAAO,GAAG,UAAU,IAAI,SAAS,IAAI,GAAG;AAAA;AAAA;AAG5F,QAAI,aAAa,cAAc,OAAO,GAAG,WAAW;AAClD,UAAI,OAAO,aAAa;AACxB,iBAAW,MAAM,OAAO,GAAG,WAAW;AACpC,YAAI,YAAY,aAAa,YAAY,GAAG,SAAS,KAAK,QAAQ,QAAS,IAAI,GAAG,SAAS,OAAQ,QAAS,IAAI,GAAG,SAAS,kBAAmB,aAAa;AAC5J,YAAI,SAAS,GAAG,GAAG,QAAQ,KAAK,MAAM,MAAM,GAAG,WAAW,GAAG,SAAS,KAAK,GAAG,GAAG,SAAS,KAAK;AAAA;AAAA;AAGnG,QAAI,aAAa,gBAAgB,OAAO,GAAG,aAAa,OAAO,GAAG,aAAa;AAC7E,iBAAW,QAAQ,OAAO,OAAO,OAAO,GAAG,cAAc;AACvD,mBAAW,cAAa;AAAM,iBAAO,KAAK,YAAW;AAAA;AAAA;AAAA;AAAA;AAO7D,oBAA2B,WAAqB,QAA2B,aAAoC;AAC7G,QAAM,eAAe,UAAU,UAAS;AACxC,MAAI,CAAC,UAAU,CAAC;AAAU;AAC1B,QAAM,MAAM,iBAAiB;AAC7B,MAAI,WAAW;AACf,MAAI,OAAO,aAAa;AACxB,aAAW,KAAK,QAAQ;AACtB,QAAI,aAAa,WAAW;AAC1B,UAAI,cAAc,aAAa;AAC/B,UAAI,YAAY,aAAa;AAC7B,WAAK,KAAK,EAAE,IAAI,IAAI,EAAE,IAAI,IAAI,EAAE,IAAI,IAAI,EAAE,IAAI,IAAI;AAClD,UAAI,aAAa,YAAY;AAC3B,YAAI,aAAa,eAAe,aAAa,gBAAgB,IAAI;AAC/D,cAAI,YAAY,aAAa;AAC7B,cAAI,SAAS,QAAQ,KAAK,MAAM,MAAM,EAAE,WAAW,EAAE,IAAI,KAAK,GAAG,IAAI,EAAE,IAAI,KAAK,aAAa,YAAY,EAAE,IAAI;AAAA;AAEjH,YAAI,YAAY,aAAa;AAC7B,YAAI,SAAS,QAAQ,KAAK,MAAM,MAAM,EAAE,WAAW,EAAE,IAAI,KAAK,GAAG,IAAI,EAAE,IAAI,KAAK,aAAa,YAAY,EAAE,IAAI;AAAA;AAEjH,UAAI;AAAA;AAEN,QAAI,aAAa,YAAY;AAC3B,UAAI,EAAE,aAAa,EAAE,UAAU,SAAS,GAAG;AACzC,mBAAW,MAAM,EAAE,WAAW;AAC5B,cAAI,YAAY,aAAa,WAAW,QAAQ,QAAS,IAAK,IAAG,MAAM,OAAQ,QAAS,IAAK,IAAG,MAAM,kBAAmB,aAAa;AACtI,gBAAM,KAAK,GAAG,IAAI,GAAG,IAAI,GAAG;AAAA;AAAA;AAAA;AAIlC,QAAI,aAAa,cAAc,EAAE,aAAa;AAC5C,YAAM,eAAe,CAAC,MAAM,UAAU;AACpC,YAAI,CAAC,QAAQ,KAAK,WAAW,KAAK,CAAC,KAAK;AAAI;AAC5C,YAAI,YAAY,aAAa,WAAW,QAAQ,QAAS,IAAI,KAAK,KAAK,SAAS,GAAG,OAAQ,QAAS,IAAI,KAAK,KAAK,SAAS,GAAG,kBAAmB,aAAa;AAC9J,YAAI,SAAS,OAAO,KAAK,KAAK,SAAS,GAAG,KAAK,GAAG,KAAK,KAAK,SAAS,GAAG,KAAK;AAAA;AAE/E,UAAI,OAAO,aAAa;AACxB,mBAAa,EAAE,YAAY,UAAU;AACrC,mBAAa,EAAE,YAAY,WAAW;AACtC,mBAAa,EAAE,YAAY,SAAS;AACpC,mBAAa,EAAE,YAAY,UAAU;AACrC,mBAAa,EAAE,YAAY,UAAU;AACrC,mBAAa,EAAE,YAAY,SAAS;AAAA;AAEtC,QAAI,aAAa,gBAAgB,EAAE,aAAa;AAC9C,YAAM,cAAc,CAAC,SAAS;AAC5B,YAAI,CAAC,QAAQ,KAAK,WAAW,KAAK,CAAC,KAAK;AAAI;AAC5C,iBAAS,IAAI,GAAG,IAAI,KAAK,QAAQ,KAAK;AACpC,cAAI;AACJ,cAAI,cAAc,aAAa,WAAW,QAAQ,QAAS,IAAI,KAAK,GAAG,OAAQ,QAAS,IAAI,KAAK,GAAG,kBAAmB,aAAa;AACpI,cAAI,OAAO,KAAK,IAAI,IAAI,IAAI,IAAI,GAAG,IAAI,KAAK,IAAI,IAAI,IAAI,IAAI,GAAG;AAC/D,cAAI,OAAO,KAAK,GAAG,IAAI,KAAK,GAAG;AAC/B,cAAI;AAAA;AAAA;AAGR,UAAI,YAAY,aAAa;AAC7B,kBAAY,EAAE,YAAY;AAC1B,kBAAY,EAAE,YAAY;AAC1B,kBAAY,EAAE,YAAY;AAC1B,kBAAY,EAAE,YAAY;AAC1B,kBAAY,EAAE,YAAY;AAAA;AAAA;AAAA;AAOhC,sBAA6B,WAAqB,QAA6B,aAAoC;AACjH,QAAM,eAAe,UAAU,UAAS;AACxC,MAAI,CAAC,UAAU,CAAC;AAAU;AAC1B,QAAM,MAAM,iBAAiB;AAC7B,MAAI,WAAW;AACf,MAAI,OAAO,aAAa;AACxB,aAAW,KAAK,QAAQ;AACtB,QAAI,aAAa,WAAW;AAC1B,UAAI,cAAc,aAAa;AAC/B,UAAI,YAAY,aAAa;AAC7B,WAAK,KAAK,EAAE,IAAI,IAAI,EAAE,IAAI,IAAI,EAAE,IAAI,IAAI,EAAE,IAAI,IAAI;AAClD,UAAI,aAAa,YAAY;AAC3B,cAAM,QAAQ,GAAG,EAAE,SAAS,KAAK,MAAM,MAAM,EAAE;AAC/C,YAAI,aAAa,eAAe,aAAa,gBAAgB,IAAI;AAC/D,cAAI,YAAY,aAAa;AAC7B,cAAI,SAAS,OAAO,EAAE,IAAI,KAAK,GAAG,IAAI,EAAE,IAAI,KAAK,aAAa,YAAY,EAAE,IAAI;AAAA;AAElF,YAAI,YAAY,aAAa;AAC7B,YAAI,SAAS,OAAO,EAAE,IAAI,KAAK,GAAG,IAAI,EAAE,IAAI,KAAK,aAAa,YAAY,EAAE,IAAI;AAAA;AAElF,UAAI;AAAA;AAAA;AAAA;AAMV,sBAA6B,WAAqB,QAA6B,aAAoC;AACjH,QAAM,eAAe,UAAU,UAAS;AACxC,MAAI,CAAC,UAAU,CAAC;AAAU;AAC1B,QAAM,MAAM,iBAAiB;AAC7B,MAAI,WAAW;AACf,MAAI,OAAO,aAAa;AAExB,WAAS,IAAI,GAAG,IAAI,OAAO,QAAQ,KAAK;AACtC,QAAI,aAAa,WAAW;AAC1B,UAAI,cAAc,aAAa;AAC/B,UAAI,YAAY,aAAa;AAC7B,WAAK,KAAK,OAAO,GAAG,IAAI,IAAI,OAAO,GAAG,IAAI,IAAI,OAAO,GAAG,IAAI,IAAI,OAAO,GAAG,IAAI,IAAI;AAClF,UAAI,aAAa,YAAY;AAC3B,cAAM,QAAQ,WAAW;AACzB,YAAI,aAAa,eAAe,aAAa,gBAAgB,IAAI;AAC/D,cAAI,YAAY,aAAa;AAC7B,cAAI,SAAS,OAAO,OAAO,GAAG,IAAI,KAAK,GAAG,IAAI,OAAO,GAAG,IAAI,KAAK,aAAa,YAAY,OAAO,GAAG,IAAI;AAAA;AAE1G,YAAI,YAAY,aAAa;AAC7B,YAAI,SAAS,OAAO,OAAO,GAAG,IAAI,KAAK,GAAG,IAAI,OAAO,GAAG,IAAI,KAAK,aAAa,YAAY,OAAO,GAAG,IAAI;AAAA;AAE1G,UAAI;AAAA;AAAA;AAAA;AAMV,uBAA6B,OAA2E,QAA2B;AACjI,MAAI,CAAC,SAAS,CAAC;AAAQ;AACvB,QAAM,MAAM,iBAAiB;AAC7B,MAAI,UAAU,OAAO,GAAG;AAAA;AAM1B,mBAA0B,WAAqB,QAAgB,aAAoC;AACjG,MAAI,CAAC,UAAU,CAAC,OAAO,eAAe,CAAC,UAAU,CAAC;AAAU,WAAO;AACnE,QAAM,YAAY;AAClB,QAAM,eAAe,UAAU,UAAS;AACxC,QAAM,UAAU,QAAQ,IAAI;AAAA,IAC1B,KAAK,WAAU,OAAO,MAAM;AAAA,IAC5B,KAAK,WAAU,OAAO,MAAM;AAAA,IAC5B,KAAK,WAAU,OAAO,MAAM;AAAA,IAC5B,OAAO,WAAU,OAAO,QAAQ;AAAA,IAChC,QAAQ,WAAU,OAAO,SAAS;AAAA;AAGpC,aAAW,IAAI,UAAU,WAAW,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AACvF,SAAO,YAAY,OAAO;AAC1B,SAAO;AAAA;;;ACtfT,IAAM,aAAa;AACnB,IAAM,QAAQ;AAGd,oBAAoB,GAAW,GAAW,SAAmD;AAC3F,MAAI,SAAS;AACb,MAAI,IAAI,QAAQ,SAAS;AACzB,WAAS,IAAI,GAAG,IAAI,QAAQ,QAAQ,IAAI,KAAK;AAC3C,QAAM,QAAQ,GAAG,IAAI,MAAQ,QAAQ,GAAG,IAAI,KAAQ,IAAK,SAAQ,GAAG,IAAI,QAAQ,GAAG,KAAM,KAAI,QAAQ,GAAG,KAAM,SAAQ,GAAG,IAAI,QAAQ,GAAG,KAAK,QAAQ,GAAG;AAAI,eAAS,CAAC;AAAA;AAExK,SAAO;AAAA;AAGT,oBAA2B,OAA+C;AACxE,MAAI,CAAC,MAAK;AAAQ,WAAO,MAAK;AAC9B,QAAM,QAAQ,MAAK,OAAO,MAAM,MAAM;AACtC,QAAM,SAAS,MAAK,OAAO,MAAM,MAAM;AACvC,QAAM,SAAS,MAAM,MAAK,OAAO;AACjC,MAAI,aAA8C;AAClD,aAAW,MAAM,gBAAgB;AAAY,eAAW,KAAK,EAAE,GAAI,OAAK,KAAK,IAAI,KAAK,MAAK,IAAI,MAAM,MAAK,IAAI,IAAI,GAAI,OAAK,KAAK,IAAI,KAAK,MAAK,IAAI,MAAM,MAAK,IAAI;AACjK,MAAI,cAAc,aAAa;AAAG,iBAAa,WAAW,IAAI,CAAC,OAAQ,GAAE,GAAG,GAAG,IAAI,MAAM,GAAG,IAAI,aAAa,GAAG,IAAI,YAAY,GAAG,GAAG,IAAI,MAAM,GAAG,IAAI,aAAa,GAAG,IAAI;AAC3K,WAAS,IAAI,GAAG,IAAI,OAAO,KAAK;AAC9B,aAAS,IAAI,GAAG,IAAI,QAAQ,KAAK;AAC/B,YAAM,SAAS,WAAW,IAAI,OAAO,IAAI,OAAO;AAChD,UAAI,CAAC,QAAQ;AACX,eAAO,IAAI,QAAQ,OAAO,IAAI,GAAG,GAAG,GAAG,IAAI,GAAG,GAAG,GAAG;AACpD,eAAO,IAAI,QAAQ,OAAO,IAAI,GAAG,GAAG,GAAG,IAAI,GAAG,GAAG,GAAG;AACpD,eAAO,IAAI,QAAQ,OAAO,IAAI,GAAG,GAAG,GAAG,IAAI,GAAG,GAAG,GAAG;AAAA;AAAA;AAAA;AAI1D,QAAM,SAAS,OAAO;AACtB,EAAG,yBAAQ;AACX,SAAO;AAAA;;;ACnCT,IAAM,gBAAgB,CAAC,UAAgD;AACrE,QAAM,UAAU,CAAC,KAAK,QAAQ,KAAK,MAAM,IAAI,KAAK,IAAI,IAAI,IAAI,KAAK,IAAI;AACvE,MAAI,CAAC,MAAK,YAAY,mBAAmB,CAAC,MAAK,YAAY;AAAgB,WAAO,EAAE,SAAS,GAAG,UAAU;AAE1G,QAAM,aAAa,CAAC,GAAG;AACvB,QAAM,WAAW;AAEjB,QAAM,OAAO,MAAK,KAAK,IAAI,KAAK,MAAK,KAAK,KAAK;AAC/C,QAAM,aAAa,OAAO,MAAK,KAAK,OAAO,MAAK,KAAK;AACrD,QAAM,YAAY,OACd,CAAE,OAAK,KAAK,KAAK,KAAK,MAAK,KAAK,IAAI,MAAM,GAAI,OAAK,KAAK,KAAK,KAAK,MAAK,KAAK,IAAI,MAAM,KACtF,CAAE,OAAK,KAAK,KAAK,KAAK,MAAK,KAAK,KAAK,MAAM,GAAI,OAAK,KAAK,KAAK,KAAK,MAAK,KAAK,KAAK,MAAM;AAC5F,QAAM,UAAU,OACZ,CAAC,MAAK,KAAK,KAAK,KAAK,MAAK,KAAK,IAAI,IAAI,MAAK,KAAK,IAAI,KAAK,MAAK,KAAK,IAAI,MACxE,CAAC,MAAK,KAAK,KAAK,KAAK,MAAK,KAAK,KAAK,IAAI,MAAK,KAAK,KAAK,KAAK,MAAK,KAAK,KAAK;AAE/E,QAAM,UAAU;AAAA,IACb,WAAU,KAAK,WAAW,MAAM,QAAQ,KAAK,WAAW;AAAA,IACzD,WAAY,YAAW,KAAK,UAAU,MAAM,QAAQ,KAAK,WAAW;AAAA;AAEtE,MAAI,WAAW,KAAK,KAAM,QAAQ,MAAM,IAAM,QAAQ,MAAM;AAC5D,aAAW,KAAK,IAAI,UAAU,MAAK,OAAO,KAAK,GAAG,MAAK,OAAO,KAAK;AACnE,QAAM,UAAW,SAAQ,CAAC,GAAG,IAAI,WAAY,KAAK,KAAK,KAAM,KAAK;AAElE,SAAO,EAAE,SAAS;AAAA;AAGb,IAAM,qBAAqB,CAAC,OAAM,cAIpC;AAEH,QAAM,YAAY,CAAC,MAAM;AACvB,UAAM,SAAS,KAAK,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE;AAC9D,MAAE,MAAM;AACR,MAAE,MAAM;AACR,MAAE,MAAM;AACR,WAAO;AAAA;AAET,QAAM,aAAa,CAAC,GAAG,MAAM;AAC3B,UAAM,IAAI,EAAE,KAAK,EAAE;AACnB,UAAM,IAAI,EAAE,KAAK,EAAE;AACnB,UAAM,IAAI,EAAE,KAAK,EAAE;AACnB,WAAO,CAAC,GAAG,GAAG;AAAA;AAEhB,QAAM,eAAe,CAAC,GAAG,MAAM;AAC7B,UAAM,IAAI,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE;AACjC,UAAM,IAAI,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE;AACjC,UAAM,IAAI,EAAE,KAAK,EAAE,KAAK,EAAE,KAAK,EAAE;AACjC,WAAO,CAAC,GAAG,GAAG;AAAA;AAGhB,QAAM,6BAA6B,CAAC,MAAM;AAExC,UAAM,CAAC,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,KAAK,OAAO;AACtD,QAAI;AACJ,QAAI;AACJ,QAAI;AACJ,QAAI,MAAM,GAAG;AACX,UAAI,MAAM,IAAI;AACZ,iBAAS,KAAK,KAAK;AACnB,iBAAS,KAAK,MAAM,CAAC,KAAK;AAC1B,iBAAS,KAAK,MAAM,CAAC,KAAK;AAAA,aACrB;AACL,iBAAS,CAAC,KAAK,KAAK;AACpB,iBAAS,CAAC,KAAK,MAAM,KAAK;AAC1B,iBAAS;AAAA;AAAA,WAEN;AACL,eAAS,KAAK,KAAK;AACnB,eAAS,KAAK,MAAM,KAAK;AACzB,eAAS;AAAA;AAEX,QAAI,MAAM;AAAS,eAAS;AAC5B,QAAI,MAAM;AAAS,eAAS;AAC5B,QAAI,MAAM;AAAS,eAAS;AAC5B,WAAO,EAAE,OAAO,IAAI,CAAC,QAAQ,KAAK,IAAI,CAAC,QAAQ,MAAM,IAAI,CAAC;AAAA;AAI5D,QAAM,mBAAmB,CAAC,UAAS;AACjC,UAAM,UAAU,CAAC,IAAI,IAAI,IAAI,OAAO,KAAK,MAAM,KAAK,IAAI,KAAK;AAE7D,UAAM,SAAQ;AAAA,MAGZ,OAAO,QAAQ,MAAK,IAAI,IAAI,MAAK,IAAI,IAAI,MAAK,KAAK,IAAI,MAAK,KAAK;AAAA,MAEjE,KAAK,QAAQ,MAAK,IAAI,IAAI,MAAK,IAAI,IAAI,MAAK,KAAK,IAAI,MAAK,KAAK;AAAA,MAE/D,MAAM,QAAQ,MAAK,IAAI,IAAI,MAAK,IAAI,IAAI,MAAK,KAAK,IAAI,MAAK,KAAK;AAAA;AAElE,WAAO;AAAA;AAIT,QAAM,OAAO,MAAK;AAClB,MAAI,CAAC,QAAQ,KAAK,SAAS;AAAK,WAAO,EAAE,OAAO,EAAE,OAAO,GAAG,KAAK,GAAG,MAAM,KAAK,QAAQ,CAAC,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,IAAI,MAAM,EAAE,SAAS,GAAG,UAAU;AAElJ,QAAM,QAAO,KAAK,IAAI,MAAK,OAAO,KAAK,UAAU,IAAI,MAAK,OAAO,KAAK,UAAU,MAAM;AAEtF,QAAM,MAAM,CAAC,KAAK,KAAK,KAAK,MAAM,KAAK,MAAM,KAAK,MAAM,IAAI,CAAC,OAAO;AAAA,IAElE,GAAG,KAAK,UAAU,KAAK;AAAA,IACvB,GAAG,KAAK,UAAU,KAAK;AAAA,IACvB,GAAG;AAAA;AAGL,QAAM,SAAS,UAAU,WAAW,IAAI,IAAI,IAAI;AAChD,MAAI,SAAS,UAAU,WAAW,IAAI,IAAI,IAAI;AAC9C,QAAM,SAAS,UAAU,aAAa,QAAQ;AAE9C,WAAS,aAAa,QAAQ;AAI9B,QAAM,SAAmF;AAAA,IACvF,OAAO;AAAA,IAAI,OAAO;AAAA,IAAI,OAAO;AAAA,IAC7B,OAAO;AAAA,IAAI,OAAO;AAAA,IAAI,OAAO;AAAA,IAC7B,OAAO;AAAA,IAAI,OAAO;AAAA,IAAI,OAAO;AAAA;AAE/B,QAAM,QAAQ,2BAA2B;AAIzC,QAAM,OAAO,KAAK,WAAW,MAAM,cAAc,SAAQ,EAAE,SAAS,GAAG,UAAU;AAEjF,SAAO,EAAE,OAAO,QAAQ;AAAA;;;AChHnB,IAAM,aAAa,OAAO,QAAuC,UAAyC;AAnBjH;AAsBE,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,MAAI;AACJ,QAAM,UAA6B;AACnC,SAAO,QAAQ;AACf,cAAY;AAEZ,QAAM,QAAQ,MAAM,AAAS,SAAQ,OAAO,OAAO;AACnD,SAAO,YAAY,OAAO,IAAI,UAAW,QAAO,YAAY,QAAQ,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAC5H,MAAI,CAAC,MAAM,SAAS,MAAM,MAAM,WAAW;AAAG,WAAO;AACrD,MAAI,CAAC;AAAO,WAAO;AAEnB,WAAS,IAAI,GAAG,IAAI,MAAM,QAAQ,KAAK;AACrC,WAAO,QAAQ;AAIf,QAAI,CAAC,MAAM,GAAG,UAAU,MAAM,GAAG,OAAO,uBAAuB;AAC7D,UAAI,4BAA4B,MAAM,GAAG;AACzC;AAAA;AAIF,QAAI,aAAO,OAAO,KAAK,aAAnB,mBAA6B,MAAM;AACrC,YAAM,SAAS,MAAM,AAAK,KAAK,MAAM;AACrC,MAAG,yBAAQ,MAAM,GAAG;AACpB,YAAM,GAAG,SAAS;AAAA;AAIpB,UAAM,WAAW,MAAM,GAAG,QAAS,MAAM,GAAG,KAAK,SAAS,MAAO,mBAAmB,MAAM,IAAI,CAAC,MAAM,MAAM,IAAI,MAAM,MAAM,OAAO;AAGlI,WAAO,QAAQ;AACf,QAAI,OAAO,OAAO,OAAO;AACvB,mBAAa,cAAO,OAAO,KAAK,YAAnB,mBAA4B,WAAU,AAAQ,SAAQ,MAAM,GAAG,UAAU,AAAG,wBAAO,KAAK,OAAO,QAAQ,GAAG,MAAM,UAAU;AAAA,WAClI;AACL,aAAO,QAAQ;AACf,kBAAY;AACZ,mBAAa,cAAO,OAAO,KAAK,YAAnB,mBAA4B,WAAU,MAAM,AAAQ,SAAQ,MAAM,GAAG,UAAU,AAAG,wBAAO,KAAK,OAAO,QAAQ,GAAG,MAAM,UAAU;AAC7I,aAAO,YAAY,UAAU,IAAI,UAAW,QAAO,YAAY,WAAW,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAAA;AAEpI,WAAO,QAAQ;AAGf,WAAO,QAAQ;AACf,QAAI,OAAO,OAAO,OAAO;AACvB,qBAAe,cAAO,OAAO,KAAK,cAAnB,mBAA8B,WAAU,AAAU,QAAQ,MAAM,GAAG,UAAU,AAAG,wBAAO,KAAK,OAAO,QAAQ,GAAG,MAAM,UAAU;AAAA,WACxI;AACL,aAAO,QAAQ;AACf,kBAAY;AACZ,qBAAe,cAAO,OAAO,KAAK,cAAnB,mBAA8B,WAAU,MAAM,AAAU,QAAQ,MAAM,GAAG,UAAU,AAAG,wBAAO,KAAK,OAAO,QAAQ,GAAG,MAAM,UAAU;AACnJ,aAAO,YAAY,YAAY,IAAI,UAAW,QAAO,YAAY,aAAa,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAAA;AAExI,WAAO,QAAQ;AAGf,WAAO,QAAQ;AACf,QAAI,OAAO,OAAO,OAAO;AACvB,oBAAc,cAAO,OAAO,KAAK,aAAnB,mBAA6B,WAAU,AAAS,UAAQ,MAAM,GAAG,UAAU,AAAG,wBAAO,KAAK,OAAO,QAAQ,GAAG,MAAM,UAAU;AAAA,WACrI;AACL,aAAO,QAAQ;AACf,kBAAY;AACZ,oBAAc,cAAO,OAAO,KAAK,aAAnB,mBAA6B,WAAU,MAAM,AAAS,UAAQ,MAAM,GAAG,UAAU,AAAG,wBAAO,KAAK,OAAO,QAAQ,GAAG,MAAM,UAAU;AAChJ,aAAO,YAAY,YAAY,IAAI,UAAW,QAAO,YAAY,aAAa,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAAA;AAExI,WAAO,QAAQ;AAiBf,WAAO,QAAQ;AACf,QAAI,OAAO,OAAO,OAAO;AACvB,gBAAU,cAAO,OAAO,KAAK,gBAAnB,mBAAgC,WAAU,AAAQ,SAAQ,MAAM,GAAG,UAAU,AAAG,wBAAO,KAAK,OAAO,QAAQ,GAAG,MAAM,UAAU;AAAA,WACnI;AACL,aAAO,QAAQ;AACf,kBAAY;AACZ,gBAAU,cAAO,OAAO,KAAK,gBAAnB,mBAAgC,WAAU,MAAM,AAAQ,SAAQ,MAAM,GAAG,UAAU,AAAG,wBAAO,KAAK,OAAO,QAAQ,GAAG,MAAM,UAAU;AAC9I,aAAO,YAAY,cAAc,IAAI,UAAW,QAAO,YAAY,eAAe,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAAA;AAE5I,WAAO,QAAQ;AAGf,QAAI,OAAO,OAAO,OAAO;AACvB,OAAC,QAAQ,WAAW,YAAY,cAAc,SAAS,SAAS,cAAc,eAAe,MAAM,QAAQ,IAAI,CAAC,QAAQ,WAAW,YAAY,cAAc,SAAS,SAAS,cAAc;AAAA;AAG/L,WAAO,QAAQ;AAIf,QAAI,CAAC,cAAO,OAAO,KAAK,SAAnB,mBAAyB,YAAW,mBAAM,OAAN,mBAAU,gBAAV,mBAAuB,gBAAe,mBAAM,OAAN,mBAAU,gBAAV,mBAAuB,eAAc;AAClH,aAAO,MAAM,GAAG,YAAY;AAC5B,aAAO,MAAM,GAAG,YAAY;AAAA;AAE9B,UAAM,WAAY,MAAM,GAAG,eAAe,MAAM,GAAG,YAAY,eAAe,MAAM,GAAG,YAAY,YAAY,MAAM,MAAM,GAAG,YAAY,gBAAgB,MAAM,GAAG,YAAY,aAAa,MACtL,MAAM,GAAG,YAAY,YAAY,SAAS,KAAO,MAAM,GAAG,YAAY,aAAa,SAAS,KAC5F,MAAM,GAAG,YAAY,YAAY,OAAO,QAAU,MAAM,GAAG,YAAY,aAAa,OAAO,OAC7F,KAAK,IAAI,KAAK,IAAI,MAAM,GAAG,YAAY,YAAY,GAAG,KAAK,MAAM,GAAG,YAAY,YAAY,GAAG,KAAK,KAAK,IAAI,MAAM,GAAG,YAAY,aAAa,GAAG,KAAK,MAAM,GAAG,YAAY,aAAa,GAAG,OAAO,MAAM,MAAM,KAC/M;AAGJ,UAAM,UAAS,cAAO,OAAO,KAAK,aAAnB,mBAA6B,UAAS,AAAG,yBAAQ,MAAM,GAAG,UAAU;AAEnF,IAAG,yBAAQ,MAAM,GAAG;AAEpB,QAAI,MAAM,GAAG;AAAQ,aAAO,MAAM,GAAG;AAErC,YAAQ,KAAK;AAAA,SACR,MAAM;AAAA,MACT,IAAI;AAAA,MACJ,KAAK,mCAAS;AAAA,MACd,QAAQ,mCAAS;AAAA,MACjB,aAAa,mCAAS;AAAA,MACtB,WAAW,mCAAS;AAAA,MACpB,SAAS;AAAA,MACT,MAAM;AAAA,MACN,MAAM;AAAA,MACN,MAAM,aAAa,IAAI,KAAK,MAAM,MAAM,WAAW,QAAQ,MAAM;AAAA,MACjE;AAAA,MACA;AAAA;AAEF,WAAO,QAAQ;AAAA;AAEjB,SAAO,QAAQ;AACf,MAAI,OAAO,OAAO,OAAO;AACvB,QAAI,OAAO,YAAY;AAAM,aAAO,OAAO,YAAY;AACvD,QAAI,OAAO,YAAY;AAAK,aAAO,OAAO,YAAY;AACtD,QAAI,OAAO,YAAY;AAAQ,aAAO,OAAO,YAAY;AACzD,QAAI,OAAO,YAAY;AAAS,aAAO,OAAO,YAAY;AAAA;AAE5D,SAAO;AAAA;;;AClIF,IAAM,QAAO,CAAC,QAAyB;AAC5C,MAAI,CAAC;AAAK,WAAO;AACjB,QAAM,WAA0D;AAChE,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AAEnC,UAAM,YAAY,IAAI,GAAG,UAAU,KAAK,CAAC,MAAO,EAAE,SAAS;AAC3D,UAAM,aAAa,IAAI,GAAG,UAAU,KAAK,CAAC,MAAO,EAAE,SAAS;AAC5D,UAAM,OAAO,IAAI,GAAG,UAAU,KAAK,CAAC,MAAO,EAAE,SAAS;AACtD,QAAI,QAAQ,aAAa,cAAe,UAAU,SAAS,KAAK,KAAK,SAAS,MAAQ,WAAW,SAAS,KAAK,KAAK,SAAS;AAAK,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AAAA,aAC3J,QAAQ,aAAc,UAAU,SAAS,KAAK,KAAK,SAAS;AAAK,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AAAA,aACnG,QAAQ,cAAe,WAAW,SAAS,KAAK,KAAK,SAAS;AAAK,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AAG9G,UAAM,eAAe,IAAI,GAAG,UAAU,KAAK,CAAC,MAAO,EAAE,SAAS;AAC9D,UAAM,gBAAgB,IAAI,GAAG,UAAU,KAAK,CAAC,MAAO,EAAE,SAAS;AAC/D,QAAI,gBAAgB,iBAAiB,KAAK,IAAI,aAAa,YAAY,KAAK,cAAc,YAAY,MAAM,KAAK;AAC/G,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,WAAY,aAAa,SAAS,KAAK,cAAc,SAAS,KAAM,SAAS;AAAA;AAAA;AAGnH,SAAO;AAAA;AAGF,IAAM,QAAO,CAAC,QAAyB;AAC5C,MAAI,CAAC;AAAK,WAAO;AACjB,QAAM,WAA0D;AAChE,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AACnC,QAAI,IAAI,GAAG,QAAQ,IAAI,GAAG,KAAK,SAAS,KAAK;AAC3C,YAAM,QAAQ,IAAI,GAAG,KAAK,IAAI,KAAK,IAAI,GAAG,KAAK,KAAK;AACpD,YAAM,QAAQ,IAAI,GAAG,KAAK,IAAI,KAAK,IAAI,GAAG,KAAK,KAAK;AACpD,UAAI,KAAK,IAAI,QAAQ,UAAU;AAAM,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AAAA;AAClE,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,UAAU,QAAQ,IAAI,SAAS;AACtE,YAAM,WAAW,KAAK,IAAI,IAAI,GAAG,KAAK,KAAK,KAAK,IAAI,GAAG,KAAK,KAAK,MAAM,KAAK,IAAI,IAAI,GAAG,KAAK,KAAK,KAAK,IAAI,GAAG,KAAK,KAAK;AACvH,UAAI,WAAW;AAAK,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AACtD,YAAM,YAAY,KAAK,IAAI,IAAI,GAAG,KAAK,KAAK,KAAK,IAAI,GAAG,KAAK,KAAK,MAAM,KAAK,IAAI,IAAI,GAAG,KAAK,KAAK,KAAK,IAAI,GAAG,KAAK,KAAK;AACxH,UAAI,YAAY;AAAK,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AACvD,YAAM,YAAY,KAAK,IAAI,KAAK,MAAM,KAAK,IAAI,IAAI,GAAG,KAAK,IAAI,KAAK,IAAI,GAAG,KAAK,IAAI,MAAM,KAAK,IAAI,IAAI,GAAG,KAAK,IAAI,KAAK,IAAI,GAAG,KAAK,KAAK;AACzI,UAAI,YAAY;AAAI,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,SAAS,KAAK,MAAM;AAC1E,YAAM,YAAY,IAAI,GAAG,KAAK,KAAK;AACnC,UAAI,KAAK,IAAI,aAAa;AAAI,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,QAAQ,YAAY,IAAI,OAAO;AAAA;AAAA;AAGnG,SAAO;AAAA;AAGF,IAAM,QAAO,CAAC,QAAyB;AAC5C,MAAI,CAAC;AAAK,WAAO;AACjB,QAAM,WAA0D;AAChE,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AACnC,QAAI,CAAC,IAAI,GAAG,eAAe,CAAC,IAAI,GAAG,YAAY,eAAe,CAAC,IAAI,GAAG,YAAY,YAAY,MAAM,CAAC,IAAI,GAAG,YAAY,gBAAgB,CAAC,IAAI,GAAG,YAAY,aAAa;AAAI;AAC7K,UAAM,YAAY,IAAI,GAAG,YAAY,YAAY,GAAG,KAAK,IAAI,GAAG,YAAY,YAAY,GAAG;AAC3F,UAAM,YAAY,IAAI,GAAG,YAAY,YAAY,GAAG,KAAK,IAAI,GAAG,YAAY,YAAY,GAAG;AAC3F,UAAM,WAAW,KAAK,IAAI,YAAY;AAEtC,UAAM,aAAa,IAAI,GAAG,YAAY,aAAa,GAAG,KAAK,IAAI,GAAG,YAAY,aAAa,GAAG;AAC9F,UAAM,aAAa,IAAI,GAAG,YAAY,aAAa,GAAG,KAAK,IAAI,GAAG,YAAY,aAAa,GAAG;AAC9F,UAAM,YAAY,KAAK,IAAI,aAAa;AAExC,QAAI,SAAS;AACb,UAAM,aAAa,KAAK,IAAI,WAAW,aAAa,KAAK,IAAI,UAAU;AACvE,QAAI,aAAa,MAAM;AACrB,eAAS;AACT,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AAAA;AAGpC,UAAM,kBAAkB,KAAK,IAAI,IAAI,GAAG,KAAK,KAAK,KAAK,IAAI,GAAG,YAAY,YAAY,GAAG,MAAM,IAAI,GAAG,IAAI;AAC1G,UAAM,mBAAmB,KAAK,IAAI,IAAI,GAAG,KAAK,IAAI,KAAK,IAAI,GAAG,YAAY,aAAa,GAAG,MAAM,IAAI,GAAG,IAAI;AAC3G,QAAI,kBAAkB,QAAQ,mBAAmB;AAAM,eAAS;AAChE,QAAI,kBAAkB,kBAAkB;AACtC,UAAI,kBAAkB;AAAM,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AAAA,WACzD;AACL,UAAI,mBAAmB;AAAM,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AAAA;AAGjE,UAAM,mBAAmB,KAAK,IAAI,IAAI,GAAG,KAAK,KAAK,KAAK,IAAI,GAAG,YAAY,aAAa,GAAG,MAAM,IAAI,GAAG,IAAI;AAC5G,UAAM,kBAAkB,KAAK,IAAI,IAAI,GAAG,KAAK,KAAK,KAAK,IAAI,GAAG,YAAY,YAAY,GAAG,MAAM,IAAI,GAAG,IAAI;AAC1G,QAAI,kBAAkB,QAAQ,mBAAmB,QAAQ,kBAAkB,SAAS,mBAAmB;AAAO,eAAS;AACvH,QAAI,kBAAkB,QAAQ,mBAAmB;AAAM,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AACzF,QAAI,kBAAkB,SAAS,mBAAmB;AAAO,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AAG3F,QAAI;AAAQ,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS;AAAA;AAEhD,SAAO;AAAA;AAGF,IAAM,QAAO,CAAC,QAAyB;AAC5C,MAAI,CAAC;AAAK,WAAO;AACjB,QAAM,WAA0D;AAChE,WAAS,IAAI,GAAG,IAAI,IAAI,QAAQ,KAAK;AACnC,UAAM,UAAqD;AAC3D,QAAI,IAAI,GAAG,gBAAgB;AACzB,iBAAW,CAAC,QAAQ,QAAQ,OAAO,QAAQ,IAAI,GAAG,iBAAiB;AACjE,YAAI,WAAW,cAAc,MAAM,QAAQ,QAAQ,IAAI;AAAI,kBAAQ,KAAK,EAAE,MAAM,OAAO,eAAe,UAAU,IAAI;AAAA;AAAA;AAGxH,QAAI,WAAW,QAAQ,SAAS,GAAG;AACjC,YAAM,UAAU,QAAQ,OAAO,CAAC,MAAM,MAAO,KAAK,SAAS,KAAK,EAAE,SAAS,KAAK,OAAO;AACvF,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,GAAG,QAAQ;AAC7C,YAAM,UAAU,QAAQ,OAAO,CAAC,MAAM,MAAO,KAAK,SAAS,KAAK,EAAE,SAAS,KAAK,OAAO;AACvF,eAAS,KAAK,EAAE,MAAM,GAAG,SAAS,GAAG,QAAQ;AAAA;AAE/C,QAAI,IAAI,GAAG,cAAc;AACvB,YAAM,QAAQ,AAAW,MAAM,IAAI,GAAG;AACtC,iBAAW,QAAQ;AAAO,iBAAS,KAAK,EAAE,MAAM,GAAG,SAAS,KAAK;AAAA;AAAA;AAGrE,SAAO;AAAA;;;ACtIT,IAAM,iBAAyB,EAAE,MAAM,IAAI,MAAM,IAAI,MAAM,IAAI,SAAS,IAAI,QAAQ,IAAI,SAAS,IAAI,aAAa,IAAI,WAAW;AACjI,IAAI,kBAAkB;AAEf,eAAc,WAAmB,SAAwB;AAhBhE;AAiBE,QAAM,KAAK;AACX,MAAI,CAAC;AAAW,WAAO,EAAE,MAAM,IAAI,MAAM,IAAI,MAAM,IAAI,SAAS,IAAI,QAAQ,IAAI,SAAS,IAAI,aAAa,IAAI,WAAW;AAKzH,QAAM,UAAU,KAAK,QAAQ,UAAU;AAQvC,QAAM,iBAAiB,UAAU,MAAO,IAAI,KAAK,IAAI,UAAU,KAAK;AAEpE,iBAAe,SAAS,UAAU;AAGlC,MAAI,CAAC,eAAe,QAAS,UAAU,KAAK,WAAW,eAAe,KAAK,QAAS;AAClF,mBAAe,OAAO,KAAK,MAAM,KAAK,UAAU,UAAU;AAAA,SACrD;AACL,aAAS,IAAI,GAAG,IAAI,UAAU,KAAK,QAAQ,KAAK;AAC9C,YAAM,OAAM,UAAU,KAAK,GAAG,IAC3B,IAAI,CAAC,GAAG,MAAQ,mBAAiB,KAAK,eAAe,KAAK,GAAG,IAAI,KAAK,KAAK;AAC9E,YAAM,SAAS,UAAU,KAAK,GAAG,OAC9B,IAAI,CAAC,GAAG,MAAQ,mBAAiB,KAAK,eAAe,KAAK,GAAG,OAAO,KAAK,KAAK;AACjF,YAAM,YAAa,UAAU,KAAK,GAAG,UAClC,IAAI,CAAC,UAAU,MAAO;AAAA,QACrB,OAAO,SAAS;AAAA,QAChB,MAAM,SAAS;AAAA,QACf,UAAU;AAAA,UACR,eAAe,KAAK,GAAG,UAAU,KAAO,mBAAiB,KAAK,eAAe,KAAK,GAAG,UAAU,GAAG,SAAS,KAAK,SAAS,SAAS,MAAM,iBAAiB,SAAS,SAAS;AAAA,UAC3K,eAAe,KAAK,GAAG,UAAU,KAAO,mBAAiB,KAAK,eAAe,KAAK,GAAG,UAAU,GAAG,SAAS,KAAK,SAAS,SAAS,MAAM,iBAAiB,SAAS,SAAS;AAAA;AAAA,QAE7K,aAAa;AAAA,UACX,eAAe,KAAK,GAAG,UAAU,KAAO,mBAAiB,KAAK,eAAe,KAAK,GAAG,UAAU,GAAG,YAAY,KAAK,SAAS,YAAY,MAAM,iBAAiB,SAAS,SAAS;AAAA,UACjL,eAAe,KAAK,GAAG,UAAU,KAAO,mBAAiB,KAAK,eAAe,KAAK,GAAG,UAAU,GAAG,YAAY,KAAK,SAAS,YAAY,MAAM,iBAAiB,SAAS,SAAS;AAAA;AAAA;AAGvL,YAAM,eAAyC;AAE/C,UAAI,UAAS,EAAE,WAAW;AAC1B,UAAI,oBAAO,SAAP,mBAAa,cAAb,mBAAwB,SAAS;AAAkB,kBAAS;AAAA,eACvD,oBAAO,SAAP,mBAAa,cAAb,mBAAwB,SAAS;AAAc,kBAAS;AAAA,eACxD,oBAAO,SAAP,mBAAa,cAAb,mBAAwB,SAAS;AAAY,kBAAS;AAC/D,iBAAW,CAAC,MAAM,YAAY,OAAO,QAAQ,QAAO,YAAwC;AAC1F,cAAM,KAAqB;AAC3B,iBAAS,IAAI,GAAG,IAAI,QAAQ,SAAS,GAAG,KAAK;AAC3C,gBAAM,MAAM,UAAU,KAAK,CAAC,OAAO,GAAG,SAAS,QAAQ;AACvD,gBAAM,MAAM,UAAU,KAAK,CAAC,OAAO,GAAG,SAAS,QAAQ,IAAI;AAC3D,cAAI,OAAO,OAAO,IAAI,QAAS,SAAO,KAAK,iBAAiB,MAAM,IAAI,QAAS,SAAO,KAAK,iBAAiB;AAAI,eAAG,KAAK,CAAC,IAAI,UAAU,IAAI;AAAA;AAE7I,qBAAY,QAAQ;AAAA;AAEtB,qBAAe,KAAK,KAAK,KAAK,UAAU,KAAK,IAAI,WAAK,QAAQ,WAAW,aAAa;AAAA;AAAA;AAK1F,MAAI,CAAC,eAAe,QAAS,UAAU,KAAK,WAAW,eAAe,KAAK,QAAS;AAClF,mBAAe,OAAO,KAAK,MAAM,KAAK,UAAU,UAAU;AAAA,SACrD;AACL,aAAS,IAAI,GAAG,IAAI,UAAU,KAAK,QAAQ,KAAK;AAC9C,YAAM,OAAO,UAAU,KAAK,GAAG,IAC5B,IAAI,CAAC,GAAG,MAAQ,mBAAiB,KAAK,eAAe,KAAK,GAAG,IAAI,KAAK,KAAK;AAC9E,YAAM,SAAU,UAAU,KAAK,GAAG,OAC/B,IAAI,CAAC,GAAG,MAAQ,mBAAiB,KAAK,eAAe,KAAK,GAAG,OAAO,KAAK,KAAK;AACjF,UAAI,eAAe,KAAK,GAAG,UAAU,WAAW,UAAU,KAAK,GAAG,UAAU;AAAQ,uBAAe,KAAK,GAAG,YAAY,UAAU,KAAK,GAAG;AACzI,YAAM,YAAY,UAAU,KAAK,GAAG,aAAa,UAAU,KAAK,GAAG,UAAU,SAAS,IAAI,UAAU,KAAK,GAAG,UACzG,IAAI,CAAC,UAAU,MAAM,SACnB,IAAI,CAAC,OAAO,MAAS,mBAAiB,KAAM,gBAAe,KAAK,GAAG,UAAU,GAAG,MAAM,KAAM,UAAS,MAAM,mBAC5G;AACJ,UAAI,eAAc;AAClB,UAAI,OAAO,KAAK,eAAe,KAAK,GAAG,aAAa,WAAW,OAAO,KAAK,UAAU,KAAK,GAAG,aAAa,QAAQ;AAChH,uBAAe,KAAK,GAAG,cAAc,UAAU,KAAK,GAAG;AACvD,uBAAc,eAAe,KAAK,GAAG;AAAA,iBAC5B,UAAU,KAAK,GAAG,aAAa;AACxC,mBAAW,OAAO,OAAO,KAAK,UAAU,KAAK,GAAG,cAAc;AAC5D,uBAAY,OAAO,UAAU,KAAK,GAAG,YAAY,QAAQ,UAAU,KAAK,GAAG,YAAY,KAAK,KACxF,UAAU,KAAK,GAAG,YAAY,KAC7B,IAAI,CAAC,KAAK,MAAM,IACd,IAAI,CAAC,OAAO,MAAQ,mBAAiB,KAAK,eAAe,KAAK,GAAG,YAAY,KAAK,GAAG,KAAK,SAAS,mBACtG;AAAA;AAAA;AAGR,qBAAe,KAAK,KAAK,KAAK,UAAU,KAAK,IAAI,WAAK,QAAQ,WAAW,aAAa;AAAA;AAAA;AAK1F,MAAI,CAAC,eAAe,QAAS,UAAU,KAAK,WAAW,eAAe,KAAK,QAAS;AAClF,mBAAe,OAAO,KAAK,MAAM,KAAK,UAAU,UAAU;AAAA,SACrD;AACL,aAAS,IAAI,GAAG,IAAI,UAAU,KAAK,QAAQ,KAAK;AAC9C,YAAM,OAAO,UAAU,KAAK,GAAG,IAC5B,IAAI,CAAC,GAAG,MAAQ,mBAAiB,KAAK,eAAe,KAAK,GAAG,IAAI,KAAK,KAAK;AAC9E,YAAM,SAAU,UAAU,KAAK,GAAG,OAC/B,IAAI,CAAC,GAAG,MAAQ,mBAAiB,KAAK,eAAe,KAAK,GAAG,OAAO,KAAK,KAAK;AACjF,UAAI,UAAU,KAAK,GAAG,UAAU;AAC9B,cAAM,WAIF,EAAE,QAAQ,CAAC,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,GAAG,IAAI,OAAO,EAAE,MAAM,GAAG,KAAK,GAAG,OAAO,KAAK,MAAM,EAAE,SAAS,GAAG,UAAU;AAC/G,iBAAS,SAAS,gBAAU,KAAK,GAAG,aAAlB,mBAA4B;AAC9C,iBAAS,QAAQ;AAAA,UACf,MAAQ,mBAAiB,KAAM,6BAAe,KAAK,GAAG,aAAvB,mBAAiC,UAAjC,mBAAwC,SAAQ,KAAM,wBAAU,KAAK,GAAG,aAAlB,mBAA4B,UAA5B,mBAAmC,SAAQ,MAAM;AAAA,UACtI,KAAO,mBAAiB,KAAM,6BAAe,KAAK,GAAG,aAAvB,mBAAiC,UAAjC,mBAAwC,QAAO,KAAM,wBAAU,KAAK,GAAG,aAAlB,mBAA4B,UAA5B,mBAAmC,QAAO,MAAM;AAAA,UACnI,OAAS,mBAAiB,KAAM,6BAAe,KAAK,GAAG,aAAvB,mBAAiC,UAAjC,mBAAwC,UAAS,KAAM,wBAAU,KAAK,GAAG,aAAlB,mBAA4B,UAA5B,mBAAmC,UAAS,MAAM;AAAA;AAE3I,iBAAS,OAAO;AAAA,UAEd,SAAW,mBAAiB,KAAM,6BAAe,KAAK,GAAG,aAAvB,mBAAiC,SAAjC,mBAAuC,YAAW,KAAM,wBAAU,KAAK,GAAG,aAAlB,mBAA4B,SAA5B,mBAAkC,YAAW,MAAM;AAAA,UAC7I,UAAY,mBAAiB,KAAM,6BAAe,KAAK,GAAG,aAAvB,mBAAiC,SAAjC,mBAAuC,aAAY,KAAM,wBAAU,KAAK,GAAG,aAAlB,mBAA4B,SAA5B,mBAAkC,aAAY,MAAM;AAAA;AAElJ,uBAAe,KAAK,KAAK,KAAK,UAAU,KAAK,IAAI,UAAU,WAAK;AAAA;AAElE,qBAAe,KAAK,KAAK,KAAK,UAAU,KAAK,IAAI,WAAK;AAAA;AAAA;AAK1D,MAAI,CAAC,eAAe,UAAW,UAAU,OAAO,WAAW,eAAe,OAAO,QAAS;AACxF,mBAAe,SAAS,KAAK,MAAM,KAAK,UAAU,UAAU;AAAA,SACvD;AACL,aAAS,IAAI,GAAG,IAAI,UAAU,OAAO,QAAQ,KAAK;AAChD,YAAM,OAAO,UAAU,OAAO,GAAG,IAC9B,IAAI,CAAC,GAAG,MAAQ,mBAAiB,KAAK,eAAe,OAAO,GAAG,IAAI,KAAK,KAAK;AAChF,YAAM,SAAU,UAAU,OAAO,GAAG,OACjC,IAAI,CAAC,GAAG,MAAQ,mBAAiB,KAAK,eAAe,OAAO,GAAG,OAAO,KAAK,KAAK;AACnF,qBAAe,OAAO,KAAK,KAAK,UAAU,OAAO,IAAI,WAAK;AAAA;AAAA;AAK9D,MAAI,UAAU,SAAS;AACrB,UAAM,aAAa,UAAU;AAC7B,QAAI,CAAC,eAAe,WAAY,WAAW,WAAW,eAAe,QAAQ,QAAS;AACpF,qBAAe,UAAU,KAAK,MAAM,KAAK,UAAU;AAAA,WAC9C;AACL,eAAS,IAAI,GAAG,IAAI,WAAW,QAAQ,KAAK;AAC1C,uBAAe,QAAQ,GAAG,MAAO,WAAW,GAAG,IAC5C,IAAI,CAAC,MAAK,MAAQ,mBAAiB,KAAK,eAAe,QAAQ,GAAG,IAAI,KAAK,QAAO;AAAA;AAAA;AAAA;AAM3F,MAAI,UAAU;AAAS,mBAAe,UAAU,UAAU;AAG1D,QAAM,KAAK;AACX,oBAAkB,IAAI,UAAU,kBAAkB,KAAK,MAAM,KAAK,MAAM,KAAK,MAAM,KAAK;AACxF,MAAI,UAAU;AAAa,mBAAe,cAAc,KAAK,UAAU,aAAa,aAAa;AAEjG,SAAO;AAAA;;;ACjKF,kBAAkB,aAAyB,aAAyB,WAAwB,EAAE,OAAO,GAAG,YAAY,MAAM;AAE/H,MAAI,OAAM;AACV,WAAS,IAAI,GAAG,IAAI,YAAY,QAAQ,KAAK;AAC3C,UAAM,OAAQ,CAAC,SAAQ,SAAS,SAAQ,UAAU,IAAM,YAAY,KAAK,YAAY,KAAO,KAAK,IAAI,YAAY,KAAK,YAAY;AAClI,YAAQ,CAAC,SAAQ,SAAS,SAAQ,UAAU,IAAM,OAAO,OAAS,QAAQ,SAAQ;AAAA;AAEpF,SAAQ,UAAQ,cAAc,MAAM;AAAA;AAItC,IAAM,oBAAoB,CAAC,MAAM,OAAO,MAAK,SAAQ;AACnD,MAAI,SAAS;AAAG,WAAO;AACvB,QAAM,OAAO,UAAU,IAAI,KAAK,KAAK,QAAQ,QAAS,KAAI;AAC1D,QAAM,OAAQ,KAAK,OAAO,MAAO,QAAQ,QAAM;AAC/C,QAAM,SAAQ,KAAK,IAAI,KAAK,IAAI,MAAM,IAAI;AAC1C,SAAO;AAAA;AAcF,oBAAoB,aAAyB,aAAyB,WAAwB,EAAE,OAAO,GAAG,YAAY,IAAI,KAAK,KAAK,KAAK,OAAO;AACrJ,QAAM,OAAO,SAAS,aAAa,aAAa;AAChD,SAAO,kBAAkB,MAAM,SAAQ,SAAS,GAAG,SAAQ,OAAO,GAAG,SAAQ,OAAO;AAAA;AAc/E,gBAAe,YAAwB,aAAgC,WAAwB,EAAE,OAAO,GAAG,YAAY,IAAI,WAAW,GAAG,KAAK,KAAK,KAAK,OAAO;AACpK,MAAI,CAAC,MAAM,QAAQ,eAAe,CAAC,MAAM,QAAQ,gBAAgB,WAAW,SAAS,MAAM,YAAY,WAAW,KAAK,WAAW,WAAW,YAAY,GAAG,QAAQ;AAClK,WAAO,EAAE,OAAO,IAAI,UAAU,OAAO,mBAAmB,YAAY;AAAA;AAEtE,MAAI,iBAAiB,OAAO;AAC5B,MAAI,SAAQ;AACZ,WAAS,IAAI,GAAG,IAAI,YAAY,QAAQ,KAAK;AAC3C,UAAM,MAAM,SAAS,YAAY,YAAY,IAAI;AACjD,QAAI,MAAM,gBAAgB;AACxB,uBAAiB;AACjB,eAAQ;AAAA;AAEV,QAAI,iBAAkB,UAAQ,aAAa;AAAI;AAAA;AAEjD,QAAM,uBAAuB,kBAAkB,gBAAgB,SAAQ,SAAS,GAAG,SAAQ,OAAO,GAAG,SAAQ,OAAO;AACpH,SAAO,EAAE,eAAO,UAAU,gBAAgB,YAAY;AAAA;;;ACnEjD,eAAc,OAA0B,QAA2B,OAA0B,UAAgC,OAAuD;AAN3L;AAOE,MAAI,KAAK;AACT,QAAM,WAA+B;AACrC,aAAW,SAAQ,OAAO;AACxB,UAAM,UAAuB,EAAE,IAAI,MAAM,aAAM,MAAM,MAAM,OAAO,EAAE,MAAM,MAAM,OAAO,QAAQ,UAAU,IAAI,KAAK,CAAC,GAAG,GAAG,GAAG;AAC5H,eAAW,SAAQ,QAAQ;AACzB,UAAI,MAAK,IAAI,KAAK,MAAK,IAAI,MACtB,MAAK,IAAI,KAAK,MAAK,IAAI,KAAK,MAAK,IAAI,MACrC,MAAK,IAAI,KAAK,MAAK,IAAI,KAAK,MAAK,IAAI,MACrC,MAAK,IAAI,KAAK,MAAK,IAAI,KAAK,MAAK,IAAI,KAAK,MAAK,IAAI,IAAI;AAC1D,gBAAO,OAAO;AAAA;AAAA;AAGlB,QAAI,QAAO,MAAM;AACf,iBAAW,SAAQ,OAAO;AACxB,YAAI,MAAK,IAAI,KAAK,MAAK,IAAI,KAAK,QAAO,KAAK,IAAI,MAC3C,MAAK,IAAI,KAAK,MAAK,IAAI,KAAK,QAAO,KAAK,IAAI,KAAK,QAAO,KAAK,IAAI,MACjE,MAAK,IAAI,KAAK,MAAK,IAAI,KAAK,QAAO,KAAK,IAAI,MAC5C,MAAK,IAAI,KAAK,MAAK,IAAI,KAAK,QAAO,KAAK,IAAI,KAAK,QAAO,KAAK,IAAI,IAAI;AACxE,cAAI,QAAO;AAAO,oBAAO,MAAM,OAAO;AAAA;AAExC,YAAI,MAAK,IAAI,KAAK,QAAO,KAAK,IAAI,KAAK,QAAO,KAAK,IAAI,MAClD,MAAK,IAAI,KAAK,QAAO,KAAK,IAAI,MAC9B,MAAK,IAAI,KAAK,MAAK,IAAI,KAAK,QAAO,KAAK,IAAI,MAC5C,MAAK,IAAI,KAAK,MAAK,IAAI,KAAK,QAAO,KAAK,IAAI,KAAK,QAAO,KAAK,IAAI,IAAI;AACxE,cAAI,QAAO;AAAO,oBAAO,MAAM,QAAQ;AAAA;AAAA;AAAA;AAI7C,eAAW,YAAW,UAAU;AAC9B,UAAI,SAAQ,YAAY,UAAa,SAAQ,YAAY,MAAK;AAAI,sBAAO,aAAP,mBAAiB,KAAK;AAAA,eAC/E,SAAQ,YAAY,UAAa,SAAQ,YAAY,MAAK;AAAI,sBAAO,aAAP,mBAAiB,KAAK;AAAA,eACpF,SAAQ,YAAY,UAAa,SAAQ,YAAY,eAAO,SAAP,mBAAa;AAAI,sBAAO,aAAP,mBAAiB,KAAK;AAAA,eAC5F,SAAQ,YAAY,UAAa,SAAQ,YAAY,qBAAO,UAAP,mBAAc,SAAd,mBAAoB;AAAI,sBAAO,aAAP,mBAAiB,KAAK;AAAA,eACnG,SAAQ,YAAY,UAAa,SAAQ,YAAY,qBAAO,UAAP,mBAAc,UAAd,mBAAqB;AAAI,sBAAO,aAAP,mBAAiB,KAAK;AAAA;AAI/G,UAAM,IAAc;AACpB,UAAM,IAAc;AACpB,UAAM,YAAY,CAAC,SAAyB;AAC1C,UAAI,QAAO,KAAI,WAAW,GAAG;AAC3B,UAAE,KAAK,KAAI,IAAI,KAAI,KAAK,KAAI;AAC5B,UAAE,KAAK,KAAI,IAAI,KAAI,KAAK,KAAI;AAAA;AAAA;AAGhC,cAAU,cAAO,SAAP,mBAAa;AACvB,cAAU,cAAO,SAAP,mBAAa;AACvB,cAAU,oBAAO,UAAP,mBAAc,SAAd,mBAAoB;AAC9B,cAAU,oBAAO,UAAP,mBAAc,UAAd,mBAAqB;AAC/B,UAAM,OAAO,KAAK,IAAI,GAAG;AACzB,UAAM,OAAO,KAAK,IAAI,GAAG;AACzB,YAAO,MAAM,CAAC,MAAM,MAAM,KAAK,IAAI,GAAG,KAAK,MAAM,KAAK,IAAI,GAAG,KAAK;AAGlE,QAAI,SAAS,MAAM,MAAM,MAAM;AAAI,cAAO,SAAS,CAAC,QAAO,IAAI,KAAK,MAAM,IAAI,QAAO,IAAI,KAAK,MAAM,IAAI,QAAO,IAAI,KAAK,MAAM,IAAI,QAAO,IAAI,KAAK,MAAM;AAExJ,aAAQ,KAAK;AAAA;AAEf,SAAO;AAAA;;;AC5DF,IAAM,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,IAAM,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;;;ACjJpB,4BAA4B,UAAiB;AAC3C,QAAM,YAAY,CAAC,QAAgB,OAAO,+BAA+B,MAAM,QAAQ,eAAe,UAAU,KAAK,CAAC,SAAQ,KAAI;AAClI,MAAI;AACJ,MAAI;AACJ,UAAQ,SAAS,OAAO;AAAA,SACjB;AAAQ,aAAO,MAAM,UAAiB;AAAO;AAAA,SAC7C;AAAA,SACA;AAAQ,aAAO,MAAM,UAAiB;AAAO;AAAA;AACzC,aAAO;AAAA;AAElB,MAAI,MAAM;AACR,UAAM,SAAS,MAAM,kBAAkB;AACvC,UAAM,MAAM,SAAS,OAAO,QAAQ,SAAS;AAC7C,WAAO;AAAA;AAET,SAAO;AAAA;AAGT,4BAA4B,UAAiB;AAC3C,SAAO,IAAI,QAAQ,CAAC,YAAY;AAC9B,QAAI;AAEJ,YAAQ,SAAS,OAAO;AAAA,WACjB;AAEH,cAAM,4BAAmC;AACzC;AAAA,WACG;AAAA,WACA;AAEH,cAAM,4BAAmC;AACzC;AAAA;AAEA,cAAM;AAAA;AAGV,QAAI;AACJ,QAAI,OAAO,UAAU;AAAa,YAAM,IAAI;AAAA,aAEnC,IAAI;AAAO,YAAM,IAAI,IAAI;AAClC,QAAI,SAAS,YAAY;AACvB,YAAM,UAAS,AAAM,OAAO,IAAI,cAAc,IAAI;AAClD,UAAI,CAAC,SAAQ;AACX,YAAI;AACJ,gBAAQ;AAAA,aACH;AACL,cAAM,MAAM,QAAO,WAAW;AAC9B,YAAI;AAAK,cAAI,UAAU,KAAK,GAAG;AAE/B,cAAM,UAAS,MAAM,SAAS,MAAM;AACpC,cAAM,MAAM,MAAM,SAAS,OAAO,QAAO,QAAkB,SAAS;AACpE,gBAAQ;AAAA;AAAA;AAGZ,QAAI;AAAK,UAAI,MAAM;AAAA;AACd,cAAQ;AAAA;AAAA;AAIjB,0BAA0B,UAAiB;AACzC,QAAM,OAAO,CAAC,QAAgB,OAAO,KAAK,KAAK;AAC/C,MAAI;AACJ,MAAI,SAAS,OAAO,WAAW;AAAQ,UAAM,KAAY;AACzD,MAAI,SAAS,OAAO,WAAW,UAAU,SAAS,OAAO,WAAW;AAAQ,UAAM,KAAY;AAC9F,MAAI,CAAC;AAAK,WAAO;AACjB,MAAI;AACJ,MAAI,OAAU,6BAAY,aAAa;AACrC,UAAM,OAAO,AAAG,yBAAQ,WAAW;AACnC,UAAM,WAAW,KAAK,WAAW;AACjC,aAAS,GAAG,QAAQ;AAEpB,UAAM,MAAM,SAAS,OAAO,UAAU,SAAS;AAC/C,aAAS,GAAG,QAAQ;AAAA,SACf;AACL,QAAI,SAAS,OAAO;AAAO,UAAI;AAAA;AASjC,SAAO;AAAA;AAQT,sBAA6B,UAAiB,YAA2D;AACvG,QAAM,KAAK;AACX,WAAS,QAAQ;AACjB,MAAI;AAAY,aAAS,SAAS,UAAU,SAAS,QAAQ;AAC7D,MAAI,CAAC,SAAS,OAAO,UAAU,SAAS,OAAO,WAAW;AAAQ,WAAO,EAAE,OAAO;AAClF,MAAI;AACJ,SAAO,IAAI,QAAQ,OAAO,YAAY;AACpC,QAAI,OAAO,sBAAsB;AAAY,YAAM,MAAM,aAAa;AAAA,aAC7D,OAAO,UAAU,eAAe,IAAI,WAAW;AAAW,YAAM,MAAM,aAAa;AAAA;AACvF,YAAM,MAAM,WAAW;AAC5B,UAAM,KAAK;AACX,QAAI,SAAS,OAAO;AAAO,UAAI,UAAU,SAAS,OAAO,QAAQ,KAAK,MAAM,KAAK,KAAK;AACtF,aAAS,KAAK;AACd,YAAQ;AAAA;AAAA;;;ACtHZ;AAiEO,kBAAY;AAAA,EA0EjB,YAAY,YAA8B;AAxE1C;AAKA;AAKA;AAMA;AAGA;AAQA;AAGA;AAKA;AAMA;AAYA;AAEA;AAEA;AAEA;AACA;AACA;AACA;AAEA;AAwDA,mCAAU,IAAI,QAAkB;AAC9B,UAAI,CAAC,mBAAK;AAAqB;AAC/B,YAAM,iBAAiB,KAAK,GAAG,SAAS,MAAM;AAC9C,YAAM,kBAAkB,mBAAK;AAC7B,yBAAK,aAAc;AACnB,YAAM,SAAS,iBAAiB;AAChC,UAAI,WAAW;AAAG,YAAI,GAAG,KAAK;AAAA;AAKhC,gCAAU,CAAC,UAAgC;AACzC,UAAI,CAAC,mBAAK;AAAc,eAAO;AAC/B,UAAI,CAAC;AAAO,eAAO;AACnB,UAAI,KAAK,IAAI,QAAQ,CAAE,kBAAoB;AAAS,eAAO;AAC3D,UAAI;AACF,aAAK,GAAG;AAAA,eACF,GAAN;AACA,eAAO;AAAA;AAET,aAAO;AAAA;AAgBF,sCAAmB;AACnB,oCAAiB;AACjB,iCAAc;AA4GrB,gCAAO,CAAC,UAAkB;AA7U5B;AA8UI,UAAI,KAAK,UAAU,KAAK,OAAO;AAAe,mBAAK,WAAL,mBAAa,cAAc,IAAI,MAAM;AAAA;AAlMnF,SAAK,MAAM;AACX,WAAS,WAAW,AAAG,8BAAa,SAAS,OACzC,4CACA,8DAAiE;AACrE,WAAS,gBAAgB,IAAI,UAAU,eAAe;AACtD,WAAS,UAAU,IAAI,UAAU,YAAY;AAC7C,SAAK,UAAc;AACnB,WAAO,eAAe,MAAM,WAAW,EAAE,OAAW;AACpD,SAAK,SAAS,KAAK,MAAM,KAAK,UAAU;AACxC,WAAO,KAAK,KAAK;AACjB,QAAI;AAAY,WAAK,SAAS,UAAU,KAAK,QAAQ;AACrD,SAAK,KAAK;AACV,SAAK,QAAQ;AACb,uBAAK,aAAc;AACnB,uBAAK,qBAAsB;AAC3B,uBAAK,cAAe;AACpB,SAAK,cAAc;AACnB,SAAK,SAAU,OAAO,gBAAgB,cAAe,IAAI,gBAAgB;AAEzE,SAAK,SAAS,IAAW;AAEzB,SAAK,OAAO;AAAA,MACV,SAAc;AAAA,MACd,QAAQ,CAAC,OAAqG,WAA8B,AAAK,QAAO,OAAO;AAAA,MAC/J,MAAM,CAAC,QAA6C,QAAsB,aAAmC,AAAK,KAAK,QAAQ,QAAQ;AAAA,MACvI,MAAM,CAAC,QAA6C,QAAsB,aAAmC,AAAK,KAAK,QAAQ,QAAQ;AAAA,MACvI,MAAM,CAAC,QAA6C,QAAsB,aAAmC,AAAK,KAAK,QAAQ,QAAQ;AAAA,MACvI,SAAS,CAAC,QAA6C,QAAyB,aAAmC,AAAK,QAAQ,QAAQ,QAAQ;AAAA,MAChJ,QAAQ,CAAC,QAA6C,QAAwB,aAAmC,AAAK,OAAO,QAAQ,QAAQ;AAAA,MAC7I,QAAQ,CAAC,QAA6C,QAAwB,aAAmC,AAAK,OAAO,QAAQ,QAAQ;AAAA,MAC7I,KAAK,CAAC,QAA6C,QAAgB,aAAmC,AAAK,IAAI,QAAQ,QAAQ;AAAA;AAEjI,SAAK,SAAS,EAAE,MAAM,IAAI,MAAM,IAAI,MAAM,IAAI,SAAS,IAAI,QAAQ,IAAI,aAAa,IAAI,WAAW,GAAG,SAAS;AAG/G,SAAK,UAAU,EAAE,QAAQ,MAAM,QAAQ;AAEvC,SAAK,oBAA6B;AAClC,SAAK,YAAqB;AAE1B,SAAK,KAAa;AAElB,SAAK,KAAK;AAAA;AAAA,EA6BZ,QAAc;AACZ,UAAM,iBAAiB,KAAK,OAAO;AACnC,SAAK,SAAS,KAAK,MAAM,KAAK,UAAU;AACxC,SAAK,OAAO,UAAU;AAAA;AAAA,EAIxB,SAAS,YAA8B;AACrC,WAAO,SAAS,QAAU,cAAc,KAAK;AAAA;AAAA,EAS/C,MAAc;AACZ,WAAO;AAAA;AAAA,EAST,MAAM,OAAc,YAAqB,MAAM;AAC7C,WAAO,AAAM,SAAQ,OAAO,KAAK,QAAQ;AAAA;AAAA,QAgBrC,aAAa,OAAc,YAAiK;AAChM,WAAO,AAAa,SAAQ,OAAO,YAAY,KAAK;AAAA;AAAA,EAStD,QAAQ,OAA8B;AACpC,WAAO,AAAQ,SAAQ;AAAA;AAAA,EAWzB,QAAQ,kBAA0B,mBAA4C;AAC5E,WAAO,AAAM,QAAQ,KAAK,QAAQ,kBAAkB;AAAA;AAAA,QAUhD,OAAsB;AAC1B,UAAM,AAAQ,MAAM,MAAM;AAC1B,UAAM,KAAK,GAAG;AAAA;AAAA,QASV,KAAK,YAA6C;AACtD,SAAK,QAAQ;AACb,UAAM,YAAY;AAClB,UAAM,SAAQ,OAAO,OAAO,KAAK,QAAQ,OAAO,CAAC,YAAU,SAAO;AAClE,QAAI;AAAY,WAAK,SAAS,UAAU,KAAK,QAAQ;AAErD,QAAI,KAAK,IAAI,SAAS;AACpB,UAAI,KAAK,OAAO;AAAO,YAAI,YAAY,KAAK;AAC5C,UAAI,KAAK,OAAO;AAAO,YAAI,iBAAiB,KAAK,GAAG;AACpD,UAAI,CAAC,MAAM,AAAQ,MAAM;AAAO,YAAI;AACpC,YAAM,AAAG;AACT,UAAI,KAAK,IAAI,SAAS;AACpB,YAAI,KAAK,OAAO;AAAO,cAAI,kBAAkB,KAAK;AAClD,YAAI,KAAK,OAAO;AAAO,cAAI,gBAAgB,KAAK;AAChD,YAAI,KAAK,OAAO;AAAO,cAAI,aAAa,KAAK,GAAG,IAAI;AAAA;AAAA;AAIxD,UAAM,AAAO,OAAK;AAClB,QAAI,KAAK,IAAI,WAAW,KAAK,OAAO;AAAO,UAAI,oBAAoB,KAAK,GAAG,SAAS,MAAM,UAAU,SAAS,KAAK,GAAG,SAAS,MAAM,YAAY;AAChJ,SAAK,IAAI,UAAU;AAEnB,UAAM,SAAS,OAAO,OAAO,KAAK,QAAQ,OAAO,CAAC,YAAU,SAAO;AACnE,QAAI,WAAW,QAAO;AACpB,YAAM,AAAO,UAAS;AACtB,WAAK,KAAK;AAAA;AAGZ,UAAM,UAAU,KAAK,MAAM,QAAQ;AACnC,QAAI,UAAW,MAAK,YAAY,cAAwB;AAAI,WAAK,YAAY,aAAa,KAAK,IAAI,UAAW,MAAK,YAAY,cAAc,KAAK,UAAU;AAAA;AAAA,EAe9J,KAAK,SAAiB,KAAK,QAAgB;AACzC,WAAO,AAAY,MAAK,QAAQ,KAAK;AAAA;AAAA,QASjC,OAAO,YAA8B;AACzC,UAAM,KAAK;AACX,UAAM,MAAM,MAAM,AAAQ,OAAO,MAAM;AACvC,UAAM,KAAK;AACX,SAAK,YAAY,SAAS,KAAK,MAAM,KAAK;AAC1C,WAAO;AAAA;AAAA,QAOH,QAAQ,OAAc,YAA+D;AACzF,UAAM,UAAU,MAAM,KAAK,GAAG,QAAQ,MAAM,KAAK,OAAO,OAAO;AAC/D,UAAM,UAAU;AAChB,eAAW,UAAU,QAAQ,SAAS;AACpC,UAAI,QAAQ,OAAO;AAAO,gBAAQ,OAAO,SAAS,OAAO;AAAA;AACpD,gBAAQ,OAAO,QAAQ,OAAO;AAAA;AAErC,UAAM,YAAiC;AACvC,WAAO,QAAQ,SAAS,QAAQ,CAAC,QAAQ,UAAU,KAAK,EAAE,MAAM,IAAI,IAAI,IAAI,IAAI;AAChF,cAAU,KAAK,CAAC,GAAG,MAAM,EAAE,KAAK,EAAE;AAClC,cAAU,SAAS;AACnB,UAAM,MAA8B;AACpC,eAAW,UAAU;AAAW,UAAI,OAAO,QAAQ,OAAO;AAC1D,WAAO;AAAA;AAAA,QAaH,OAAO,OAAc,YAAuD;AAEhF,SAAK,QAAQ;AACb,WAAO,IAAI,QAAQ,OAAO,YAAY;AA1Y1C;AA2YM,WAAK,QAAQ;AACb,UAAI;AAGJ,WAAK,SAAS,UAAU,KAAK,QAAQ;AAGrC,WAAK,QAAQ;AACb,YAAM,QAAQ,mBAAK,SAAL,WAAa;AAC3B,UAAI,OAAO;AACT,YAAI,OAAO;AACX,gBAAQ,EAAE;AAAA;AAGZ,YAAM,YAAY;AAGlB,YAAM,AAAQ,MAAM;AAGpB,YAAM,KAAK;AAEX,kBAAY;AACZ,WAAK,QAAQ;AACb,YAAM,MAAM,MAAM,AAAM,SAAQ,OAAO,KAAK;AAC5C,WAAK,UAAU;AACf,WAAK,YAAY,eAAe,KAAK,IAAI,UAAW,MAAK,YAAY,gBAAgB,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAC7I,WAAK,QAAQ;AAEb,UAAI,CAAC,IAAI,QAAQ;AACf,YAAI,KAAK,OAAO;AAAO,cAAI;AAC3B,gBAAQ,EAAE,OAAO;AACjB;AAAA;AAEF,WAAK,KAAK;AAEV,kBAAY;AACZ,WAAK,OAAO,cAAc,MAAM,AAAM,KAAK,KAAK,QAAQ,IAAI;AAC5D,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,UAAW,MAAK,YAAY,cAAc,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AACzI,WAAK,QAAQ;AAIb,UAAI,UAA0D;AAC9D,UAAI,UAA0D;AAC9D,UAAI,UAA0D;AAC9D,UAAI,YAAgE;AAGpE,WAAK,QAAQ;AACb,UAAI,KAAK,OAAO,OAAO;AACrB,kBAAU,KAAK,OAAO,KAAK,UAAU,AAAK,WAAW,MAAM,IAAI,UAAU;AACzE,YAAI,KAAK,YAAY;AAAM,iBAAO,KAAK,YAAY;AAAA,aAC9C;AACL,oBAAY;AACZ,kBAAU,KAAK,OAAO,KAAK,UAAU,MAAM,AAAK,WAAW,MAAM,IAAI,UAAU;AAC/E,aAAK,YAAY,OAAO,KAAK,IAAI,UAAW,MAAK,YAAY,QAAQ,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAAA;AAG/H,UAAI,KAAK,OAAO,SAAU,MAAK,OAAO,KAAK,gBAAgB,MAAM,KAAK,OAAO,KAAK,gBAAgB;AAAK,kBAAU,MAAM;AAGvH,WAAK,QAAQ;AACb,WAAK,QAAQ;AACb,YAAM,aAAa,KAAK,OAAO,KAAK,gBAAgB,KAAK,UAAU,KAAK,QAAQ,EAAE,MAAM,EAAE,aAAa,KAAK,OAAO,KAAK,UAAU,IAAK,QAAyB,SAAS,SAAS,KAAK;AACvL,UAAI,KAAK,OAAO,OAAO;AACrB,YAAI,WAAK,OAAO,KAAK,cAAjB,mBAA4B,SAAS;AAAY,oBAAU,KAAK,OAAO,KAAK,UAAU,AAAQ,UAAQ,IAAI,QAAQ,cAAc;AAAA,iBAC3H,WAAK,OAAO,KAAK,cAAjB,mBAA4B,SAAS;AAAc,oBAAU,KAAK,OAAO,KAAK,UAAU,AAAU,SAAQ,IAAI,QAAQ,cAAc;AAAA,iBACpI,WAAK,OAAO,KAAK,cAAjB,mBAA4B,SAAS;AAAkB,oBAAU,KAAK,OAAO,KAAK,UAAU,AAAc,SAAQ,IAAI,QAAQ,cAAc;AAAA,iBAC5I,WAAK,OAAO,KAAK,cAAjB,mBAA4B,SAAS;AAAY,oBAAU,KAAK,OAAO,KAAK,UAAU,AAAQ,UAAQ,IAAI,QAAQ,cAAc;AACzI,YAAI,KAAK,YAAY;AAAM,iBAAO,KAAK,YAAY;AAAA,aAC9C;AACL,oBAAY;AACZ,YAAI,WAAK,OAAO,KAAK,cAAjB,mBAA4B,SAAS;AAAY,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAM,AAAQ,UAAQ,IAAI,QAAQ,cAAc;AAAA,iBACjI,WAAK,OAAO,KAAK,cAAjB,mBAA4B,SAAS;AAAc,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAM,AAAU,SAAQ,IAAI,QAAQ,cAAc;AAAA,iBAC1I,WAAK,OAAO,KAAK,cAAjB,mBAA4B,SAAS;AAAkB,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAM,AAAc,SAAQ,IAAI,QAAQ,cAAc;AAAA,iBAClJ,WAAK,OAAO,KAAK,cAAjB,mBAA4B,SAAS;AAAY,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAM,AAAQ,UAAQ,IAAI,QAAQ,cAAc;AAC/I,aAAK,YAAY,OAAO,KAAK,IAAI,UAAW,MAAK,YAAY,QAAQ,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAAA;AAE/H,WAAK,QAAQ;AAGb,WAAK,QAAQ;AACb,WAAK,QAAQ;AACb,YAAM,aAAa,KAAK,OAAO,KAAK,gBAAgB,KAAK,UAAU,KAAK,QAAQ,EAAE,MAAM,EAAE,aAAa,KAAK,OAAO,KAAK,UAAU,IAAK,QAAyB,SAAS,SAAS,KAAK;AACvL,UAAI,KAAK,OAAO,OAAO;AACrB,YAAI,iBAAK,OAAO,KAAK,aAAjB,mBAA2B,cAA3B,mBAAsC,SAAS;AAAe,oBAAU,KAAK,OAAO,KAAK,UAAU,AAAS,SAAQ,IAAI,QAAQ,cAAc;AAAA,iBACzI,iBAAK,OAAO,KAAK,aAAjB,mBAA2B,cAA3B,mBAAsC,SAAS;AAAc,oBAAU,KAAK,OAAO,KAAK,UAAU,AAAU,SAAQ,IAAI,QAAQ,cAAc;AACvJ,YAAI,KAAK,YAAY;AAAM,iBAAO,KAAK,YAAY;AAAA,aAC9C;AACL,oBAAY;AACZ,YAAI,iBAAK,OAAO,KAAK,aAAjB,mBAA2B,cAA3B,mBAAsC,SAAS;AAAe,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAM,AAAS,SAAQ,IAAI,QAAQ,cAAc;AAAA,iBAC/I,iBAAK,OAAO,KAAK,aAAjB,mBAA2B,cAA3B,mBAAsC,SAAS;AAAc,oBAAU,KAAK,OAAO,KAAK,UAAU,MAAM,AAAU,SAAQ,IAAI,QAAQ,cAAc;AAC7J,aAAK,YAAY,OAAO,KAAK,IAAI,UAAW,MAAK,YAAY,QAAQ,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAAA;AAE/H,WAAK,QAAQ;AAGb,WAAK,QAAQ;AACb,WAAK,QAAQ;AACb,UAAI,KAAK,OAAO,OAAO;AACrB,YAAI,WAAK,OAAO,OAAO,cAAnB,mBAA8B,SAAS;AAAY,sBAAY,KAAK,OAAO,OAAO,UAAU,AAAQ,UAAQ,IAAI,QAAQ,KAAK,UAAU;AAAA,iBAClI,WAAK,OAAO,OAAO,cAAnB,mBAA8B,SAAS;AAAc,sBAAY,KAAK,OAAO,OAAO,UAAU,AAAU,SAAQ,IAAI,QAAQ,KAAK,UAAU;AACpJ,YAAI,KAAK,YAAY;AAAQ,iBAAO,KAAK,YAAY;AAAA,aAChD;AACL,oBAAY;AACZ,YAAI,WAAK,OAAO,OAAO,cAAnB,mBAA8B,SAAS;AAAY,sBAAY,KAAK,OAAO,OAAO,UAAU,MAAM,AAAQ,UAAQ,IAAI,QAAQ,KAAK,UAAU;AAAA,iBACxI,WAAK,OAAO,OAAO,cAAnB,mBAA8B,SAAS;AAAc,sBAAY,KAAK,OAAO,OAAO,UAAU,MAAM,AAAU,SAAQ,IAAI,QAAQ,KAAK,UAAU;AAC1J,aAAK,YAAY,SAAS,KAAK,IAAI,UAAW,MAAK,YAAY,UAAU,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAAA;AAEnI,WAAK,QAAQ;AAGb,WAAK,QAAQ;AACb,UAAI,KAAK,OAAO;AAAO,SAAC,SAAS,SAAS,SAAS,aAAa,MAAM,QAAQ,IAAI,CAAC,SAAS,SAAS,SAAS;AAG9G,WAAK,QAAQ;AACb,UAAI,aAA8B;AAClC,UAAI,KAAK,OAAO,QAAQ,SAAS;AAC/B,oBAAY;AACZ,qBAAa,CAAC,GAAG,AAAQ,MAAK,UAAU,GAAG,AAAQ,MAAK,UAAU,GAAG,AAAQ,MAAK,UAAU,GAAG,AAAQ,MAAK;AAC5G,YAAI,CAAC,KAAK,OAAO;AAAO,eAAK,YAAY,UAAU,KAAK,IAAI,UAAW,MAAK,YAAY,WAAW,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAAA,iBAClJ,KAAK,YAAY;AAAS,iBAAO,KAAK,YAAY;AAAA;AAG7D,WAAK,YAAY,QAAQ,KAAK,IAAI,UAAW,MAAK,YAAY,SAAS,KAAK,KAAK,MAAM,QAAQ,aAAa,KAAK,MAAM,QAAQ;AAC/H,YAAM,QAAQ,kBAAK,YAAL,mBAAc,WAAd,mBAAsB,UAAS;AAC7C,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;AAAA,YACZ,UAAU;AAAE,iBAAO,AAAQ,MAAK,SAAyB,SAAyB,SAAyB,YAAY;AAAA;AAAA;AAI7H,MAAG,yBAAQ,IAAI;AAGf,WAAK,KAAK;AACV,WAAK,QAAQ;AACb,cAAQ,KAAK;AAAA;AAAA;AAAA;AAlajB;AACA;AACA;AAqEA;",
   "names": []
 }
diff --git a/dist/human.esm.js b/dist/human.esm.js
index 463f3a91..c9c17e48 100644
--- a/dist/human.esm.js
+++ b/dist/human.esm.js
@@ -141,6 +141,8 @@ var config = {
       skipTime: 2500,
       minConfidence: 0.2,
       iouThreshold: 0.1,
+      cropFactor: 1.6,
+      mask: false,
       return: false
     },
     mesh: {
@@ -2084,7 +2086,7 @@ var require_crypto = __commonJS({
 var require_seedrandom = __commonJS({
   "node_modules/.pnpm/seedrandom@3.0.5/node_modules/seedrandom/seedrandom.js"(exports, module) {
     (function(global2, pool3, math) {
-      var width = 256, chunks = 6, digits = 52, rngname = "random", startdenom = math.pow(width, chunks), significance = math.pow(2, digits), overflow = significance * 2, mask = width - 1, nodecrypto;
+      var width = 256, chunks = 6, digits = 52, rngname = "random", startdenom = math.pow(width, chunks), significance = math.pow(2, digits), overflow = significance * 2, mask3 = width - 1, nodecrypto;
       function seedrandom5(seed, options3, callback) {
         var key = [];
         options3 = options3 == true ? { entropy: true } : options3 || {};
@@ -2137,14 +2139,14 @@ var require_seedrandom = __commonJS({
           s[i] = i++;
         }
         for (i = 0; i < width; i++) {
-          s[i] = s[j = mask & j + key[i % keylen] + (t = s[i])];
+          s[i] = s[j = mask3 & j + key[i % keylen] + (t = s[i])];
           s[j] = t;
         }
         (me.g = function(count22) {
           var t2, r = 0, i2 = me.i, j2 = me.j, s2 = me.S;
           while (count22--) {
-            t2 = s2[i2 = mask & i2 + 1];
-            r = r * width + s2[mask & (s2[i2] = s2[j2 = mask & j2 + t2]) + (s2[j2] = t2)];
+            t2 = s2[i2 = mask3 & i2 + 1];
+            r = r * width + s2[mask3 & (s2[i2] = s2[j2 = mask3 & j2 + t2]) + (s2[j2] = t2)];
           }
           me.i = i2;
           me.j = j2;
@@ -2173,7 +2175,7 @@ var require_seedrandom = __commonJS({
       function mixkey(seed, key) {
         var stringseed = seed + "", smear, j = 0;
         while (j < stringseed.length) {
-          key[mask & j] = mask & (smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++);
+          key[mask3 & j] = mask3 & (smear ^= key[mask3 & j] * 19) + stringseed.charCodeAt(j++);
         }
         return tostring(key);
       }
@@ -10104,14 +10106,14 @@ function assertParamsValid(input2, begin, size2) {
     assert(begin[i] + size2[i] <= input2.shape[i], () => `Error in slice${inputRank}D: begin[${i}] + size[${i}] (${begin[i] + size2[i]}) would overflow input.shape[${i}] (${input2.shape[i]})`);
   }
 }
-function maskToAxes(mask) {
+function maskToAxes(mask3) {
   const axes = [];
   let axis = 0;
-  while (mask > 0) {
-    if (mask & 1) {
+  while (mask3 > 0) {
+    if (mask3 & 1) {
       axes.push(axis);
     }
-    mask /= 2;
+    mask3 /= 2;
     axis++;
   }
   return axes;
@@ -11951,10 +11953,10 @@ function isNaN_(x) {
   return ENGINE.runKernel(IsNan, inputs);
 }
 var isNaN2 = op({ isNaN_ });
-function leakyRelu_(x, alpha = 0.2) {
+function leakyRelu_(x, alpha2 = 0.2) {
   const $x = convertToTensor(x, "x", "leakyRelu");
   const inputs = { x: $x };
-  const attrs = { alpha };
+  const attrs = { alpha: alpha2 };
   return ENGINE.runKernel(LeakyRelu, inputs, attrs);
 }
 var leakyRelu = op({ leakyRelu_ });
@@ -11983,7 +11985,7 @@ function linspace(start, stop, num) {
   const attrs = { start, stop, num };
   return ENGINE.runKernel(LinSpace, {}, attrs);
 }
-function localResponseNormalization_(x, depthRadius = 5, bias = 1, alpha = 1, beta = 0.5) {
+function localResponseNormalization_(x, depthRadius = 5, bias = 1, alpha2 = 1, beta = 0.5) {
   const $x = convertToTensor(x, "x", "localResponseNormalization");
   assert($x.rank === 4 || $x.rank === 3, () => `Error in localResponseNormalization: x must be rank 3 or 4 but got
                rank ${$x.rank}.`);
@@ -11995,7 +11997,7 @@ function localResponseNormalization_(x, depthRadius = 5, bias = 1, alpha = 1, be
     x4D = reshape($x, [1, $x.shape[0], $x.shape[1], $x.shape[2]]);
   }
   const inputs = { x: x4D };
-  const attrs = { depthRadius, bias, alpha, beta };
+  const attrs = { depthRadius, bias, alpha: alpha2, beta };
   const res = ENGINE.runKernel(LRN, inputs, attrs);
   if (reshapedTo4D) {
     return reshape(res, [res.shape[1], res.shape[2], res.shape[3]]);
@@ -12652,9 +12654,9 @@ function pow_(base2, exp5) {
   return ENGINE.runKernel(Pow, inputs);
 }
 var pow = op({ pow_ });
-function prelu_(x, alpha) {
+function prelu_(x, alpha2) {
   const $x = convertToTensor(x, "x", "prelu");
-  const $alpha = convertToTensor(alpha, "alpha", "prelu");
+  const $alpha = convertToTensor(alpha2, "alpha", "prelu");
   const inputs = { x: $x, alpha: $alpha };
   return ENGINE.runKernel(Prelu, inputs);
 }
@@ -12740,17 +12742,17 @@ var MPRandGauss = class {
   }
 };
 var RandGamma = class {
-  constructor(alpha, beta, dtype, seed) {
-    this.alpha = alpha;
+  constructor(alpha2, beta, dtype, seed) {
+    this.alpha = alpha2;
     this.beta = 1 / beta;
     this.dtype = dtype;
     const seedValue = seed ? seed : Math.random();
     this.randu = seedrandom.alea(seedValue.toString());
     this.randn = new MPRandGauss(0, 1, dtype, false, this.randu());
-    if (alpha < 1) {
-      this.d = alpha + 2 / 3;
+    if (alpha2 < 1) {
+      this.d = alpha2 + 2 / 3;
     } else {
-      this.d = alpha - 1 / 3;
+      this.d = alpha2 - 1 / 3;
     }
     this.c = 1 / Math.sqrt(9 * this.d);
   }
@@ -12810,7 +12812,7 @@ var UniformRandom = class {
     return this.convertValue(this.min + this.range * this.random());
   }
 };
-function randomGamma_(shape, alpha, beta = 1, dtype = "float32", seed) {
+function randomGamma_(shape, alpha2, beta = 1, dtype = "float32", seed) {
   if (beta == null) {
     beta = 1;
   }
@@ -12820,7 +12822,7 @@ function randomGamma_(shape, alpha, beta = 1, dtype = "float32", seed) {
   if (dtype !== "float32" && dtype !== "int32") {
     throw new Error(`Unsupported data type ${dtype}`);
   }
-  const rgamma = new RandGamma(alpha, beta, dtype, seed);
+  const rgamma = new RandGamma(alpha2, beta, dtype, seed);
   const res = buffer(shape, dtype);
   for (let i = 0; i < res.values.length; i++) {
     res.values[i] = rgamma.nextValue();
@@ -13163,10 +13165,10 @@ function stack_(tensors, axis = 0) {
   return ENGINE.runKernel(Pack, inputs, attrs);
 }
 var stack = op({ stack_ });
-function step_(x, alpha = 0) {
+function step_(x, alpha2 = 0) {
   const $x = convertToTensor(x, "x", "step");
   const inputs = { x: $x };
-  const attrs = { alpha };
+  const attrs = { alpha: alpha2 };
   return ENGINE.runKernel(Step, inputs, attrs);
 }
 var step = op({ step_ });
@@ -13343,9 +13345,9 @@ async function whereAsync_(condition) {
   return res;
 }
 var whereAsync = whereAsync_;
-async function booleanMaskAsync_(tensor2, mask, axis) {
+async function booleanMaskAsync_(tensor2, mask3, axis) {
   const $tensor = convertToTensor(tensor2, "tensor", "boolMask");
-  const $mask = convertToTensor(mask, "mask", "boolMask", "bool");
+  const $mask = convertToTensor(mask3, "mask", "boolMask", "bool");
   const axisFrom = axis == null ? 0 : axis;
   const maskDim = $mask.rank;
   const tensorShape = $tensor.shape;
@@ -13364,7 +13366,7 @@ async function booleanMaskAsync_(tensor2, mask, axis) {
   if (tensor2 !== $tensor) {
     $tensor.dispose();
   }
-  if (mask !== $mask) {
+  if (mask3 !== $mask) {
     $mask.dispose();
   }
   indices.dispose();
@@ -16791,9 +16793,9 @@ var leakyReluGradConfig = {
   inputsToSave: ["x"],
   gradFunc: (dy, saved, attrs) => {
     const [x] = saved;
-    const { alpha } = attrs;
-    const mask = greater(x, 0);
-    return { x: () => where(mask, dy, mul(dy, alpha)) };
+    const { alpha: alpha2 } = attrs;
+    const mask3 = greater(x, 0);
+    return { x: () => where(mask3, dy, mul(dy, alpha2)) };
   }
 };
 var log1pGradConfig = {
@@ -16828,9 +16830,9 @@ var logSoftmaxGradConfig = {
     };
   }
 };
-function localResponseNormalizationBackprop_(x, y, dy, depthRadius = 5, bias = 1, alpha = 1, beta = 0.5) {
+function localResponseNormalizationBackprop_(x, y, dy, depthRadius = 5, bias = 1, alpha2 = 1, beta = 0.5) {
   const inputs = { x, y, dy };
-  const attrs = { depthRadius, bias, alpha, beta };
+  const attrs = { depthRadius, bias, alpha: alpha2, beta };
   return ENGINE.runKernel(LRNGrad, inputs, attrs);
 }
 var localResponseNormalizationBackprop = op({ localResponseNormalizationBackprop_ });
@@ -16840,9 +16842,9 @@ var lrnGradConfig = {
   outputsToSave: [true],
   gradFunc: (dy, saved, attrs) => {
     const [x, y] = saved;
-    const { depthRadius, bias, alpha, beta } = attrs;
+    const { depthRadius, bias, alpha: alpha2, beta } = attrs;
     return {
-      x: () => localResponseNormalizationBackprop(x, y, dy, depthRadius, bias, alpha, beta)
+      x: () => localResponseNormalizationBackprop(x, y, dy, depthRadius, bias, alpha2, beta)
     };
   }
 };
@@ -17150,17 +17152,17 @@ var preluGradConfig = {
   kernelName: Prelu,
   inputsToSave: ["x", "alpha"],
   gradFunc: (dy, saved) => {
-    const [x, alpha] = saved;
-    const mask = greater(x, 0);
+    const [x, alpha2] = saved;
+    const mask3 = greater(x, 0);
     return {
-      x: () => where(mask, dy, mul(dy, alpha)),
+      x: () => where(mask3, dy, mul(dy, alpha2)),
       alpha: () => {
-        let res = where(mask, zerosLike(dy), mul(dy, x));
-        const reduceAxes = getReductionAxes(alpha.shape, dy.shape);
+        let res = where(mask3, zerosLike(dy), mul(dy, x));
+        const reduceAxes = getReductionAxes(alpha2.shape, dy.shape);
         if (reduceAxes.length > 0) {
           res = sum2(res, reduceAxes);
         }
-        return reshape(res, alpha.shape);
+        return reshape(res, alpha2.shape);
       }
     };
   }
@@ -17204,8 +17206,8 @@ var relu6GradConfig = {
   inputsToSave: ["x"],
   gradFunc: (dy, saved) => {
     const [x] = saved;
-    const mask = mul(lessEqual(x, 6), step(x));
-    return { x: () => mul(dy, cast(mask, "float32")) };
+    const mask3 = mul(lessEqual(x, 6), step(x));
+    return { x: () => mul(dy, cast(mask3, "float32")) };
   }
 };
 var reluGradConfig = {
@@ -17285,12 +17287,12 @@ var seluGradConfig = {
     const [x] = saved;
     return {
       x: () => {
-        const mask = greater(x, scalar(0));
+        const mask3 = greater(x, scalar(0));
         const scaleAlpha2 = scalar(SELU_SCALEALPHA);
         const scale22 = scalar(SELU_SCALE);
         const greaterThanZeroDer = mul(dy, scale22);
         const lessEqualZeroDer = mul(mul(dy, scaleAlpha2), exp(cast(x, "float32")));
-        return where(mask, greaterThanZeroDer, lessEqualZeroDer);
+        return where(mask3, greaterThanZeroDer, lessEqualZeroDer);
       }
     };
   }
@@ -18501,9 +18503,9 @@ function biasAdd(x, bias, dataFormat) {
     return add2(x, reshapeBias(x.rank, bias, dataFormat));
   });
 }
-function elu2(x, alpha = 1) {
-  if (alpha !== 1) {
-    throw new NotImplementedError(`Support for alpha values other than 1 (${alpha}) is not implemented yet.`);
+function elu2(x, alpha2 = 1) {
+  if (alpha2 !== 1) {
+    throw new NotImplementedError(`Support for alpha values other than 1 (${alpha2}) is not implemented yet.`);
   }
   return elu(x);
 }
@@ -19619,11 +19621,11 @@ var Layer = class extends serialization_exports.Serializable {
   computeOutputShape(inputShape) {
     return inputShape;
   }
-  computeMask(inputs, mask) {
+  computeMask(inputs, mask3) {
     if (!this.supportsMasking) {
-      if (mask != null) {
-        if (Array.isArray(mask)) {
-          mask.forEach((maskElement) => {
+      if (mask3 != null) {
+        if (Array.isArray(mask3)) {
+          mask3.forEach((maskElement) => {
             if (maskElement != null) {
               throw new TypeError(`Layer ${this.name} does not support masking, but was passed an inputMask.`);
             }
@@ -19634,7 +19636,7 @@ var Layer = class extends serialization_exports.Serializable {
       }
       return null;
     }
-    return mask;
+    return mask3;
   }
   addInboundNode(inputTensors, outputTensors, inputMasks, outputMasks, inputShapes, outputShapes, kwargs = null) {
     const inputTensorList = toList(inputTensors);
@@ -20791,12 +20793,12 @@ var FeedDict = class {
       }
     }
   }
-  add(key, value, mask) {
+  add(key, value, mask3) {
     if (this.id2Value[key.id] == null) {
       this.id2Value[key.id] = assertFeedCompatibility(key, value);
       this.name2Id[key.name] = key.id;
-      if (mask != null) {
-        this.id2Mask[key.id] = mask;
+      if (mask3 != null) {
+        this.id2Mask[key.id] = mask3;
       }
     } else {
       throw new ValueError(`Duplicate key: name=${key.name}, id=${key.id}`);
@@ -20905,10 +20907,10 @@ function execute(fetches, feedDict, kwargs, probe) {
     let maskExists = false;
     for (const input2 of symbolic.inputs) {
       const value = internalFeedDict.getValue(input2);
-      const mask = internalFeedDict.getMask(input2);
+      const mask3 = internalFeedDict.getMask(input2);
       inputValues.push(value);
-      inputMasks.push(mask);
-      if (mask != null) {
+      inputMasks.push(mask3);
+      if (mask3 != null) {
         maskExists = true;
       }
       if (!training) {
@@ -21381,14 +21383,14 @@ var Container = class extends Layer {
       return execute(this.outputs, feedDict, kwargs);
     });
   }
-  computeMask(inputs, mask) {
+  computeMask(inputs, mask3) {
     return tidy(() => {
       inputs = toList(inputs);
       let masks;
-      if (mask == null) {
+      if (mask3 == null) {
         masks = pyListRepeat(null, inputs.length);
       } else {
-        masks = toList(mask);
+        masks = toList(mask3);
       }
       return this.runInternalGraph(inputs, masks)[1];
     });
@@ -21457,8 +21459,8 @@ var Container = class extends Layer {
     for (let i = 0; i < this.inputs.length; ++i) {
       const x = this.inputs[i];
       const y = inputs[i];
-      const mask = masks[i];
-      tensorMap[x.id] = [y, mask];
+      const mask3 = masks[i];
+      tensorMap[x.id] = [y, mask3];
     }
     const depthKeys = Object.keys(this.nodesByDepth).map((x) => parseInt(x, 10)).sort(reverseNumberCompare);
     for (const depth of depthKeys) {
@@ -21506,8 +21508,8 @@ var Container = class extends Layer {
           for (let i = 0; i < referenceOutputTensors.length; ++i) {
             const x = referenceOutputTensors[i];
             const y = outputTensors2[i];
-            const mask = outputMasks2[i];
-            tensorMap[x.id] = [y, mask];
+            const mask3 = outputMasks2[i];
+            tensorMap[x.id] = [y, mask3];
           }
         }
       }
@@ -21517,10 +21519,10 @@ var Container = class extends Layer {
     const outputShapes = [];
     for (const x of this.outputs) {
       assert2(x.id in tensorMap, `Could not compute output ${x.name} : ${x.id}`);
-      const [tensor2, mask] = tensorMap[x.id];
+      const [tensor2, mask3] = tensorMap[x.id];
       outputShapes.push(tensor2.shape);
       outputTensors.push(tensor2);
-      outputMasks.push(mask);
+      outputMasks.push(mask3);
     }
     return [outputTensors, outputMasks, outputShapes];
   }
@@ -23556,8 +23558,8 @@ var Activation2 = class extends serialization_exports.Serializable {
   }
 };
 var Elu2 = class extends Activation2 {
-  apply(x, alpha = 1) {
-    return elu2(x, alpha);
+  apply(x, alpha2 = 1) {
+    return elu2(x, alpha2);
   }
 };
 Elu2.className = "elu";
@@ -23640,8 +23642,8 @@ var LogSoftmax2 = class extends Activation2 {
 LogSoftmax2.className = "logSoftmax";
 serialization_exports.registerClass(LogSoftmax2);
 var Swish = class extends Activation2 {
-  apply(x, alpha = 1) {
-    return tidy(() => mul(sigmoid(mul(x, alpha)), x));
+  apply(x, alpha2 = 1) {
+    return tidy(() => mul(sigmoid(mul(x, alpha2)), x));
   }
 };
 Swish.className = "swish";
@@ -24826,7 +24828,7 @@ function standardizeArgs(inputs, initialState, constants, numConstants) {
   constants = toListOrNull(constants);
   return { inputs, initialState, constants };
 }
-function rnn(stepFunction, inputs, initialStates, goBackwards = false, mask, constants, unroll = false, needPerStepOutputs = false) {
+function rnn(stepFunction, inputs, initialStates, goBackwards = false, mask3, constants, unroll = false, needPerStepOutputs = false) {
   return tidy(() => {
     const ndim = inputs.shape.length;
     if (ndim < 3) {
@@ -24840,17 +24842,17 @@ function rnn(stepFunction, inputs, initialStates, goBackwards = false, mask, con
     if (unroll) {
       console.warn("Backend rnn(): the unroll = true option is not applicable to the imperative deeplearn.js backend.");
     }
-    if (mask != null) {
-      mask = cast(cast(mask, "bool"), "float32");
-      if (mask.rank === ndim - 1) {
-        mask = expandDims(mask, -1);
+    if (mask3 != null) {
+      mask3 = cast(cast(mask3, "bool"), "float32");
+      if (mask3.rank === ndim - 1) {
+        mask3 = expandDims(mask3, -1);
       }
-      mask = transpose(mask, axes);
+      mask3 = transpose(mask3, axes);
     }
     if (goBackwards) {
       inputs = reverse(inputs, 0);
-      if (mask != null) {
-        mask = reverse(mask, 0);
+      if (mask3 != null) {
+        mask3 = reverse(mask3, 0);
       }
     }
     const perStepOutputs = [];
@@ -24859,13 +24861,13 @@ function rnn(stepFunction, inputs, initialStates, goBackwards = false, mask, con
     const timeSteps = inputs.shape[0];
     const perStepInputs = unstack(inputs);
     let perStepMasks;
-    if (mask != null) {
-      perStepMasks = unstack(mask);
+    if (mask3 != null) {
+      perStepMasks = unstack(mask3);
     }
     for (let t = 0; t < timeSteps; ++t) {
       const currentInput = perStepInputs[t];
       const stepOutputs = tidy(() => stepFunction(currentInput, states));
-      if (mask == null) {
+      if (mask3 == null) {
         lastOutput = stepOutputs[0];
         states = stepOutputs[1];
       } else {
@@ -24957,12 +24959,12 @@ var _RNN = class extends Layer {
       return outputShape;
     }
   }
-  computeMask(inputs, mask) {
+  computeMask(inputs, mask3) {
     return tidy(() => {
-      if (Array.isArray(mask)) {
-        mask = mask[0];
+      if (Array.isArray(mask3)) {
+        mask3 = mask3[0];
       }
-      const outputMask = this.returnSequences ? mask : null;
+      const outputMask = this.returnSequences ? mask3 : null;
       if (this.returnState) {
         const stateMask = this.states.map((s) => null);
         return [outputMask].concat(stateMask);
@@ -25113,7 +25115,7 @@ var _RNN = class extends Layer {
   }
   call(inputs, kwargs) {
     return tidy(() => {
-      const mask = kwargs == null ? null : kwargs["mask"];
+      const mask3 = kwargs == null ? null : kwargs["mask"];
       const training = kwargs == null ? null : kwargs["training"];
       let initialState = kwargs == null ? null : kwargs["initialState"];
       inputs = getExactlyOneTensor(inputs);
@@ -25136,7 +25138,7 @@ var _RNN = class extends Layer {
         const outputs2 = this.cell.call([inputs2].concat(states2), cellCallKwargs);
         return [outputs2[0], outputs2.slice(1)];
       };
-      const rnnOutputs = rnn(step5, inputs, initialState, this.goBackwards, mask, null, this.unroll, this.returnSequences);
+      const rnnOutputs = rnn(step5, inputs, initialState, this.goBackwards, mask3, null, this.unroll, this.returnSequences);
       const lastOutput = rnnOutputs[0];
       const outputs = rnnOutputs[1];
       const states = rnnOutputs[2];
@@ -25339,10 +25341,10 @@ var SimpleRNN = class extends RNN {
         dispose(this.cell.recurrentDropoutMask);
         this.cell.recurrentDropoutMask = null;
       }
-      const mask = kwargs == null ? null : kwargs["mask"];
+      const mask3 = kwargs == null ? null : kwargs["mask"];
       const training = kwargs == null ? null : kwargs["training"];
       const initialState = kwargs == null ? null : kwargs["initialState"];
-      return super.call(inputs, { mask, training, initialState });
+      return super.call(inputs, { mask: mask3, training, initialState });
     });
   }
   static fromConfig(cls, config3) {
@@ -25499,10 +25501,10 @@ var GRU = class extends RNN {
         dispose(this.cell.recurrentDropoutMask);
         this.cell.recurrentDropoutMask = null;
       }
-      const mask = kwargs == null ? null : kwargs["mask"];
+      const mask3 = kwargs == null ? null : kwargs["mask"];
       const training = kwargs == null ? null : kwargs["training"];
       const initialState = kwargs == null ? null : kwargs["initialState"];
-      return super.call(inputs, { mask, training, initialState });
+      return super.call(inputs, { mask: mask3, training, initialState });
     });
   }
   static fromConfig(cls, config3) {
@@ -25675,10 +25677,10 @@ var LSTM = class extends RNN {
         dispose(this.cell.recurrentDropoutMask);
         this.cell.recurrentDropoutMask = null;
       }
-      const mask = kwargs == null ? null : kwargs["mask"];
+      const mask3 = kwargs == null ? null : kwargs["mask"];
       const training = kwargs == null ? null : kwargs["training"];
       const initialState = kwargs == null ? null : kwargs["initialState"];
-      return super.call(inputs, { mask, training, initialState });
+      return super.call(inputs, { mask: mask3, training, initialState });
     });
   }
   static fromConfig(cls, config3) {
@@ -25856,10 +25858,10 @@ var ConvRNN2D = class extends RNN {
       if (kwargs && kwargs["constants"]) {
         throw new ValueError("ConvRNN2D cell does not support constants");
       }
-      const mask = kwargs == null ? null : kwargs["mask"];
+      const mask3 = kwargs == null ? null : kwargs["mask"];
       const training = kwargs == null ? null : kwargs["training"];
       const initialState = kwargs == null ? null : kwargs["initialState"];
-      return super.call(inputs, { mask, training, initialState });
+      return super.call(inputs, { mask: mask3, training, initialState });
     });
   }
   computeOutputShape(inputShape) {
@@ -26030,11 +26032,11 @@ var ConvLSTM2DCell = class extends LSTMCell {
         });
       }
       const dropoutMask = this.dropoutMask;
-      const applyDropout = (x2, mask, index2) => {
-        if (!mask || !mask[index2]) {
+      const applyDropout = (x2, mask3, index2) => {
+        if (!mask3 || !mask3[index2]) {
           return x2;
         }
-        return mul(mask[index2], x2);
+        return mul(mask3[index2], x2);
       };
       let xI = applyDropout(x, dropoutMask, 0);
       let xF = applyDropout(x, dropoutMask, 1);
@@ -26484,7 +26486,7 @@ var Masking = class extends Layer {
     Object.assign(config3, baseConfig);
     return config3;
   }
-  computeMask(inputs, mask) {
+  computeMask(inputs, mask3) {
     const input2 = getExactlyOneTensor(inputs);
     const axis = -1;
     return any(notEqual(input2, this.maskValue), axis);
@@ -26537,7 +26539,7 @@ var Embedding = class extends Layer {
   }
   warnOnIncompatibleInputShape(inputShape) {
   }
-  computeMask(inputs, mask) {
+  computeMask(inputs, mask3) {
     return tidy(() => {
       if (!this.maskZero) {
         return null;
@@ -26748,27 +26750,27 @@ var Merge = class extends Layer {
     }
     return outputShape;
   }
-  computeMask(inputs, mask) {
+  computeMask(inputs, mask3) {
     return tidy(() => {
-      if (mask == null) {
+      if (mask3 == null) {
         return null;
       }
-      if (!Array.isArray(mask)) {
+      if (!Array.isArray(mask3)) {
         throw new ValueError("`mask` should be an Array");
       }
       if (!Array.isArray(inputs)) {
         throw new ValueError("`inputs` should be an Array");
       }
-      if (mask.length !== inputs.length) {
-        throw new ValueError(`The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths (${inputs.length} vs ${mask.length})`);
+      if (mask3.length !== inputs.length) {
+        throw new ValueError(`The Array 'inputs' and 'mask' are expected to have the same length, but have different lengths (${inputs.length} vs ${mask3.length})`);
       }
-      if (mask.every((m) => m == null)) {
+      if (mask3.every((m) => m == null)) {
         return null;
       }
-      mask = mask.map((m) => m == null ? m : expandDims(m, 0));
-      let output = mask[0];
-      for (let i = 1; i < mask.length - 1; ++i) {
-        output = logicalAnd(output, mask[i]);
+      mask3 = mask3.map((m) => m == null ? m : expandDims(m, 0));
+      let output = mask3[0];
+      for (let i = 1; i < mask3.length - 1; ++i) {
+        output = logicalAnd(output, mask3[i]);
       }
       return output;
     });
@@ -26920,22 +26922,22 @@ var Concatenate = class extends Merge {
     }
     return outputShape;
   }
-  computeMask(inputs, mask) {
-    if (mask == null) {
+  computeMask(inputs, mask3) {
+    if (mask3 == null) {
       return null;
     }
-    if (!Array.isArray(mask)) {
+    if (!Array.isArray(mask3)) {
       throw new ValueError("`mask` should be an array for Concatenate");
     }
     if (!Array.isArray(inputs)) {
       throw new ValueError("`inputs` should be an array for Concatenate");
     }
-    if (mask.length !== inputs.length) {
-      throw new ValueError(`Mismatch in the length of mask (${mask.length}) and the legnth of inputs (${inputs.length})`);
+    if (mask3.length !== inputs.length) {
+      throw new ValueError(`Mismatch in the length of mask (${mask3.length}) and the legnth of inputs (${inputs.length})`);
     }
     return tidy(() => {
       let allNullMasks = true;
-      mask.forEach((m) => {
+      mask3.forEach((m) => {
         if (m != null) {
           allNullMasks = false;
           return;
@@ -26946,12 +26948,12 @@ var Concatenate = class extends Merge {
       }
       const outputMasks = [];
       for (let i = 0; i < inputs.length; ++i) {
-        if (mask[i] == null) {
+        if (mask3[i] == null) {
           outputMasks.push(cast(onesLike(inputs[i]), "bool"));
-        } else if (mask[i].rank < inputs[i].rank) {
-          outputMasks.push(expandDims(mask[i], -1));
+        } else if (mask3[i].rank < inputs[i].rank) {
+          outputMasks.push(expandDims(mask3[i], -1));
         } else {
-          outputMasks.push(mask[i]);
+          outputMasks.push(mask3[i]);
         }
       }
       const concatenatedMasks = concat(outputMasks, this.axis);
@@ -27113,7 +27115,7 @@ var Dot = class extends Merge {
     }
     return outputShape;
   }
-  computeMask(inputs, mask) {
+  computeMask(inputs, mask3) {
     return null;
   }
   getConfig() {
@@ -27212,9 +27214,9 @@ var AlphaDropout = class extends Layer {
         const noiseShape = this._getNoiseShape(inputs);
         const droppedInputs = () => {
           const input2 = getExactlyOneTensor(inputs);
-          const alpha = 1.6732632423543772;
+          const alpha2 = 1.6732632423543772;
           const scale22 = 1.0507009873554805;
-          const alphaP = -alpha * scale22;
+          const alphaP = -alpha2 * scale22;
           let keptIdx = greaterEqual(randomUniform(noiseShape), this.rate);
           keptIdx = cast2(keptIdx, "float32");
           const a = ((1 - this.rate) * (1 + this.rate * alphaP ** 2)) ** -0.5;
@@ -28305,16 +28307,16 @@ var Bidirectional = class extends Wrapper {
     });
     this.built = true;
   }
-  computeMask(inputs, mask) {
-    if (Array.isArray(mask)) {
-      mask = mask[0];
+  computeMask(inputs, mask3) {
+    if (Array.isArray(mask3)) {
+      mask3 = mask3[0];
     }
     let outputMask;
     if (this.returnSequences) {
       if (this.mergeMode == null) {
-        outputMask = [mask, mask];
+        outputMask = [mask3, mask3];
       } else {
-        outputMask = mask;
+        outputMask = mask3;
       }
     } else {
       if (this.mergeMode == null) {
@@ -41017,13 +41019,13 @@ var eluConfig = {
 function leakyRelu2(args) {
   const { inputs, backend: backend22, attrs } = args;
   const { x } = inputs;
-  const { alpha } = attrs;
+  const { alpha: alpha2 } = attrs;
   assertNotComplex([x], "leakyRelu");
   const xSize = util_exports.sizeFromShape(x.shape);
   const xVals = backend22.data.get(x.dataId).values;
   const outVals = util_exports.getTypedArrayFromDType("float32", xSize);
   for (let i = 0; i < xVals.length; i++) {
-    outVals[i] = xVals[i] < 0 ? alpha * xVals[i] : xVals[i];
+    outVals[i] = xVals[i] < 0 ? alpha2 * xVals[i] : xVals[i];
   }
   return backend22.makeTensorInfo(x.shape, "float32", outVals);
 }
@@ -41035,11 +41037,11 @@ var leakyReluConfig = {
 var preluImpl = createSimpleBinaryKernelImpl((xValue, aValue) => xValue < 0 ? aValue * xValue : xValue);
 function prelu3(args) {
   const { inputs, backend: backend22 } = args;
-  const { x, alpha } = inputs;
-  assertNotComplex([x, alpha], "prelu");
+  const { x, alpha: alpha2 } = inputs;
+  assertNotComplex([x, alpha2], "prelu");
   const aVals = backend22.data.get(x.dataId).values;
-  const bVals = backend22.data.get(alpha.dataId).values;
-  const [resultData, resultShape] = preluImpl(x.shape, alpha.shape, aVals, bVals, "float32");
+  const bVals = backend22.data.get(alpha2.dataId).values;
+  const [resultData, resultShape] = preluImpl(x.shape, alpha2.shape, aVals, bVals, "float32");
   return backend22.makeTensorInfo(resultShape, "float32", resultData);
 }
 var preluConfig = {
@@ -43736,7 +43738,7 @@ var logicalOrConfig = {
 function lRN(args) {
   const { inputs, backend: backend22, attrs } = args;
   const { x } = inputs;
-  const { depthRadius, bias, alpha, beta } = attrs;
+  const { depthRadius, bias, alpha: alpha2, beta } = attrs;
   assertNotComplex(x, "LRN");
   const channels = x.shape[3];
   const maxD = channels - 1;
@@ -43756,7 +43758,7 @@ function lRN(args) {
   }
   for (let offset = 0; offset < size2; offset++) {
     const sum7 = sumAcrossChannels(offset);
-    const val = xValues[offset] * Math.pow(bias + alpha * sum7, -beta);
+    const val = xValues[offset] * Math.pow(bias + alpha2 * sum7, -beta);
     result[offset] = val;
   }
   return backend22.makeTensorInfo(x.shape, x.dtype, result);
@@ -43769,7 +43771,7 @@ var lRNConfig = {
 function lRNGrad(args) {
   const { inputs, backend: backend22, attrs } = args;
   const { x, y, dy } = inputs;
-  const { depthRadius, bias, alpha, beta } = attrs;
+  const { depthRadius, bias, alpha: alpha2, beta } = attrs;
   assertNotComplex(dy, "LRNGrad");
   const dySize = util_exports.sizeFromShape(dy.shape);
   const channels = dy.shape[3];
@@ -43786,9 +43788,9 @@ function lRNGrad(args) {
     for (let k = depthBegin; k < depthEnd; k++) {
       norm2 += Math.pow(xValues[k], 2);
     }
-    norm2 = alpha * norm2 + bias;
+    norm2 = alpha2 * norm2 + bias;
     for (let k = depthBegin; k < depthEnd; k++) {
-      let dyi = -2 * alpha * beta * xValues[k] * yValues[offset] / norm2;
+      let dyi = -2 * alpha2 * beta * xValues[k] * yValues[offset] / norm2;
       if (offset === k) {
         dyi += Math.pow(norm2, -beta);
       }
@@ -43928,12 +43930,12 @@ function maxPool3DGrad(args) {
                   }
                   const maxPos = effectiveFilterDepth * effectiveFilterHeight * effectiveFilterWidth - 1 - maxPosBuf.get(batch, dyDepth, dyRow, dyCol, channel);
                   const curPos = wDepth * effectiveFilterHeight * effectiveFilterWidth + wRow * effectiveFilterWidth + wCol;
-                  const mask = maxPos === curPos ? 1 : 0;
-                  if (mask === 0) {
+                  const mask3 = maxPos === curPos ? 1 : 0;
+                  if (mask3 === 0) {
                     continue;
                   }
                   const pixel = dyBuf.get(batch, dyDepth, dyRow, dyCol, channel);
-                  dotProd += pixel * mask;
+                  dotProd += pixel * mask3;
                 }
               }
             }
@@ -43989,12 +43991,12 @@ function maxPoolGrad2(args) {
               }
               const maxPos = effectiveFilterHeight * effectiveFilterWidth - 1 - maxPosBuf.get(b, dyR, dyC, d);
               const curPos = wR * effectiveFilterWidth + wC;
-              const mask = maxPos === curPos ? 1 : 0;
-              if (mask === 0) {
+              const mask3 = maxPos === curPos ? 1 : 0;
+              if (mask3 === 0) {
                 continue;
               }
               const pixel = dyBuf.get(b, dyR, dyC, d);
-              dotProd += pixel * mask;
+              dotProd += pixel * mask3;
             }
           }
           dx.set(dotProd, b, dxR, dxC, d);
@@ -45524,13 +45526,13 @@ function unsortedSegmentSum2(args) {
   for (let i = 0; i < numSegments; ++i) {
     const scalarValue = util_exports.createScalarValue(i, "int32");
     const segmentId = backend22.makeTensorInfo([], "int32", scalarValue);
-    const mask = equal2({ inputs: { a: segmentId, b: $segmentIds }, backend: backend22 });
-    const maskCasted = cast3({ inputs: { x: mask }, backend: backend22, attrs: { dtype: "float32" } });
+    const mask3 = equal2({ inputs: { a: segmentId, b: $segmentIds }, backend: backend22 });
+    const maskCasted = cast3({ inputs: { x: mask3 }, backend: backend22, attrs: { dtype: "float32" } });
     const mul2 = multiply2({ inputs: { a: maskCasted, b: x }, backend: backend22 });
     const sumTensorInfo = sum3({ inputs: { x: mul2 }, backend: backend22, attrs: { axis: 0, keepDims: false } });
     res.push(sumTensorInfo);
     intermediates.push(segmentId);
-    intermediates.push(mask);
+    intermediates.push(mask3);
     intermediates.push(maskCasted);
     intermediates.push(mul2);
     intermediates.push(sumTensorInfo);
@@ -50586,8 +50588,8 @@ var LEAKYRELU_PACKED = `
 function leakyRelu3(args) {
   const { inputs, backend: backend22, attrs } = args;
   const { x } = inputs;
-  const { alpha } = attrs;
-  const $alpha = backend22.makeTensorInfo([], "float32", util_exports.createScalarValue(alpha, "float32"));
+  const { alpha: alpha2 } = attrs;
+  const $alpha = backend22.makeTensorInfo([], "float32", util_exports.createScalarValue(alpha2, "float32"));
   const program = env().getBool("WEBGL_PACK_BINARY_OPERATIONS") ? new BinaryOpPackedProgram(LEAKYRELU_PACKED, x.shape, $alpha.shape) : new BinaryOpProgram(LEAKYRELU, x.shape, $alpha.shape);
   const result = backend22.runWebGLProgram(program, [x, $alpha], "float32");
   backend22.disposeIntermediateTensorInfo($alpha);
@@ -50605,9 +50607,9 @@ var PRELU_PACKED = `
 `;
 function prelu4(args) {
   const { inputs, backend: backend22 } = args;
-  const { x, alpha } = inputs;
-  const program = env().getBool("WEBGL_PACK_BINARY_OPERATIONS") ? new BinaryOpPackedProgram(PRELU_PACKED, x.shape, alpha.shape) : new BinaryOpProgram(PRELU, x.shape, alpha.shape);
-  return backend22.runWebGLProgram(program, [x, alpha], "float32");
+  const { x, alpha: alpha2 } = inputs;
+  const program = env().getBool("WEBGL_PACK_BINARY_OPERATIONS") ? new BinaryOpPackedProgram(PRELU_PACKED, x.shape, alpha2.shape) : new BinaryOpProgram(PRELU, x.shape, alpha2.shape);
+  return backend22.runWebGLProgram(program, [x, alpha2], "float32");
 }
 var preluConfig2 = {
   kernelName: Prelu,
@@ -55995,14 +55997,14 @@ var logicalOrConfig2 = {
   kernelFunc: logicalOr3
 };
 var LRNProgram = class {
-  constructor(xShape, radius, bias, alpha, beta) {
+  constructor(xShape, radius, bias, alpha2, beta) {
     this.variableNames = ["x"];
     this.outputShape = [];
     const rad = radius;
     const maxD = xShape[3] - 1;
     this.outputShape = xShape;
     let powOperator;
-    const basis = `float(${bias}) + float(${alpha}) * sum`;
+    const basis = `float(${bias}) + float(${alpha2}) * sum`;
     if (beta === 0.5) {
       powOperator = `inversesqrt(${basis})`;
     } else if (beta === 1) {
@@ -56033,7 +56035,7 @@ var LRNProgram = class {
   }
 };
 var LRNPackedProgram = class {
-  constructor(xShape, radius, bias, alpha, beta) {
+  constructor(xShape, radius, bias, alpha2, beta) {
     this.variableNames = ["x"];
     this.outputShape = [];
     this.packedInputs = true;
@@ -56042,7 +56044,7 @@ var LRNPackedProgram = class {
     const maxD = xShape[3] - 1;
     this.outputShape = xShape;
     let powOperator;
-    const basis = `float(${bias}) + float(${alpha}) * sum`;
+    const basis = `float(${bias}) + float(${alpha2}) * sum`;
     if (beta === 0.5) {
       powOperator = `inversesqrt(${basis})`;
     } else if (beta === 1) {
@@ -56118,8 +56120,8 @@ var LRNPackedProgram = class {
 var lrn = (args) => {
   const { inputs, backend: backend22, attrs } = args;
   const { x } = inputs;
-  const { depthRadius, bias, alpha, beta } = attrs;
-  const program = env().getBool("WEBGL_PACK_NORMALIZATION") ? new LRNPackedProgram(x.shape, depthRadius, bias, alpha, beta) : new LRNProgram(x.shape, depthRadius, bias, alpha, beta);
+  const { depthRadius, bias, alpha: alpha2, beta } = attrs;
+  const program = env().getBool("WEBGL_PACK_NORMALIZATION") ? new LRNPackedProgram(x.shape, depthRadius, bias, alpha2, beta) : new LRNProgram(x.shape, depthRadius, bias, alpha2, beta);
   return backend22.runWebGLProgram(program, [x], x.dtype);
 };
 var LRNConfig = {
@@ -56128,14 +56130,14 @@ var LRNConfig = {
   kernelFunc: lrn
 };
 var LRNGradProgram = class {
-  constructor(inputShape, depthRadius, bias, alpha, beta) {
+  constructor(inputShape, depthRadius, bias, alpha2, beta) {
     this.variableNames = ["inputImage", "outputImage", "dy"];
     this.outputShape = [];
     this.outputShape = inputShape;
     this.depth = inputShape[3];
     this.depthRadius = depthRadius;
     this.bias = bias;
-    this.alpha = alpha;
+    this.alpha = alpha2;
     this.beta = beta;
     this.userCode = `
       void main() {
@@ -56166,14 +56168,14 @@ var LRNGradProgram = class {
             }
           }
 
-          norm = float(${alpha}) * norm + float(${bias});
+          norm = float(${alpha2}) * norm + float(${bias});
 
           for(int k = MIN_DEPTH_BEGIN; k < MAX_DEPTH_END; ++k){
             if (k < depthBegin){
               continue;
             }
             else if (k >= depthBegin && k < depthEnd){
-              float dyi = -2.0 * float(${alpha})
+              float dyi = -2.0 * float(${alpha2})
                 * float(${beta})
                 * getInputImage(b ,r ,c, k) * getOutputImage(b, r, c, d)
                 / norm;
@@ -56198,8 +56200,8 @@ var LRNGradProgram = class {
 var lrnGrad = (args) => {
   const { inputs, backend: backend22, attrs } = args;
   const { x, y, dy } = inputs;
-  const { depthRadius, bias, alpha, beta } = attrs;
-  const program = new LRNGradProgram(x.shape, depthRadius, bias, alpha, beta);
+  const { depthRadius, bias, alpha: alpha2, beta } = attrs;
+  const program = new LRNGradProgram(x.shape, depthRadius, bias, alpha2, beta);
   return backend22.runWebGLProgram(program, [x, y, dy], x.dtype);
 };
 var LRNGradConfig = {
@@ -65126,9 +65128,9 @@ var powConfig3 = {
 };
 function prelu5(args) {
   const { inputs, backend: backend22 } = args;
-  const { x, alpha } = inputs;
-  const program = new BinaryOpProgram2(BinaryOpType.PRELU, x.shape, alpha.shape);
-  return backend22.runWebGPUProgram(program, [x, alpha], "float32");
+  const { x, alpha: alpha2 } = inputs;
+  const program = new BinaryOpProgram2(BinaryOpType.PRELU, x.shape, alpha2.shape);
+  return backend22.runWebGPUProgram(program, [x, alpha2], "float32");
 }
 var preluConfig3 = {
   kernelName: Prelu,
@@ -68915,12 +68917,12 @@ function setupFunc2(backend22) {
   ]);
 }
 function leakyRelu4(args) {
-  const { inputs: { x }, attrs: { alpha }, backend: backend22 } = args;
+  const { inputs: { x }, attrs: { alpha: alpha2 }, backend: backend22 } = args;
   const xId = backend22.dataIdMap.get(x.dataId).id;
   const out = backend22.makeOutput(x.shape, "float32");
   if (util_exports.sizeFromShape(x.shape) !== 0) {
     const outId = backend22.dataIdMap.get(out.dataId).id;
-    wasmFunc3(xId, CppDType[x.dtype], alpha, outId);
+    wasmFunc3(xId, CppDType[x.dtype], alpha2, outId);
   }
   return out;
 }
@@ -69401,9 +69403,9 @@ function setup31(backend22) {
 }
 function prelu6(args) {
   const { inputs, backend: backend22 } = args;
-  const { x, alpha } = inputs;
+  const { x, alpha: alpha2 } = inputs;
   const xId = backend22.dataIdMap.get(x.dataId).id;
-  const weightsId = backend22.dataIdMap.get(alpha.dataId).id;
+  const weightsId = backend22.dataIdMap.get(alpha2.dataId).id;
   let inputId = xId;
   const input2 = x;
   let castedInput = input2;
@@ -69804,12 +69806,12 @@ function setup40(backend22) {
 }
 function step4(args) {
   const { backend: backend22, inputs, attrs } = args;
-  const { alpha } = attrs;
+  const { alpha: alpha2 } = attrs;
   const { x } = inputs;
   const xId = backend22.dataIdMap.get(x.dataId).id;
   const out = backend22.makeOutput(x.shape, x.dtype);
   const outId = backend22.dataIdMap.get(out.dataId).id;
-  wasmStep(xId, alpha, CppDType[x.dtype], outId);
+  wasmStep(xId, alpha2, CppDType[x.dtype], outId);
   return out;
 }
 var stepConfig3 = {
@@ -75956,9 +75958,8 @@ var model9 = null;
 var inputSize5 = 0;
 var skipped7 = Number.MAX_SAFE_INTEGER;
 var lastTime6 = 0;
-var enlargeFact = 1.6;
 async function predict6(input2, config3) {
-  var _a, _b, _c, _d, _e, _f, _g, _h;
+  var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k;
   const skipTime = (((_a = config3.face.detector) == null ? void 0 : _a.skipTime) || 0) > now() - lastTime6;
   const skipFrame = skipped7 < (((_b = config3.face.detector) == null ? void 0 : _b.skipFrames) || 0);
   if (!config3.skipAllowed || !skipTime || !skipFrame || boxCache.length === 0) {
@@ -75972,7 +75973,7 @@ async function predict6(input2, config3) {
         landmarks: possible.landmarks,
         confidence: possible.confidence
       };
-      boxCache.push(squarifyBox(enlargeBox(scaleBoxCoordinates(box4, possibleBoxes.scaleFactor), Math.sqrt(enlargeFact))));
+      boxCache.push(squarifyBox(enlargeBox(scaleBoxCoordinates(box4, possibleBoxes.scaleFactor), Math.sqrt(((_c = config3.face.detector) == null ? void 0 : _c.cropFactor) || 1.6))));
     }
     skipped7 = 0;
   } else {
@@ -75996,14 +75997,14 @@ async function predict6(input2, config3) {
       faceScore: 0,
       annotations: {}
     };
-    [angle, rotationMatrix, face5.tensor] = correctFaceRotation(false, box4, input2, inputSize5);
-    if ((_d = config3 == null ? void 0 : config3.filter) == null ? void 0 : _d.equalization) {
+    [angle, rotationMatrix, face5.tensor] = correctFaceRotation(false, box4, input2, ((_e = config3.face.mesh) == null ? void 0 : _e.enabled) ? inputSize5 : size());
+    if ((_f = config3 == null ? void 0 : config3.filter) == null ? void 0 : _f.equalization) {
       const equilized = await histogramEqualization(face5.tensor);
       dispose(face5.tensor);
       face5.tensor = equilized;
     }
     face5.boxScore = Math.round(100 * box4.confidence) / 100;
-    if (!((_e = config3.face.mesh) == null ? void 0 : _e.enabled)) {
+    if (!((_g = config3.face.mesh) == null ? void 0 : _g.enabled)) {
       face5.box = getClampedBox(box4, input2);
       face5.boxRaw = getRawBox(box4, input2);
       face5.score = face5.boxScore;
@@ -76024,22 +76025,22 @@ async function predict6(input2, config3) {
       const coordsReshaped = reshape(contourCoords, [-1, 3]);
       let rawCoords = await coordsReshaped.array();
       dispose([contourCoords, coordsReshaped, confidence, contours]);
-      if (face5.faceScore < (((_f = config3.face.detector) == null ? void 0 : _f.minConfidence) || 1)) {
+      if (face5.faceScore < (((_h = config3.face.detector) == null ? void 0 : _h.minConfidence) || 1)) {
         box4.confidence = face5.faceScore;
       } else {
-        if ((_g = config3.face.iris) == null ? void 0 : _g.enabled)
+        if ((_i = config3.face.iris) == null ? void 0 : _i.enabled)
           rawCoords = await augmentIris(rawCoords, face5.tensor, config3, inputSize5);
         face5.mesh = transformRawCoords(rawCoords, box4, angle, rotationMatrix, inputSize5);
         face5.meshRaw = face5.mesh.map((pt) => [pt[0] / (input2.shape[2] || 0), pt[1] / (input2.shape[1] || 0), (pt[2] || 0) / inputSize5]);
         for (const key of Object.keys(meshAnnotations))
           face5.annotations[key] = meshAnnotations[key].map((index2) => face5.mesh[index2]);
-        box4 = squarifyBox({ ...enlargeBox(calculateLandmarksBoundingBox(face5.mesh), enlargeFact), confidence: box4.confidence });
+        box4 = squarifyBox({ ...enlargeBox(calculateLandmarksBoundingBox(face5.mesh), ((_j = config3.face.detector) == null ? void 0 : _j.cropFactor) || 1.6), confidence: box4.confidence });
         face5.box = getClampedBox(box4, input2);
         face5.boxRaw = getRawBox(box4, input2);
         face5.score = face5.faceScore;
         newCache.push(box4);
         dispose(face5.tensor);
-        [angle, rotationMatrix, face5.tensor] = correctFaceRotation((_h = config3.face.detector) == null ? void 0 : _h.rotation, box4, input2, inputSize5);
+        [angle, rotationMatrix, face5.tensor] = correctFaceRotation((_k = config3.face.detector) == null ? void 0 : _k.rotation, box4, input2, inputSize5);
       }
     }
     faces.push(face5);
@@ -80966,8 +80967,8 @@ async function process5(input2, background, config3) {
   if (!model15)
     await load15(config3);
   const inputImage = await process2(input2, config3);
-  const width = ((_a = inputImage.canvas) == null ? void 0 : _a.width) || 0;
-  const height = ((_b = inputImage.canvas) == null ? void 0 : _b.height) || 0;
+  const width = ((_a = inputImage.tensor) == null ? void 0 : _a.shape[2]) || 0;
+  const height = ((_b = inputImage.tensor) == null ? void 0 : _b.shape[1]) || 0;
   if (!inputImage.tensor)
     return { data: [], canvas: null, alpha: null };
   const t = {};
@@ -81024,7 +81025,7 @@ async function process5(input2, background, config3) {
   }
   Object.keys(t).forEach((tensor2) => dispose(t[tensor2]));
   busy = false;
-  return { data, canvas: mergedCanvas || compositeCanvas, alpha: alphaCanvas };
+  return { data, canvas: compositeCanvas, alpha: alphaCanvas };
 }
 
 // src/models.ts
@@ -81841,6 +81842,44 @@ async function all5(inCanvas2, result, drawOptions) {
   return promise;
 }
 
+// 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(face5) {
+  if (!face5.tensor)
+    return face5.tensor;
+  const width = face5.tensor.shape[2] || 0;
+  const height = face5.tensor.shape[1] || 0;
+  const buffer2 = await face5.tensor.buffer();
+  let silhouette = [];
+  for (const pt of meshAnnotations.silhouette)
+    silhouette.push({ x: (face5.mesh[pt][0] - face5.box[0]) / face5.box[2], y: (face5.mesh[pt][1] - face5.box[1]) / face5.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) {
+        buffer2.set(alpha * buffer2.get(0, y, x, 0), 0, y, x, 0);
+        buffer2.set(alpha * buffer2.get(0, y, x, 1), 0, y, x, 1);
+        buffer2.set(alpha * buffer2.get(0, y, x, 2), 0, y, x, 2);
+      }
+    }
+  }
+  const output = buffer2.toTensor();
+  dispose(buffer2);
+  return output;
+}
+
 // src/face/angles.ts
 var calculateGaze = (face5) => {
   const radians = (pt1, pt2) => Math.atan2(pt1[1] - pt2[1], pt1[0] - pt2[0]);
@@ -81949,7 +81988,7 @@ var calculateFaceAngle = (face5, imageSize) => {
 
 // src/face/face.ts
 var detectFace = async (parent, input2) => {
-  var _a, _b, _c, _d;
+  var _a, _b, _c, _d, _e, _f, _g, _h, _i, _j, _k, _l, _m, _n, _o;
   let timeStamp;
   let ageRes;
   let gearRes;
@@ -81974,44 +82013,49 @@ var detectFace = async (parent, input2) => {
       log("Face object is disposed:", faces[i].tensor);
       continue;
     }
-    const rotation = calculateFaceAngle(faces[i], [input2.shape[2], input2.shape[1]]);
+    if ((_a = parent.config.face.detector) == null ? void 0 : _a.mask) {
+      const masked = await mask(faces[i]);
+      dispose(faces[i].tensor);
+      faces[i].tensor = masked;
+    }
+    const rotation = faces[i].mesh && faces[i].mesh.length > 200 ? calculateFaceAngle(faces[i], [input2.shape[2], input2.shape[1]]) : null;
     parent.analyze("Start Emotion:");
     if (parent.config.async) {
-      emotionRes = parent.config.face.emotion.enabled ? predict5(faces[i].tensor || tensor([]), parent.config, i, faces.length) : null;
+      emotionRes = ((_b = parent.config.face.emotion) == null ? void 0 : _b.enabled) ? predict5(faces[i].tensor || tensor([]), parent.config, i, faces.length) : null;
     } else {
       parent.state = "run:emotion";
       timeStamp = now();
-      emotionRes = parent.config.face.emotion.enabled ? await predict5(faces[i].tensor || tensor([]), parent.config, i, faces.length) : null;
+      emotionRes = ((_c = parent.config.face.emotion) == null ? void 0 : _c.enabled) ? await predict5(faces[i].tensor || tensor([]), parent.config, i, faces.length) : null;
       parent.performance.emotion = env2.perfadd ? (parent.performance.emotion || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);
     }
     parent.analyze("End Emotion:");
     parent.analyze("Start AntiSpoof:");
     if (parent.config.async) {
-      antispoofRes = parent.config.face.antispoof.enabled ? predict(faces[i].tensor || tensor([]), parent.config, i, faces.length) : null;
+      antispoofRes = ((_d = parent.config.face.antispoof) == null ? void 0 : _d.enabled) ? predict(faces[i].tensor || tensor([]), parent.config, i, faces.length) : null;
     } else {
       parent.state = "run:antispoof";
       timeStamp = now();
-      antispoofRes = parent.config.face.antispoof.enabled ? await predict(faces[i].tensor || tensor([]), parent.config, i, faces.length) : null;
+      antispoofRes = ((_e = parent.config.face.antispoof) == null ? void 0 : _e.enabled) ? await predict(faces[i].tensor || tensor([]), parent.config, i, faces.length) : null;
       parent.performance.antispoof = env2.perfadd ? (parent.performance.antispoof || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);
     }
     parent.analyze("End AntiSpoof:");
     parent.analyze("Start Liveness:");
     if (parent.config.async) {
-      livenessRes = parent.config.face.liveness.enabled ? predict10(faces[i].tensor || tensor([]), parent.config, i, faces.length) : null;
+      livenessRes = ((_f = parent.config.face.liveness) == null ? void 0 : _f.enabled) ? predict10(faces[i].tensor || tensor([]), parent.config, i, faces.length) : null;
     } else {
       parent.state = "run:liveness";
       timeStamp = now();
-      livenessRes = parent.config.face.liveness.enabled ? await predict10(faces[i].tensor || tensor([]), parent.config, i, faces.length) : null;
+      livenessRes = ((_g = parent.config.face.liveness) == null ? void 0 : _g.enabled) ? await predict10(faces[i].tensor || tensor([]), parent.config, i, faces.length) : null;
       parent.performance.antispoof = env2.perfadd ? (parent.performance.antispoof || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);
     }
     parent.analyze("End Liveness:");
     parent.analyze("Start Description:");
     if (parent.config.async) {
-      descRes = parent.config.face.description.enabled ? predict7(faces[i].tensor || tensor([]), parent.config, i, faces.length) : null;
+      descRes = ((_h = parent.config.face.description) == null ? void 0 : _h.enabled) ? predict7(faces[i].tensor || tensor([]), parent.config, i, faces.length) : null;
     } else {
       parent.state = "run:description";
       timeStamp = now();
-      descRes = parent.config.face.description.enabled ? await predict7(faces[i].tensor || tensor([]), parent.config, i, faces.length) : null;
+      descRes = ((_i = parent.config.face.description) == null ? void 0 : _i.enabled) ? await predict7(faces[i].tensor || tensor([]), parent.config, i, faces.length) : null;
       parent.performance.description = env2.perfadd ? (parent.performance.description || 0) + Math.trunc(now() - timeStamp) : Math.trunc(now() - timeStamp);
     }
     parent.analyze("End Description:");
@@ -82019,12 +82063,12 @@ var detectFace = async (parent, input2) => {
       [ageRes, genderRes, emotionRes, embeddingRes, descRes, gearRes, antispoofRes, livenessRes] = await Promise.all([ageRes, genderRes, emotionRes, embeddingRes, descRes, gearRes, antispoofRes, livenessRes]);
     }
     parent.analyze("Finish Face:");
-    if (!parent.config.face.iris.enabled && ((_b = (_a = faces[i]) == null ? void 0 : _a.annotations) == null ? void 0 : _b.leftEyeIris) && ((_d = (_c = faces[i]) == null ? void 0 : _c.annotations) == null ? void 0 : _d.rightEyeIris)) {
+    if (!((_j = parent.config.face.iris) == null ? void 0 : _j.enabled) && ((_l = (_k = faces[i]) == null ? void 0 : _k.annotations) == null ? void 0 : _l.leftEyeIris) && ((_n = (_m = faces[i]) == null ? void 0 : _m.annotations) == null ? void 0 : _n.rightEyeIris)) {
       delete faces[i].annotations.leftEyeIris;
       delete faces[i].annotations.rightEyeIris;
     }
     const irisSize = faces[i].annotations && faces[i].annotations.leftEyeIris && faces[i].annotations.leftEyeIris[0] && faces[i].annotations.rightEyeIris && faces[i].annotations.rightEyeIris[0] && faces[i].annotations.leftEyeIris.length > 0 && faces[i].annotations.rightEyeIris.length > 0 && faces[i].annotations.leftEyeIris[0] !== null && faces[i].annotations.rightEyeIris[0] !== null ? Math.max(Math.abs(faces[i].annotations.leftEyeIris[3][0] - faces[i].annotations.leftEyeIris[1][0]), Math.abs(faces[i].annotations.rightEyeIris[4][1] - faces[i].annotations.rightEyeIris[2][1])) / input2.shape[2] : 0;
-    const tensor2 = parent.config.face.detector.return ? squeeze(faces[i].tensor) : null;
+    const tensor2 = ((_o = parent.config.face.detector) == null ? void 0 : _o.return) ? squeeze(faces[i].tensor) : null;
     dispose(faces[i].tensor);
     if (faces[i].tensor)
       delete faces[i].tensor;
@@ -82087,11 +82131,12 @@ var face2 = (res) => {
   const gestures = [];
   for (let i = 0; i < res.length; i++) {
     if (res[i].mesh && res[i].mesh.length > 450) {
-      const eyeFacing = res[i].mesh[33][2] - res[i].mesh[263][2];
-      if (Math.abs(eyeFacing) < 10)
+      const zDiff = res[i].mesh[33][2] - res[i].mesh[263][2];
+      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 ${eyeFacing < 0 ? "left" : "right"}` });
+        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" });
@@ -82255,18 +82300,21 @@ function calc2(newResult, config3) {
     for (let i = 0; i < newResult.face.length; i++) {
       const box4 = 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);
-      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 = (_g = newResult.face[i].rotation) == null ? void 0 : _g.matrix;
-      rotation.angle = {
-        roll: ((bufferedFactor - 1) * (((_i = (_h = bufferedResult.face[i].rotation) == null ? void 0 : _h.angle) == null ? void 0 : _i.roll) || 0) + (((_k = (_j = newResult.face[i].rotation) == null ? void 0 : _j.angle) == null ? void 0 : _k.roll) || 0)) / bufferedFactor,
-        yaw: ((bufferedFactor - 1) * (((_m = (_l = bufferedResult.face[i].rotation) == null ? void 0 : _l.angle) == null ? void 0 : _m.yaw) || 0) + (((_o = (_n = newResult.face[i].rotation) == null ? void 0 : _n.angle) == null ? void 0 : _o.yaw) || 0)) / bufferedFactor,
-        pitch: ((bufferedFactor - 1) * (((_q = (_p = bufferedResult.face[i].rotation) == null ? void 0 : _p.angle) == null ? void 0 : _q.pitch) || 0) + (((_s = (_r = newResult.face[i].rotation) == null ? void 0 : _r.angle) == null ? void 0 : _s.pitch) || 0)) / bufferedFactor
-      };
-      rotation.gaze = {
-        bearing: ((bufferedFactor - 1) * (((_u = (_t = bufferedResult.face[i].rotation) == null ? void 0 : _t.gaze) == null ? void 0 : _u.bearing) || 0) + (((_w = (_v = newResult.face[i].rotation) == null ? void 0 : _v.gaze) == null ? void 0 : _w.bearing) || 0)) / bufferedFactor,
-        strength: ((bufferedFactor - 1) * (((_y = (_x = bufferedResult.face[i].rotation) == null ? void 0 : _x.gaze) == null ? void 0 : _y.strength) || 0) + (((_A = (_z = newResult.face[i].rotation) == null ? void 0 : _z.gaze) == null ? void 0 : _A.strength) || 0)) / bufferedFactor
-      };
-      bufferedResult.face[i] = { ...newResult.face[i], rotation, box: box4, boxRaw };
+      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 = (_g = newResult.face[i].rotation) == null ? void 0 : _g.matrix;
+        rotation.angle = {
+          roll: ((bufferedFactor - 1) * (((_i = (_h = bufferedResult.face[i].rotation) == null ? void 0 : _h.angle) == null ? void 0 : _i.roll) || 0) + (((_k = (_j = newResult.face[i].rotation) == null ? void 0 : _j.angle) == null ? void 0 : _k.roll) || 0)) / bufferedFactor,
+          yaw: ((bufferedFactor - 1) * (((_m = (_l = bufferedResult.face[i].rotation) == null ? void 0 : _l.angle) == null ? void 0 : _m.yaw) || 0) + (((_o = (_n = newResult.face[i].rotation) == null ? void 0 : _n.angle) == null ? void 0 : _o.yaw) || 0)) / bufferedFactor,
+          pitch: ((bufferedFactor - 1) * (((_q = (_p = bufferedResult.face[i].rotation) == null ? void 0 : _p.angle) == null ? void 0 : _q.pitch) || 0) + (((_s = (_r = newResult.face[i].rotation) == null ? void 0 : _r.angle) == null ? void 0 : _s.pitch) || 0)) / bufferedFactor
+        };
+        rotation.gaze = {
+          bearing: ((bufferedFactor - 1) * (((_u = (_t = bufferedResult.face[i].rotation) == null ? void 0 : _t.gaze) == null ? void 0 : _u.bearing) || 0) + (((_w = (_v = newResult.face[i].rotation) == null ? void 0 : _v.gaze) == null ? void 0 : _w.bearing) || 0)) / bufferedFactor,
+          strength: ((bufferedFactor - 1) * (((_y = (_x = bufferedResult.face[i].rotation) == null ? void 0 : _x.gaze) == null ? void 0 : _y.strength) || 0) + (((_A = (_z = newResult.face[i].rotation) == null ? void 0 : _z.gaze) == null ? void 0 : _A.strength) || 0)) / bufferedFactor
+        };
+        bufferedResult.face[i] = { ...newResult.face[i], rotation, box: box4, boxRaw };
+      }
+      bufferedResult.face[i] = { ...newResult.face[i], box: box4, boxRaw };
     }
   }
   if (!bufferedResult.object || newResult.object.length !== bufferedResult.object.length) {
diff --git a/dist/human.esm.js.map b/dist/human.esm.js.map
index a812b1c2..ece42041 100644
--- a/dist/human.esm.js.map
+++ b/dist/human.esm.js.map
@@ -1,7 +1,7 @@
 {
   "version": 3,
-  "sources": ["../src/util/util.ts", "../src/config.ts", "tfjs.esm.js", "../src/image/imagefxshaders.ts", "../src/image/imagefx.ts", "../src/image/enhance.ts", "../src/image/image.ts", "../src/util/env.ts", "../src/gear/gear-agegenderrace.ts", "../src/face/antispoof.ts", "../src/face/facemeshcoords.ts", "../src/face/facemeshutil.ts", "../src/face/blazeface.ts", "../src/body/blazeposecoords.ts", "../src/body/blazepose.ts", "../src/object/labels.ts", "../src/object/centernet.ts", "../src/body/efficientposecoords.ts", "../src/body/efficientpose.ts", "../src/gear/emotion.ts", "../src/face/iris.ts", "../src/face/facemesh.ts", "../src/face/faceres.ts", "../src/hand/handposeutil.ts", "../src/hand/handposeanchors.ts", "../src/hand/handposedetector.ts", "../src/hand/handposepipeline.ts", "../src/hand/fingerdef.ts", "../src/hand/fingergesture.ts", "../src/hand/fingerpose.ts", "../src/hand/handpose.ts", "../src/util/box.ts", "../src/hand/handtrack.ts", "../src/face/liveness.ts", "../src/body/movenetcoords.ts", "../src/body/movenetfix.ts", "../src/body/movenet.ts", "../src/object/nanodet.ts", "../src/body/posenetutils.ts", "../src/body/posenet.ts", "../src/segmentation/segmentation.ts", "../src/models.ts", "../src/tfjs/humangl.ts", "../src/tfjs/backend.ts", "../src/util/draw.ts", "../src/face/angles.ts", "../src/face/face.ts", "../src/gesture/gesture.ts", "../src/util/interpolate.ts", "../src/face/match.ts", "../src/util/persons.ts", "../src/sample.ts", "../src/warmup.ts", "../src/human.ts"],
-  "sourcesContent": ["/**\n * Simple helper functions used accross codebase\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: ${path} expecting json file`);\n  return path;\n}\n\n// helper function: wrapper around console output\nexport function log(...msg): void {\n  const dt = new Date();\n  const ts = `${dt.getHours().toString().padStart(2, '0')}:${dt.getMinutes().toString().padStart(2, '0')}:${dt.getSeconds().toString().padStart(2, '0')}.${dt.getMilliseconds().toString().padStart(3, '0')}`;\n  // eslint-disable-next-line no-console\n  if (msg) console.log(ts, 'Human:', ...msg);\n}\n\n// helper function: gets elapsed time on both browser and nodejs\nexport const now = () => {\n  if (typeof performance !== 'undefined') return performance.now();\n  return parseInt((Number(process.hrtime.bigint()) / 1000 / 1000).toString());\n};\n\n// helper function: checks current config validity\nexport function validate(defaults, config, parent = 'config', msgs: Array<{ reason: string, where: string, expected?: string }> = []) {\n  for (const key of Object.keys(config)) {\n    if (typeof config[key] === 'object') {\n      validate(defaults[key], config[key], key, msgs);\n    } else {\n      const defined = defaults && (typeof defaults[key] !== 'undefined');\n      if (!defined) msgs.push({ reason: 'unknown property', where: `${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 inheriance 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: Array) => data.reduce((acc: Array, 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) {\n  const waiting = new Promise((resolve) => { setTimeout(() => resolve(true), time); });\n  await waiting;\n}\n", "/* eslint-disable indent */\n/* eslint-disable no-multi-spaces */\n\n/** Generic config type inherited by all module types */\nexport interface GenericConfig {\n  /** @property is module enabled? */\n  enabled: boolean,\n  /** @property path to model json file */\n  modelPath: string,\n  /** @property how many max frames to go without re-running model if cached results are acceptable */\n  skipFrames: number,\n  /** @property how many max miliseconds to go without re-running model if cached results are acceptable */\n  skipTime: number,\n}\n\n/** Dectector part of face configuration */\nexport interface FaceDetectorConfig extends GenericConfig {\n  /** @property is face rotation correction performed after detecting face? */\n  rotation: boolean,\n  /** @property maximum number of detected faces */\n  maxDetected: number,\n  /** @property minimum confidence for a detected face before results are discarded */\n  minConfidence: number,\n  /** @property minimum overlap between two detected faces before one is discarded */\n  iouThreshold: number,\n  /** @property should face detection return face tensor to be used in some other extenrnal model? */\n  return: boolean,\n}\n\n/** Mesh part of face configuration */\nexport interface FaceMeshConfig extends GenericConfig {}\n\n/** Iris part of face configuration */\nexport interface FaceIrisConfig 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  /** @property 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  /** @property 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/** 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  iris: Partial,\n  description: Partial,\n  emotion: Partial,\n  antispoof: Partial,\n  liveness: Partial,\n}\n\n/** Configures all body detection specific options */\nexport interface BodyConfig extends GenericConfig {\n  /** @property maximum numboer of detected bodies */\n  maxDetected: number,\n  /** @property minimum confidence for a detected body before results are discarded */\n  minConfidence: number,\n  detector?: {\n    /** @property path to optional body detector model json file */\n    modelPath: string\n  },\n}\n\n/** Configures all hand detection specific options */\nexport interface HandConfig extends GenericConfig {\n  /** @property should hand rotation correction be performed after hand detection? */\n  rotation: boolean,\n  /** @property minimum confidence for a detected hand before results are discarded */\n  minConfidence: number,\n  /** @property minimum overlap between two detected hands before one is discarded */\n  iouThreshold: number,\n  /** @property maximum number of detected hands */\n  maxDetected: number,\n  /** @property should hand landmarks be detected or just return detected hand box */\n  landmarks: boolean,\n  detector: {\n    /** @property path to hand detector model json */\n    modelPath?: string,\n  },\n  skeleton: {\n    /** @property 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  /** @property minimum confidence for a detected objects before results are discarded */\n  minConfidence: number,\n  /** @property minimum overlap between two detected objects before one is discarded */\n  iouThreshold: number,\n  /** @property 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  /** @property blur segmentation output by  pixels for more realistic image */\n  blur: number,\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  /** @property are image filters enabled? */\n  enabled: boolean,\n  /** @property 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  * @property\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  * @property\n  */\n  height: number,\n  /** @property return processed canvas imagedata in result */\n  return: boolean,\n  /** @property flip input as mirror image */\n  flip: boolean,\n  /** @property range: -1 (darken) to 1 (lighten) */\n  brightness: number,\n  /** @property range: -1 (reduce contrast) to 1 (increase contrast) */\n  contrast: number,\n  /** @property range: 0 (no sharpening) to 1 (maximum sharpening) */\n  sharpness: number,\n  /** @property range: 0 (no blur) to N (blur radius in pixels) */\n  blur: number\n  /** @property range: -1 (reduce saturation) to 1 (increase saturation) */\n  saturation: number,\n  /** @property range: 0 (no change) to 360 (hue rotation in degrees) */\n  hue: number,\n  /** @property image negative */\n  negative: boolean,\n  /** @property image sepia colors */\n  sepia: boolean,\n  /** @property image vintage colors */\n  vintage: boolean,\n  /** @property image kodachrome colors */\n  kodachrome: boolean,\n  /** @property image technicolor colors */\n  technicolor: boolean,\n  /** @property image polaroid camera effect */\n  polaroid: boolean,\n  /** @property range: 0 (no pixelate) to N (number of pixels to pixelate) */\n  pixelate: number,\n}\n\n/** Controlls gesture detection */\nexport interface GestureConfig {\n  /** @property is gesture detection enabled? */\n  enabled: boolean,\n}\n\n/**\n * Configuration interface definition for **Human** library\n *\n * Contains all configurable parameters\n * @typedef Config\n *\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: `humangl` for browser and `tensorflow` for nodejs\n  */\n  backend: '' | 'cpu' | 'wasm' | 'webgl' | 'humangl' | 'tensorflow' | 'webgpu',\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  /** 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: 'none' | 'face' | 'full' | 'body',\n  // warmup: string;\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 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  /** Perform immediate garbage collection on deallocated tensors instead of caching them */\n  deallocate: boolean;\n\n  /** Internal Variable */\n  skipAllowed: boolean;\n\n  /** {@link FilterConfig} */\n  filter: Partial,\n\n  /** {@link GestureConfig} */\n  gesture: Partial;\n\n  /** {@link FaceConfig} */\n  face: Partial,\n\n  /** {@link BodyConfig} */\n  body: Partial,\n\n  /** {@link HandConfig} */\n  hand: Partial,\n\n  /** {@link ObjectConfig} */\n  object: Partial,\n\n  /** {@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  wasmPath: '',\n  debug: true,\n  async: true,\n  warmup: 'full',\n  cacheSensitivity: 0.70,\n  skipAllowed: false,\n  deallocate: false,\n  filter: {\n    enabled: true,\n    equalization: false,\n    width: 0,\n    height: 0,\n    flip: false,\n    return: 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: true,\n      maxDetected: 1,\n      skipFrames: 99,\n      skipTime: 2500,\n      minConfidence: 0.2,\n      iouThreshold: 0.1,\n      return: false,\n    },\n    mesh: {\n      enabled: true,\n      modelPath: 'facemesh.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    detector: {\n      modelPath: '',\n    },\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-full.json',\n    },\n  },\n  object: {\n    enabled: false,\n    modelPath: 'mb3-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: 'selfie.json',\n    blur: 8,\n  },\n};\n\nexport { config as defaults };\n", "/*\n  Human\n  homepage: \n  author: '\n*/\n\nvar __require = /* @__PURE__ */ ((x) => typeof require !== \"undefined\" ? require : typeof Proxy !== \"undefined\" ? new Proxy(x, {\n  get: (a, b) => (typeof require !== \"undefined\" ? require : a)[b]\n}) : x)(function(x) {\n  if (typeof require !== \"undefined\")\n    return require.apply(this, arguments);\n  throw new Error('Dynamic require of \"' + x + '\" is not supported');\n});\n\n// ../tfjs/dist/tfjs.esm.js\nvar __create = Object.create;\nvar __defProp = Object.defineProperty;\nvar __getOwnPropDesc = Object.getOwnPropertyDescriptor;\nvar __getOwnPropNames = Object.getOwnPropertyNames;\nvar __getProtoOf = Object.getPrototypeOf;\nvar __hasOwnProp = Object.prototype.hasOwnProperty;\nvar __markAsModule = (target) => __defProp(target, \"__esModule\", { value: true });\nvar __require2 = ((x) => typeof __require !== \"undefined\" ? __require : typeof Proxy !== \"undefined\" ? new Proxy(x, {\n  get: (a, b) => (typeof __require !== \"undefined\" ? __require : a)[b]\n}) : x)(function(x) {\n  if (typeof __require !== \"undefined\")\n    return __require.apply(this, arguments);\n  throw new Error('Dynamic require of \"' + x + '\" is not supported');\n});\nvar __commonJS = (cb, mod4) => function __require22() {\n  return mod4 || (0, cb[Object.keys(cb)[0]])((mod4 = { exports: {} }).exports, mod4), mod4.exports;\n};\nvar __export = (target, all5) => {\n  __markAsModule(target);\n  for (var name in all5)\n    __defProp(target, name, { get: all5[name], enumerable: true });\n};\nvar __reExport = (target, module, desc) => {\n  if (module && typeof module === \"object\" || typeof module === \"function\") {\n    for (let key of __getOwnPropNames(module))\n      if (!__hasOwnProp.call(target, key) && key !== \"default\")\n        __defProp(target, key, { get: () => module[key], enumerable: !(desc = __getOwnPropDesc(module, key)) || desc.enumerable });\n  }\n  return target;\n};\nvar __toModule = (module) => {\n  return __reExport(__markAsModule(__defProp(module != null ? __create(__getProtoOf(module)) : {}, \"default\", module && module.__esModule && \"default\" in module ? { get: () => module.default, enumerable: true } : { value: module, enumerable: true })), module);\n};\nvar require_long = __commonJS({\n  \"node_modules/.pnpm/long@4.0.0/node_modules/long/src/long.js\"(exports, module) {\n    module.exports = Long2;\n    var wasm = null;\n    try {\n      wasm = new WebAssembly.Instance(new WebAssembly.Module(new Uint8Array([\n        0,\n        97,\n        115,\n        109,\n        1,\n        0,\n        0,\n        0,\n        1,\n        13,\n        2,\n        96,\n        0,\n        1,\n        127,\n        96,\n        4,\n        127,\n        127,\n        127,\n        127,\n        1,\n        127,\n        3,\n        7,\n        6,\n        0,\n        1,\n        1,\n        1,\n        1,\n        1,\n        6,\n        6,\n        1,\n        127,\n        1,\n        65,\n        0,\n        11,\n        7,\n        50,\n        6,\n        3,\n        109,\n        117,\n        108,\n        0,\n        1,\n        5,\n        100,\n        105,\n        118,\n        95,\n        115,\n        0,\n        2,\n        5,\n        100,\n        105,\n        118,\n        95,\n        117,\n        0,\n        3,\n        5,\n        114,\n        101,\n        109,\n        95,\n        115,\n        0,\n        4,\n        5,\n        114,\n        101,\n        109,\n        95,\n        117,\n        0,\n        5,\n        8,\n        103,\n        101,\n        116,\n        95,\n        104,\n        105,\n        103,\n        104,\n        0,\n        0,\n        10,\n        191,\n        1,\n        6,\n        4,\n        0,\n        35,\n        0,\n        11,\n        36,\n        1,\n        1,\n        126,\n        32,\n        0,\n        173,\n        32,\n        1,\n        173,\n        66,\n        32,\n        134,\n        132,\n        32,\n        2,\n        173,\n        32,\n        3,\n        173,\n        66,\n        32,\n        134,\n        132,\n        126,\n        34,\n        4,\n        66,\n        32,\n        135,\n        167,\n        36,\n        0,\n        32,\n        4,\n        167,\n        11,\n        36,\n        1,\n        1,\n        126,\n        32,\n        0,\n        173,\n        32,\n        1,\n        173,\n        66,\n        32,\n        134,\n        132,\n        32,\n        2,\n        173,\n        32,\n        3,\n        173,\n        66,\n        32,\n        134,\n        132,\n        127,\n        34,\n        4,\n        66,\n        32,\n        135,\n        167,\n        36,\n        0,\n        32,\n        4,\n        167,\n        11,\n        36,\n        1,\n        1,\n        126,\n        32,\n        0,\n        173,\n        32,\n        1,\n        173,\n        66,\n        32,\n        134,\n        132,\n        32,\n        2,\n        173,\n        32,\n        3,\n        173,\n        66,\n        32,\n        134,\n        132,\n        128,\n        34,\n        4,\n        66,\n        32,\n        135,\n        167,\n        36,\n        0,\n        32,\n        4,\n        167,\n        11,\n        36,\n        1,\n        1,\n        126,\n        32,\n        0,\n        173,\n        32,\n        1,\n        173,\n        66,\n        32,\n        134,\n        132,\n        32,\n        2,\n        173,\n        32,\n        3,\n        173,\n        66,\n        32,\n        134,\n        132,\n        129,\n        34,\n        4,\n        66,\n        32,\n        135,\n        167,\n        36,\n        0,\n        32,\n        4,\n        167,\n        11,\n        36,\n        1,\n        1,\n        126,\n        32,\n        0,\n        173,\n        32,\n        1,\n        173,\n        66,\n        32,\n        134,\n        132,\n        32,\n        2,\n        173,\n        32,\n        3,\n        173,\n        66,\n        32,\n        134,\n        132,\n        130,\n        34,\n        4,\n        66,\n        32,\n        135,\n        167,\n        36,\n        0,\n        32,\n        4,\n        167,\n        11\n      ])), {}).exports;\n    } catch (e) {\n    }\n    function Long2(low, high, unsigned) {\n      this.low = low | 0;\n      this.high = high | 0;\n      this.unsigned = !!unsigned;\n    }\n    Long2.prototype.__isLong__;\n    Object.defineProperty(Long2.prototype, \"__isLong__\", { value: true });\n    function isLong(obj) {\n      return (obj && obj[\"__isLong__\"]) === true;\n    }\n    Long2.isLong = isLong;\n    var INT_CACHE = {};\n    var UINT_CACHE = {};\n    function fromInt(value, unsigned) {\n      var obj, cachedObj, cache;\n      if (unsigned) {\n        value >>>= 0;\n        if (cache = 0 <= value && value < 256) {\n          cachedObj = UINT_CACHE[value];\n          if (cachedObj)\n            return cachedObj;\n        }\n        obj = fromBits(value, (value | 0) < 0 ? -1 : 0, true);\n        if (cache)\n          UINT_CACHE[value] = obj;\n        return obj;\n      } else {\n        value |= 0;\n        if (cache = -128 <= value && value < 128) {\n          cachedObj = INT_CACHE[value];\n          if (cachedObj)\n            return cachedObj;\n        }\n        obj = fromBits(value, value < 0 ? -1 : 0, false);\n        if (cache)\n          INT_CACHE[value] = obj;\n        return obj;\n      }\n    }\n    Long2.fromInt = fromInt;\n    function fromNumber(value, unsigned) {\n      if (isNaN(value))\n        return unsigned ? UZERO : ZERO;\n      if (unsigned) {\n        if (value < 0)\n          return UZERO;\n        if (value >= TWO_PWR_64_DBL)\n          return MAX_UNSIGNED_VALUE;\n      } else {\n        if (value <= -TWO_PWR_63_DBL)\n          return MIN_VALUE;\n        if (value + 1 >= TWO_PWR_63_DBL)\n          return MAX_VALUE;\n      }\n      if (value < 0)\n        return fromNumber(-value, unsigned).neg();\n      return fromBits(value % TWO_PWR_32_DBL | 0, value / TWO_PWR_32_DBL | 0, unsigned);\n    }\n    Long2.fromNumber = fromNumber;\n    function fromBits(lowBits, highBits, unsigned) {\n      return new Long2(lowBits, highBits, unsigned);\n    }\n    Long2.fromBits = fromBits;\n    var pow_dbl = Math.pow;\n    function fromString(str, unsigned, radix) {\n      if (str.length === 0)\n        throw Error(\"empty string\");\n      if (str === \"NaN\" || str === \"Infinity\" || str === \"+Infinity\" || str === \"-Infinity\")\n        return ZERO;\n      if (typeof unsigned === \"number\") {\n        radix = unsigned, unsigned = false;\n      } else {\n        unsigned = !!unsigned;\n      }\n      radix = radix || 10;\n      if (radix < 2 || 36 < radix)\n        throw RangeError(\"radix\");\n      var p2;\n      if ((p2 = str.indexOf(\"-\")) > 0)\n        throw Error(\"interior hyphen\");\n      else if (p2 === 0) {\n        return fromString(str.substring(1), unsigned, radix).neg();\n      }\n      var radixToPower = fromNumber(pow_dbl(radix, 8));\n      var result = ZERO;\n      for (var i = 0; i < str.length; i += 8) {\n        var size = Math.min(8, str.length - i), value = parseInt(str.substring(i, i + size), radix);\n        if (size < 8) {\n          var power = fromNumber(pow_dbl(radix, size));\n          result = result.mul(power).add(fromNumber(value));\n        } else {\n          result = result.mul(radixToPower);\n          result = result.add(fromNumber(value));\n        }\n      }\n      result.unsigned = unsigned;\n      return result;\n    }\n    Long2.fromString = fromString;\n    function fromValue(val, unsigned) {\n      if (typeof val === \"number\")\n        return fromNumber(val, unsigned);\n      if (typeof val === \"string\")\n        return fromString(val, unsigned);\n      return fromBits(val.low, val.high, typeof unsigned === \"boolean\" ? unsigned : val.unsigned);\n    }\n    Long2.fromValue = fromValue;\n    var TWO_PWR_16_DBL = 1 << 16;\n    var TWO_PWR_24_DBL = 1 << 24;\n    var TWO_PWR_32_DBL = TWO_PWR_16_DBL * TWO_PWR_16_DBL;\n    var TWO_PWR_64_DBL = TWO_PWR_32_DBL * TWO_PWR_32_DBL;\n    var TWO_PWR_63_DBL = TWO_PWR_64_DBL / 2;\n    var TWO_PWR_24 = fromInt(TWO_PWR_24_DBL);\n    var ZERO = fromInt(0);\n    Long2.ZERO = ZERO;\n    var UZERO = fromInt(0, true);\n    Long2.UZERO = UZERO;\n    var ONE = fromInt(1);\n    Long2.ONE = ONE;\n    var UONE = fromInt(1, true);\n    Long2.UONE = UONE;\n    var NEG_ONE = fromInt(-1);\n    Long2.NEG_ONE = NEG_ONE;\n    var MAX_VALUE = fromBits(4294967295 | 0, 2147483647 | 0, false);\n    Long2.MAX_VALUE = MAX_VALUE;\n    var MAX_UNSIGNED_VALUE = fromBits(4294967295 | 0, 4294967295 | 0, true);\n    Long2.MAX_UNSIGNED_VALUE = MAX_UNSIGNED_VALUE;\n    var MIN_VALUE = fromBits(0, 2147483648 | 0, false);\n    Long2.MIN_VALUE = MIN_VALUE;\n    var LongPrototype = Long2.prototype;\n    LongPrototype.toInt = function toInt() {\n      return this.unsigned ? this.low >>> 0 : this.low;\n    };\n    LongPrototype.toNumber = function toNumber() {\n      if (this.unsigned)\n        return (this.high >>> 0) * TWO_PWR_32_DBL + (this.low >>> 0);\n      return this.high * TWO_PWR_32_DBL + (this.low >>> 0);\n    };\n    LongPrototype.toString = function toString(radix) {\n      radix = radix || 10;\n      if (radix < 2 || 36 < radix)\n        throw RangeError(\"radix\");\n      if (this.isZero())\n        return \"0\";\n      if (this.isNegative()) {\n        if (this.eq(MIN_VALUE)) {\n          var radixLong = fromNumber(radix), div3 = this.div(radixLong), rem1 = div3.mul(radixLong).sub(this);\n          return div3.toString(radix) + rem1.toInt().toString(radix);\n        } else\n          return \"-\" + this.neg().toString(radix);\n      }\n      var radixToPower = fromNumber(pow_dbl(radix, 6), this.unsigned), rem = this;\n      var result = \"\";\n      while (true) {\n        var remDiv = rem.div(radixToPower), intval = rem.sub(remDiv.mul(radixToPower)).toInt() >>> 0, digits = intval.toString(radix);\n        rem = remDiv;\n        if (rem.isZero())\n          return digits + result;\n        else {\n          while (digits.length < 6)\n            digits = \"0\" + digits;\n          result = \"\" + digits + result;\n        }\n      }\n    };\n    LongPrototype.getHighBits = function getHighBits() {\n      return this.high;\n    };\n    LongPrototype.getHighBitsUnsigned = function getHighBitsUnsigned() {\n      return this.high >>> 0;\n    };\n    LongPrototype.getLowBits = function getLowBits() {\n      return this.low;\n    };\n    LongPrototype.getLowBitsUnsigned = function getLowBitsUnsigned() {\n      return this.low >>> 0;\n    };\n    LongPrototype.getNumBitsAbs = function getNumBitsAbs() {\n      if (this.isNegative())\n        return this.eq(MIN_VALUE) ? 64 : this.neg().getNumBitsAbs();\n      var val = this.high != 0 ? this.high : this.low;\n      for (var bit = 31; bit > 0; bit--)\n        if ((val & 1 << bit) != 0)\n          break;\n      return this.high != 0 ? bit + 33 : bit + 1;\n    };\n    LongPrototype.isZero = function isZero() {\n      return this.high === 0 && this.low === 0;\n    };\n    LongPrototype.eqz = LongPrototype.isZero;\n    LongPrototype.isNegative = function isNegative() {\n      return !this.unsigned && this.high < 0;\n    };\n    LongPrototype.isPositive = function isPositive() {\n      return this.unsigned || this.high >= 0;\n    };\n    LongPrototype.isOdd = function isOdd() {\n      return (this.low & 1) === 1;\n    };\n    LongPrototype.isEven = function isEven2() {\n      return (this.low & 1) === 0;\n    };\n    LongPrototype.equals = function equals(other) {\n      if (!isLong(other))\n        other = fromValue(other);\n      if (this.unsigned !== other.unsigned && this.high >>> 31 === 1 && other.high >>> 31 === 1)\n        return false;\n      return this.high === other.high && this.low === other.low;\n    };\n    LongPrototype.eq = LongPrototype.equals;\n    LongPrototype.notEquals = function notEquals(other) {\n      return !this.eq(other);\n    };\n    LongPrototype.neq = LongPrototype.notEquals;\n    LongPrototype.ne = LongPrototype.notEquals;\n    LongPrototype.lessThan = function lessThan(other) {\n      return this.comp(other) < 0;\n    };\n    LongPrototype.lt = LongPrototype.lessThan;\n    LongPrototype.lessThanOrEqual = function lessThanOrEqual(other) {\n      return this.comp(other) <= 0;\n    };\n    LongPrototype.lte = LongPrototype.lessThanOrEqual;\n    LongPrototype.le = LongPrototype.lessThanOrEqual;\n    LongPrototype.greaterThan = function greaterThan(other) {\n      return this.comp(other) > 0;\n    };\n    LongPrototype.gt = LongPrototype.greaterThan;\n    LongPrototype.greaterThanOrEqual = function greaterThanOrEqual(other) {\n      return this.comp(other) >= 0;\n    };\n    LongPrototype.gte = LongPrototype.greaterThanOrEqual;\n    LongPrototype.ge = LongPrototype.greaterThanOrEqual;\n    LongPrototype.compare = function compare(other) {\n      if (!isLong(other))\n        other = fromValue(other);\n      if (this.eq(other))\n        return 0;\n      var thisNeg = this.isNegative(), otherNeg = other.isNegative();\n      if (thisNeg && !otherNeg)\n        return -1;\n      if (!thisNeg && otherNeg)\n        return 1;\n      if (!this.unsigned)\n        return this.sub(other).isNegative() ? -1 : 1;\n      return other.high >>> 0 > this.high >>> 0 || other.high === this.high && other.low >>> 0 > this.low >>> 0 ? -1 : 1;\n    };\n    LongPrototype.comp = LongPrototype.compare;\n    LongPrototype.negate = function negate() {\n      if (!this.unsigned && this.eq(MIN_VALUE))\n        return MIN_VALUE;\n      return this.not().add(ONE);\n    };\n    LongPrototype.neg = LongPrototype.negate;\n    LongPrototype.add = function add5(addend) {\n      if (!isLong(addend))\n        addend = fromValue(addend);\n      var a48 = this.high >>> 16;\n      var a32 = this.high & 65535;\n      var a16 = this.low >>> 16;\n      var a00 = this.low & 65535;\n      var b48 = addend.high >>> 16;\n      var b32 = addend.high & 65535;\n      var b16 = addend.low >>> 16;\n      var b00 = addend.low & 65535;\n      var c48 = 0, c32 = 0, c16 = 0, c00 = 0;\n      c00 += a00 + b00;\n      c16 += c00 >>> 16;\n      c00 &= 65535;\n      c16 += a16 + b16;\n      c32 += c16 >>> 16;\n      c16 &= 65535;\n      c32 += a32 + b32;\n      c48 += c32 >>> 16;\n      c32 &= 65535;\n      c48 += a48 + b48;\n      c48 &= 65535;\n      return fromBits(c16 << 16 | c00, c48 << 16 | c32, this.unsigned);\n    };\n    LongPrototype.subtract = function subtract(subtrahend) {\n      if (!isLong(subtrahend))\n        subtrahend = fromValue(subtrahend);\n      return this.add(subtrahend.neg());\n    };\n    LongPrototype.sub = LongPrototype.subtract;\n    LongPrototype.multiply = function multiply4(multiplier) {\n      if (this.isZero())\n        return ZERO;\n      if (!isLong(multiplier))\n        multiplier = fromValue(multiplier);\n      if (wasm) {\n        var low = wasm.mul(this.low, this.high, multiplier.low, multiplier.high);\n        return fromBits(low, wasm.get_high(), this.unsigned);\n      }\n      if (multiplier.isZero())\n        return ZERO;\n      if (this.eq(MIN_VALUE))\n        return multiplier.isOdd() ? MIN_VALUE : ZERO;\n      if (multiplier.eq(MIN_VALUE))\n        return this.isOdd() ? MIN_VALUE : ZERO;\n      if (this.isNegative()) {\n        if (multiplier.isNegative())\n          return this.neg().mul(multiplier.neg());\n        else\n          return this.neg().mul(multiplier).neg();\n      } else if (multiplier.isNegative())\n        return this.mul(multiplier.neg()).neg();\n      if (this.lt(TWO_PWR_24) && multiplier.lt(TWO_PWR_24))\n        return fromNumber(this.toNumber() * multiplier.toNumber(), this.unsigned);\n      var a48 = this.high >>> 16;\n      var a32 = this.high & 65535;\n      var a16 = this.low >>> 16;\n      var a00 = this.low & 65535;\n      var b48 = multiplier.high >>> 16;\n      var b32 = multiplier.high & 65535;\n      var b16 = multiplier.low >>> 16;\n      var b00 = multiplier.low & 65535;\n      var c48 = 0, c32 = 0, c16 = 0, c00 = 0;\n      c00 += a00 * b00;\n      c16 += c00 >>> 16;\n      c00 &= 65535;\n      c16 += a16 * b00;\n      c32 += c16 >>> 16;\n      c16 &= 65535;\n      c16 += a00 * b16;\n      c32 += c16 >>> 16;\n      c16 &= 65535;\n      c32 += a32 * b00;\n      c48 += c32 >>> 16;\n      c32 &= 65535;\n      c32 += a16 * b16;\n      c48 += c32 >>> 16;\n      c32 &= 65535;\n      c32 += a00 * b32;\n      c48 += c32 >>> 16;\n      c32 &= 65535;\n      c48 += a48 * b00 + a32 * b16 + a16 * b32 + a00 * b48;\n      c48 &= 65535;\n      return fromBits(c16 << 16 | c00, c48 << 16 | c32, this.unsigned);\n    };\n    LongPrototype.mul = LongPrototype.multiply;\n    LongPrototype.divide = function divide(divisor) {\n      if (!isLong(divisor))\n        divisor = fromValue(divisor);\n      if (divisor.isZero())\n        throw Error(\"division by zero\");\n      if (wasm) {\n        if (!this.unsigned && this.high === -2147483648 && divisor.low === -1 && divisor.high === -1) {\n          return this;\n        }\n        var low = (this.unsigned ? wasm.div_u : wasm.div_s)(this.low, this.high, divisor.low, divisor.high);\n        return fromBits(low, wasm.get_high(), this.unsigned);\n      }\n      if (this.isZero())\n        return this.unsigned ? UZERO : ZERO;\n      var approx, rem, res;\n      if (!this.unsigned) {\n        if (this.eq(MIN_VALUE)) {\n          if (divisor.eq(ONE) || divisor.eq(NEG_ONE))\n            return MIN_VALUE;\n          else if (divisor.eq(MIN_VALUE))\n            return ONE;\n          else {\n            var halfThis = this.shr(1);\n            approx = halfThis.div(divisor).shl(1);\n            if (approx.eq(ZERO)) {\n              return divisor.isNegative() ? ONE : NEG_ONE;\n            } else {\n              rem = this.sub(divisor.mul(approx));\n              res = approx.add(rem.div(divisor));\n              return res;\n            }\n          }\n        } else if (divisor.eq(MIN_VALUE))\n          return this.unsigned ? UZERO : ZERO;\n        if (this.isNegative()) {\n          if (divisor.isNegative())\n            return this.neg().div(divisor.neg());\n          return this.neg().div(divisor).neg();\n        } else if (divisor.isNegative())\n          return this.div(divisor.neg()).neg();\n        res = ZERO;\n      } else {\n        if (!divisor.unsigned)\n          divisor = divisor.toUnsigned();\n        if (divisor.gt(this))\n          return UZERO;\n        if (divisor.gt(this.shru(1)))\n          return UONE;\n        res = UZERO;\n      }\n      rem = this;\n      while (rem.gte(divisor)) {\n        approx = Math.max(1, Math.floor(rem.toNumber() / divisor.toNumber()));\n        var log22 = Math.ceil(Math.log(approx) / Math.LN2), delta = log22 <= 48 ? 1 : pow_dbl(2, log22 - 48), approxRes = fromNumber(approx), approxRem = approxRes.mul(divisor);\n        while (approxRem.isNegative() || approxRem.gt(rem)) {\n          approx -= delta;\n          approxRes = fromNumber(approx, this.unsigned);\n          approxRem = approxRes.mul(divisor);\n        }\n        if (approxRes.isZero())\n          approxRes = ONE;\n        res = res.add(approxRes);\n        rem = rem.sub(approxRem);\n      }\n      return res;\n    };\n    LongPrototype.div = LongPrototype.divide;\n    LongPrototype.modulo = function modulo(divisor) {\n      if (!isLong(divisor))\n        divisor = fromValue(divisor);\n      if (wasm) {\n        var low = (this.unsigned ? wasm.rem_u : wasm.rem_s)(this.low, this.high, divisor.low, divisor.high);\n        return fromBits(low, wasm.get_high(), this.unsigned);\n      }\n      return this.sub(this.div(divisor).mul(divisor));\n    };\n    LongPrototype.mod = LongPrototype.modulo;\n    LongPrototype.rem = LongPrototype.modulo;\n    LongPrototype.not = function not() {\n      return fromBits(~this.low, ~this.high, this.unsigned);\n    };\n    LongPrototype.and = function and(other) {\n      if (!isLong(other))\n        other = fromValue(other);\n      return fromBits(this.low & other.low, this.high & other.high, this.unsigned);\n    };\n    LongPrototype.or = function or(other) {\n      if (!isLong(other))\n        other = fromValue(other);\n      return fromBits(this.low | other.low, this.high | other.high, this.unsigned);\n    };\n    LongPrototype.xor = function xor(other) {\n      if (!isLong(other))\n        other = fromValue(other);\n      return fromBits(this.low ^ other.low, this.high ^ other.high, this.unsigned);\n    };\n    LongPrototype.shiftLeft = function shiftLeft(numBits) {\n      if (isLong(numBits))\n        numBits = numBits.toInt();\n      if ((numBits &= 63) === 0)\n        return this;\n      else if (numBits < 32)\n        return fromBits(this.low << numBits, this.high << numBits | this.low >>> 32 - numBits, this.unsigned);\n      else\n        return fromBits(0, this.low << numBits - 32, this.unsigned);\n    };\n    LongPrototype.shl = LongPrototype.shiftLeft;\n    LongPrototype.shiftRight = function shiftRight(numBits) {\n      if (isLong(numBits))\n        numBits = numBits.toInt();\n      if ((numBits &= 63) === 0)\n        return this;\n      else if (numBits < 32)\n        return fromBits(this.low >>> numBits | this.high << 32 - numBits, this.high >> numBits, this.unsigned);\n      else\n        return fromBits(this.high >> numBits - 32, this.high >= 0 ? 0 : -1, this.unsigned);\n    };\n    LongPrototype.shr = LongPrototype.shiftRight;\n    LongPrototype.shiftRightUnsigned = function shiftRightUnsigned(numBits) {\n      if (isLong(numBits))\n        numBits = numBits.toInt();\n      numBits &= 63;\n      if (numBits === 0)\n        return this;\n      else {\n        var high = this.high;\n        if (numBits < 32) {\n          var low = this.low;\n          return fromBits(low >>> numBits | high << 32 - numBits, high >>> numBits, this.unsigned);\n        } else if (numBits === 32)\n          return fromBits(high, 0, this.unsigned);\n        else\n          return fromBits(high >>> numBits - 32, 0, this.unsigned);\n      }\n    };\n    LongPrototype.shru = LongPrototype.shiftRightUnsigned;\n    LongPrototype.shr_u = LongPrototype.shiftRightUnsigned;\n    LongPrototype.toSigned = function toSigned() {\n      if (!this.unsigned)\n        return this;\n      return fromBits(this.low, this.high, false);\n    };\n    LongPrototype.toUnsigned = function toUnsigned() {\n      if (this.unsigned)\n        return this;\n      return fromBits(this.low, this.high, true);\n    };\n    LongPrototype.toBytes = function toBytes(le) {\n      return le ? this.toBytesLE() : this.toBytesBE();\n    };\n    LongPrototype.toBytesLE = function toBytesLE() {\n      var hi = this.high, lo = this.low;\n      return [\n        lo & 255,\n        lo >>> 8 & 255,\n        lo >>> 16 & 255,\n        lo >>> 24,\n        hi & 255,\n        hi >>> 8 & 255,\n        hi >>> 16 & 255,\n        hi >>> 24\n      ];\n    };\n    LongPrototype.toBytesBE = function toBytesBE() {\n      var hi = this.high, lo = this.low;\n      return [\n        hi >>> 24,\n        hi >>> 16 & 255,\n        hi >>> 8 & 255,\n        hi & 255,\n        lo >>> 24,\n        lo >>> 16 & 255,\n        lo >>> 8 & 255,\n        lo & 255\n      ];\n    };\n    Long2.fromBytes = function fromBytes(bytes, unsigned, le) {\n      return le ? Long2.fromBytesLE(bytes, unsigned) : Long2.fromBytesBE(bytes, unsigned);\n    };\n    Long2.fromBytesLE = function fromBytesLE(bytes, unsigned) {\n      return new Long2(bytes[0] | bytes[1] << 8 | bytes[2] << 16 | bytes[3] << 24, bytes[4] | bytes[5] << 8 | bytes[6] << 16 | bytes[7] << 24, unsigned);\n    };\n    Long2.fromBytesBE = function fromBytesBE(bytes, unsigned) {\n      return new Long2(bytes[4] << 24 | bytes[5] << 16 | bytes[6] << 8 | bytes[7], bytes[0] << 24 | bytes[1] << 16 | bytes[2] << 8 | bytes[3], unsigned);\n    };\n  }\n});\nvar require_node_fetch = __commonJS({\n  \"(disabled):node-fetch\"() {\n  }\n});\nvar require_util = __commonJS({\n  \"(disabled):util\"() {\n  }\n});\nvar require_alea = __commonJS({\n  \"node_modules/.pnpm/seedrandom@3.0.5/node_modules/seedrandom/lib/alea.js\"(exports, module) {\n    (function(global2, module2, define2) {\n      function Alea(seed) {\n        var me = this, mash = Mash();\n        me.next = function() {\n          var t = 2091639 * me.s0 + me.c * 23283064365386963e-26;\n          me.s0 = me.s1;\n          me.s1 = me.s2;\n          return me.s2 = t - (me.c = t | 0);\n        };\n        me.c = 1;\n        me.s0 = mash(\" \");\n        me.s1 = mash(\" \");\n        me.s2 = mash(\" \");\n        me.s0 -= mash(seed);\n        if (me.s0 < 0) {\n          me.s0 += 1;\n        }\n        me.s1 -= mash(seed);\n        if (me.s1 < 0) {\n          me.s1 += 1;\n        }\n        me.s2 -= mash(seed);\n        if (me.s2 < 0) {\n          me.s2 += 1;\n        }\n        mash = null;\n      }\n      function copy(f, t) {\n        t.c = f.c;\n        t.s0 = f.s0;\n        t.s1 = f.s1;\n        t.s2 = f.s2;\n        return t;\n      }\n      function impl(seed, opts) {\n        var xg = new Alea(seed), state = opts && opts.state, prng = xg.next;\n        prng.int32 = function() {\n          return xg.next() * 4294967296 | 0;\n        };\n        prng.double = function() {\n          return prng() + (prng() * 2097152 | 0) * 11102230246251565e-32;\n        };\n        prng.quick = prng;\n        if (state) {\n          if (typeof state == \"object\")\n            copy(state, xg);\n          prng.state = function() {\n            return copy(xg, {});\n          };\n        }\n        return prng;\n      }\n      function Mash() {\n        var n = 4022871197;\n        var mash = function(data) {\n          data = String(data);\n          for (var i = 0; i < data.length; i++) {\n            n += data.charCodeAt(i);\n            var h = 0.02519603282416938 * n;\n            n = h >>> 0;\n            h -= n;\n            h *= n;\n            n = h >>> 0;\n            h -= n;\n            n += h * 4294967296;\n          }\n          return (n >>> 0) * 23283064365386963e-26;\n        };\n        return mash;\n      }\n      if (module2 && module2.exports) {\n        module2.exports = impl;\n      } else if (define2 && define2.amd) {\n        define2(function() {\n          return impl;\n        });\n      } else {\n        this.alea = impl;\n      }\n    })(exports, typeof module == \"object\" && module, typeof define == \"function\" && define);\n  }\n});\nvar require_xor128 = __commonJS({\n  \"node_modules/.pnpm/seedrandom@3.0.5/node_modules/seedrandom/lib/xor128.js\"(exports, module) {\n    (function(global2, module2, define2) {\n      function XorGen(seed) {\n        var me = this, strseed = \"\";\n        me.x = 0;\n        me.y = 0;\n        me.z = 0;\n        me.w = 0;\n        me.next = function() {\n          var t = me.x ^ me.x << 11;\n          me.x = me.y;\n          me.y = me.z;\n          me.z = me.w;\n          return me.w ^= me.w >>> 19 ^ t ^ t >>> 8;\n        };\n        if (seed === (seed | 0)) {\n          me.x = seed;\n        } else {\n          strseed += seed;\n        }\n        for (var k = 0; k < strseed.length + 64; k++) {\n          me.x ^= strseed.charCodeAt(k) | 0;\n          me.next();\n        }\n      }\n      function copy(f, t) {\n        t.x = f.x;\n        t.y = f.y;\n        t.z = f.z;\n        t.w = f.w;\n        return t;\n      }\n      function impl(seed, opts) {\n        var xg = new XorGen(seed), state = opts && opts.state, prng = function() {\n          return (xg.next() >>> 0) / 4294967296;\n        };\n        prng.double = function() {\n          do {\n            var top = xg.next() >>> 11, bot = (xg.next() >>> 0) / 4294967296, result = (top + bot) / (1 << 21);\n          } while (result === 0);\n          return result;\n        };\n        prng.int32 = xg.next;\n        prng.quick = prng;\n        if (state) {\n          if (typeof state == \"object\")\n            copy(state, xg);\n          prng.state = function() {\n            return copy(xg, {});\n          };\n        }\n        return prng;\n      }\n      if (module2 && module2.exports) {\n        module2.exports = impl;\n      } else if (define2 && define2.amd) {\n        define2(function() {\n          return impl;\n        });\n      } else {\n        this.xor128 = impl;\n      }\n    })(exports, typeof module == \"object\" && module, typeof define == \"function\" && define);\n  }\n});\nvar require_xorwow = __commonJS({\n  \"node_modules/.pnpm/seedrandom@3.0.5/node_modules/seedrandom/lib/xorwow.js\"(exports, module) {\n    (function(global2, module2, define2) {\n      function XorGen(seed) {\n        var me = this, strseed = \"\";\n        me.next = function() {\n          var t = me.x ^ me.x >>> 2;\n          me.x = me.y;\n          me.y = me.z;\n          me.z = me.w;\n          me.w = me.v;\n          return (me.d = me.d + 362437 | 0) + (me.v = me.v ^ me.v << 4 ^ (t ^ t << 1)) | 0;\n        };\n        me.x = 0;\n        me.y = 0;\n        me.z = 0;\n        me.w = 0;\n        me.v = 0;\n        if (seed === (seed | 0)) {\n          me.x = seed;\n        } else {\n          strseed += seed;\n        }\n        for (var k = 0; k < strseed.length + 64; k++) {\n          me.x ^= strseed.charCodeAt(k) | 0;\n          if (k == strseed.length) {\n            me.d = me.x << 10 ^ me.x >>> 4;\n          }\n          me.next();\n        }\n      }\n      function copy(f, t) {\n        t.x = f.x;\n        t.y = f.y;\n        t.z = f.z;\n        t.w = f.w;\n        t.v = f.v;\n        t.d = f.d;\n        return t;\n      }\n      function impl(seed, opts) {\n        var xg = new XorGen(seed), state = opts && opts.state, prng = function() {\n          return (xg.next() >>> 0) / 4294967296;\n        };\n        prng.double = function() {\n          do {\n            var top = xg.next() >>> 11, bot = (xg.next() >>> 0) / 4294967296, result = (top + bot) / (1 << 21);\n          } while (result === 0);\n          return result;\n        };\n        prng.int32 = xg.next;\n        prng.quick = prng;\n        if (state) {\n          if (typeof state == \"object\")\n            copy(state, xg);\n          prng.state = function() {\n            return copy(xg, {});\n          };\n        }\n        return prng;\n      }\n      if (module2 && module2.exports) {\n        module2.exports = impl;\n      } else if (define2 && define2.amd) {\n        define2(function() {\n          return impl;\n        });\n      } else {\n        this.xorwow = impl;\n      }\n    })(exports, typeof module == \"object\" && module, typeof define == \"function\" && define);\n  }\n});\nvar require_xorshift7 = __commonJS({\n  \"node_modules/.pnpm/seedrandom@3.0.5/node_modules/seedrandom/lib/xorshift7.js\"(exports, module) {\n    (function(global2, module2, define2) {\n      function XorGen(seed) {\n        var me = this;\n        me.next = function() {\n          var X = me.x, i = me.i, t, v, w;\n          t = X[i];\n          t ^= t >>> 7;\n          v = t ^ t << 24;\n          t = X[i + 1 & 7];\n          v ^= t ^ t >>> 10;\n          t = X[i + 3 & 7];\n          v ^= t ^ t >>> 3;\n          t = X[i + 4 & 7];\n          v ^= t ^ t << 7;\n          t = X[i + 7 & 7];\n          t = t ^ t << 13;\n          v ^= t ^ t << 9;\n          X[i] = v;\n          me.i = i + 1 & 7;\n          return v;\n        };\n        function init2(me2, seed2) {\n          var j, w, X = [];\n          if (seed2 === (seed2 | 0)) {\n            w = X[0] = seed2;\n          } else {\n            seed2 = \"\" + seed2;\n            for (j = 0; j < seed2.length; ++j) {\n              X[j & 7] = X[j & 7] << 15 ^ seed2.charCodeAt(j) + X[j + 1 & 7] << 13;\n            }\n          }\n          while (X.length < 8)\n            X.push(0);\n          for (j = 0; j < 8 && X[j] === 0; ++j)\n            ;\n          if (j == 8)\n            w = X[7] = -1;\n          else\n            w = X[j];\n          me2.x = X;\n          me2.i = 0;\n          for (j = 256; j > 0; --j) {\n            me2.next();\n          }\n        }\n        init2(me, seed);\n      }\n      function copy(f, t) {\n        t.x = f.x.slice();\n        t.i = f.i;\n        return t;\n      }\n      function impl(seed, opts) {\n        if (seed == null)\n          seed = +new Date();\n        var xg = new XorGen(seed), state = opts && opts.state, prng = function() {\n          return (xg.next() >>> 0) / 4294967296;\n        };\n        prng.double = function() {\n          do {\n            var top = xg.next() >>> 11, bot = (xg.next() >>> 0) / 4294967296, result = (top + bot) / (1 << 21);\n          } while (result === 0);\n          return result;\n        };\n        prng.int32 = xg.next;\n        prng.quick = prng;\n        if (state) {\n          if (state.x)\n            copy(state, xg);\n          prng.state = function() {\n            return copy(xg, {});\n          };\n        }\n        return prng;\n      }\n      if (module2 && module2.exports) {\n        module2.exports = impl;\n      } else if (define2 && define2.amd) {\n        define2(function() {\n          return impl;\n        });\n      } else {\n        this.xorshift7 = impl;\n      }\n    })(exports, typeof module == \"object\" && module, typeof define == \"function\" && define);\n  }\n});\nvar require_xor4096 = __commonJS({\n  \"node_modules/.pnpm/seedrandom@3.0.5/node_modules/seedrandom/lib/xor4096.js\"(exports, module) {\n    (function(global2, module2, define2) {\n      function XorGen(seed) {\n        var me = this;\n        me.next = function() {\n          var w = me.w, X = me.X, i = me.i, t, v;\n          me.w = w = w + 1640531527 | 0;\n          v = X[i + 34 & 127];\n          t = X[i = i + 1 & 127];\n          v ^= v << 13;\n          t ^= t << 17;\n          v ^= v >>> 15;\n          t ^= t >>> 12;\n          v = X[i] = v ^ t;\n          me.i = i;\n          return v + (w ^ w >>> 16) | 0;\n        };\n        function init2(me2, seed2) {\n          var t, v, i, j, w, X = [], limit = 128;\n          if (seed2 === (seed2 | 0)) {\n            v = seed2;\n            seed2 = null;\n          } else {\n            seed2 = seed2 + \"\\0\";\n            v = 0;\n            limit = Math.max(limit, seed2.length);\n          }\n          for (i = 0, j = -32; j < limit; ++j) {\n            if (seed2)\n              v ^= seed2.charCodeAt((j + 32) % seed2.length);\n            if (j === 0)\n              w = v;\n            v ^= v << 10;\n            v ^= v >>> 15;\n            v ^= v << 4;\n            v ^= v >>> 13;\n            if (j >= 0) {\n              w = w + 1640531527 | 0;\n              t = X[j & 127] ^= v + w;\n              i = t == 0 ? i + 1 : 0;\n            }\n          }\n          if (i >= 128) {\n            X[(seed2 && seed2.length || 0) & 127] = -1;\n          }\n          i = 127;\n          for (j = 4 * 128; j > 0; --j) {\n            v = X[i + 34 & 127];\n            t = X[i = i + 1 & 127];\n            v ^= v << 13;\n            t ^= t << 17;\n            v ^= v >>> 15;\n            t ^= t >>> 12;\n            X[i] = v ^ t;\n          }\n          me2.w = w;\n          me2.X = X;\n          me2.i = i;\n        }\n        init2(me, seed);\n      }\n      function copy(f, t) {\n        t.i = f.i;\n        t.w = f.w;\n        t.X = f.X.slice();\n        return t;\n      }\n      ;\n      function impl(seed, opts) {\n        if (seed == null)\n          seed = +new Date();\n        var xg = new XorGen(seed), state = opts && opts.state, prng = function() {\n          return (xg.next() >>> 0) / 4294967296;\n        };\n        prng.double = function() {\n          do {\n            var top = xg.next() >>> 11, bot = (xg.next() >>> 0) / 4294967296, result = (top + bot) / (1 << 21);\n          } while (result === 0);\n          return result;\n        };\n        prng.int32 = xg.next;\n        prng.quick = prng;\n        if (state) {\n          if (state.X)\n            copy(state, xg);\n          prng.state = function() {\n            return copy(xg, {});\n          };\n        }\n        return prng;\n      }\n      if (module2 && module2.exports) {\n        module2.exports = impl;\n      } else if (define2 && define2.amd) {\n        define2(function() {\n          return impl;\n        });\n      } else {\n        this.xor4096 = impl;\n      }\n    })(exports, typeof module == \"object\" && module, typeof define == \"function\" && define);\n  }\n});\nvar require_tychei = __commonJS({\n  \"node_modules/.pnpm/seedrandom@3.0.5/node_modules/seedrandom/lib/tychei.js\"(exports, module) {\n    (function(global2, module2, define2) {\n      function XorGen(seed) {\n        var me = this, strseed = \"\";\n        me.next = function() {\n          var b = me.b, c = me.c, d = me.d, a = me.a;\n          b = b << 25 ^ b >>> 7 ^ c;\n          c = c - d | 0;\n          d = d << 24 ^ d >>> 8 ^ a;\n          a = a - b | 0;\n          me.b = b = b << 20 ^ b >>> 12 ^ c;\n          me.c = c = c - d | 0;\n          me.d = d << 16 ^ c >>> 16 ^ a;\n          return me.a = a - b | 0;\n        };\n        me.a = 0;\n        me.b = 0;\n        me.c = 2654435769 | 0;\n        me.d = 1367130551;\n        if (seed === Math.floor(seed)) {\n          me.a = seed / 4294967296 | 0;\n          me.b = seed | 0;\n        } else {\n          strseed += seed;\n        }\n        for (var k = 0; k < strseed.length + 20; k++) {\n          me.b ^= strseed.charCodeAt(k) | 0;\n          me.next();\n        }\n      }\n      function copy(f, t) {\n        t.a = f.a;\n        t.b = f.b;\n        t.c = f.c;\n        t.d = f.d;\n        return t;\n      }\n      ;\n      function impl(seed, opts) {\n        var xg = new XorGen(seed), state = opts && opts.state, prng = function() {\n          return (xg.next() >>> 0) / 4294967296;\n        };\n        prng.double = function() {\n          do {\n            var top = xg.next() >>> 11, bot = (xg.next() >>> 0) / 4294967296, result = (top + bot) / (1 << 21);\n          } while (result === 0);\n          return result;\n        };\n        prng.int32 = xg.next;\n        prng.quick = prng;\n        if (state) {\n          if (typeof state == \"object\")\n            copy(state, xg);\n          prng.state = function() {\n            return copy(xg, {});\n          };\n        }\n        return prng;\n      }\n      if (module2 && module2.exports) {\n        module2.exports = impl;\n      } else if (define2 && define2.amd) {\n        define2(function() {\n          return impl;\n        });\n      } else {\n        this.tychei = impl;\n      }\n    })(exports, typeof module == \"object\" && module, typeof define == \"function\" && define);\n  }\n});\nvar require_crypto = __commonJS({\n  \"(disabled):crypto\"() {\n  }\n});\nvar require_seedrandom = __commonJS({\n  \"node_modules/.pnpm/seedrandom@3.0.5/node_modules/seedrandom/seedrandom.js\"(exports, module) {\n    (function(global2, pool3, math) {\n      var width = 256, chunks = 6, digits = 52, rngname = \"random\", startdenom = math.pow(width, chunks), significance = math.pow(2, digits), overflow = significance * 2, mask = width - 1, nodecrypto;\n      function seedrandom5(seed, options, callback) {\n        var key = [];\n        options = options == true ? { entropy: true } : options || {};\n        var shortseed = mixkey(flatten4(options.entropy ? [seed, tostring(pool3)] : seed == null ? autoseed() : seed, 3), key);\n        var arc4 = new ARC4(key);\n        var prng = function() {\n          var n = arc4.g(chunks), d = startdenom, x = 0;\n          while (n < significance) {\n            n = (n + x) * width;\n            d *= width;\n            x = arc4.g(1);\n          }\n          while (n >= overflow) {\n            n /= 2;\n            d /= 2;\n            x >>>= 1;\n          }\n          return (n + x) / d;\n        };\n        prng.int32 = function() {\n          return arc4.g(4) | 0;\n        };\n        prng.quick = function() {\n          return arc4.g(4) / 4294967296;\n        };\n        prng.double = prng;\n        mixkey(tostring(arc4.S), pool3);\n        return (options.pass || callback || function(prng2, seed2, is_math_call, state) {\n          if (state) {\n            if (state.S) {\n              copy(state, arc4);\n            }\n            prng2.state = function() {\n              return copy(arc4, {});\n            };\n          }\n          if (is_math_call) {\n            math[rngname] = prng2;\n            return seed2;\n          } else\n            return prng2;\n        })(prng, shortseed, \"global\" in options ? options.global : this == math, options.state);\n      }\n      function ARC4(key) {\n        var t, keylen = key.length, me = this, i = 0, j = me.i = me.j = 0, s = me.S = [];\n        if (!keylen) {\n          key = [keylen++];\n        }\n        while (i < width) {\n          s[i] = i++;\n        }\n        for (i = 0; i < width; i++) {\n          s[i] = s[j = mask & j + key[i % keylen] + (t = s[i])];\n          s[j] = t;\n        }\n        (me.g = function(count2) {\n          var t2, r = 0, i2 = me.i, j2 = me.j, s2 = me.S;\n          while (count2--) {\n            t2 = s2[i2 = mask & i2 + 1];\n            r = r * width + s2[mask & (s2[i2] = s2[j2 = mask & j2 + t2]) + (s2[j2] = t2)];\n          }\n          me.i = i2;\n          me.j = j2;\n          return r;\n        })(width);\n      }\n      function copy(f, t) {\n        t.i = f.i;\n        t.j = f.j;\n        t.S = f.S.slice();\n        return t;\n      }\n      ;\n      function flatten4(obj, depth) {\n        var result = [], typ = typeof obj, prop;\n        if (depth && typ == \"object\") {\n          for (prop in obj) {\n            try {\n              result.push(flatten4(obj[prop], depth - 1));\n            } catch (e) {\n            }\n          }\n        }\n        return result.length ? result : typ == \"string\" ? obj : obj + \"\\0\";\n      }\n      function mixkey(seed, key) {\n        var stringseed = seed + \"\", smear, j = 0;\n        while (j < stringseed.length) {\n          key[mask & j] = mask & (smear ^= key[mask & j] * 19) + stringseed.charCodeAt(j++);\n        }\n        return tostring(key);\n      }\n      function autoseed() {\n        try {\n          var out;\n          if (nodecrypto && (out = nodecrypto.randomBytes)) {\n            out = out(width);\n          } else {\n            out = new Uint8Array(width);\n            (global2.crypto || global2.msCrypto).getRandomValues(out);\n          }\n          return tostring(out);\n        } catch (e) {\n          var browser = global2.navigator, plugins = browser && browser.plugins;\n          return [+new Date(), global2, plugins, global2.screen, tostring(pool3)];\n        }\n      }\n      function tostring(a) {\n        return String.fromCharCode.apply(0, a);\n      }\n      mixkey(math.random(), pool3);\n      if (typeof module == \"object\" && module.exports) {\n        module.exports = seedrandom5;\n        try {\n          nodecrypto = require_crypto();\n        } catch (ex) {\n        }\n      } else if (typeof define == \"function\" && define.amd) {\n        define(function() {\n          return seedrandom5;\n        });\n      } else {\n        math[\"seed\" + rngname] = seedrandom5;\n      }\n    })(typeof self !== \"undefined\" ? self : exports, [], Math);\n  }\n});\nvar require_seedrandom2 = __commonJS({\n  \"node_modules/.pnpm/seedrandom@3.0.5/node_modules/seedrandom/index.js\"(exports, module) {\n    var alea5 = require_alea();\n    var xor128 = require_xor128();\n    var xorwow = require_xorwow();\n    var xorshift7 = require_xorshift7();\n    var xor4096 = require_xor4096();\n    var tychei = require_tychei();\n    var sr = require_seedrandom();\n    sr.alea = alea5;\n    sr.xor128 = xor128;\n    sr.xorwow = xorwow;\n    sr.xorshift7 = xorshift7;\n    sr.xor4096 = xor4096;\n    sr.tychei = tychei;\n    module.exports = sr;\n  }\n});\nvar require_string_decoder = __commonJS({\n  \"(disabled):src/node_modules/string_decoder/index.js\"() {\n  }\n});\nvar require_tfjs_backend_wasm_threaded_simd = __commonJS({\n  \"src/tfjs-backend-wasm/wasm-out/tfjs-backend-wasm-threaded-simd.js\"(exports, module) {\n    var WasmBackendModuleThreadedSimd = function() {\n      var _scriptDir = typeof document !== \"undefined\" && document.currentScript ? document.currentScript.src : void 0;\n      if (typeof __filename !== \"undefined\")\n        _scriptDir = _scriptDir || __filename;\n      return function(WasmBackendModuleThreadedSimd2) {\n        WasmBackendModuleThreadedSimd2 = WasmBackendModuleThreadedSimd2 || {};\n        function GROWABLE_HEAP_I8() {\n          if (wasmMemory.buffer != buffer2) {\n            updateGlobalBufferAndViews(wasmMemory.buffer);\n          }\n          return HEAP8;\n        }\n        function GROWABLE_HEAP_U8() {\n          if (wasmMemory.buffer != buffer2) {\n            updateGlobalBufferAndViews(wasmMemory.buffer);\n          }\n          return HEAPU8;\n        }\n        function GROWABLE_HEAP_I32() {\n          if (wasmMemory.buffer != buffer2) {\n            updateGlobalBufferAndViews(wasmMemory.buffer);\n          }\n          return HEAP32;\n        }\n        function GROWABLE_HEAP_U32() {\n          if (wasmMemory.buffer != buffer2) {\n            updateGlobalBufferAndViews(wasmMemory.buffer);\n          }\n          return HEAPU32;\n        }\n        function GROWABLE_HEAP_F64() {\n          if (wasmMemory.buffer != buffer2) {\n            updateGlobalBufferAndViews(wasmMemory.buffer);\n          }\n          return HEAPF64;\n        }\n        var Module = typeof WasmBackendModuleThreadedSimd2 !== \"undefined\" ? WasmBackendModuleThreadedSimd2 : {};\n        var readyPromiseResolve, readyPromiseReject;\n        Module[\"ready\"] = new Promise(function(resolve, reject) {\n          readyPromiseResolve = resolve;\n          readyPromiseReject = reject;\n        });\n        var moduleOverrides = {};\n        var key;\n        for (key in Module) {\n          if (Module.hasOwnProperty(key)) {\n            moduleOverrides[key] = Module[key];\n          }\n        }\n        var arguments_ = [];\n        var thisProgram = \"./this.program\";\n        var quit_ = function(status, toThrow) {\n          throw toThrow;\n        };\n        var ENVIRONMENT_IS_WEB = false;\n        var ENVIRONMENT_IS_WORKER = false;\n        var ENVIRONMENT_IS_NODE = false;\n        var ENVIRONMENT_IS_SHELL = false;\n        ENVIRONMENT_IS_WEB = typeof window === \"object\";\n        ENVIRONMENT_IS_WORKER = typeof importScripts === \"function\";\n        ENVIRONMENT_IS_NODE = typeof process === \"object\" && typeof process.versions === \"object\" && typeof process.versions.node === \"string\";\n        ENVIRONMENT_IS_SHELL = !ENVIRONMENT_IS_WEB && !ENVIRONMENT_IS_NODE && !ENVIRONMENT_IS_WORKER;\n        var ENVIRONMENT_IS_PTHREAD = Module[\"ENVIRONMENT_IS_PTHREAD\"] || false;\n        if (ENVIRONMENT_IS_PTHREAD) {\n          buffer2 = Module[\"buffer\"];\n        }\n        var scriptDirectory = \"\";\n        function locateFile(path) {\n          if (Module[\"locateFile\"]) {\n            return Module[\"locateFile\"](path, scriptDirectory);\n          }\n          return scriptDirectory + path;\n        }\n        var read_, readAsync, readBinary, setWindowTitle;\n        var nodeFS;\n        var nodePath;\n        if (ENVIRONMENT_IS_NODE) {\n          if (ENVIRONMENT_IS_WORKER) {\n            scriptDirectory = __require2(\"path\").dirname(scriptDirectory) + \"/\";\n          } else {\n            scriptDirectory = __dirname + \"/\";\n          }\n          read_ = function shell_read(filename, binary) {\n            if (!nodeFS)\n              nodeFS = __require2(\"fs\");\n            if (!nodePath)\n              nodePath = __require2(\"path\");\n            filename = nodePath[\"normalize\"](filename);\n            return nodeFS[\"readFileSync\"](filename, binary ? null : \"utf8\");\n          };\n          readBinary = function readBinary2(filename) {\n            var ret = read_(filename, true);\n            if (!ret.buffer) {\n              ret = new Uint8Array(ret);\n            }\n            assert3(ret.buffer);\n            return ret;\n          };\n          if (process[\"argv\"].length > 1) {\n            thisProgram = process[\"argv\"][1].replace(/\\\\/g, \"/\");\n          }\n          arguments_ = process[\"argv\"].slice(2);\n          process[\"on\"](\"uncaughtException\", function(ex) {\n            if (!(ex instanceof ExitStatus)) {\n              throw ex;\n            }\n          });\n          process[\"on\"](\"unhandledRejection\", abort);\n          quit_ = function(status) {\n            process[\"exit\"](status);\n          };\n          Module[\"inspect\"] = function() {\n            return \"[Emscripten Module object]\";\n          };\n          var nodeWorkerThreads;\n          try {\n            nodeWorkerThreads = __require2(\"worker_threads\");\n          } catch (e) {\n            console.error('The \"worker_threads\" module is not supported in this node.js build - perhaps a newer version is needed?');\n            throw e;\n          }\n          global.Worker = nodeWorkerThreads.Worker;\n        } else if (ENVIRONMENT_IS_SHELL) {\n          if (typeof read != \"undefined\") {\n            read_ = function shell_read(f) {\n              return read(f);\n            };\n          }\n          readBinary = function readBinary2(f) {\n            var data;\n            if (typeof readbuffer === \"function\") {\n              return new Uint8Array(readbuffer(f));\n            }\n            data = read(f, \"binary\");\n            assert3(typeof data === \"object\");\n            return data;\n          };\n          if (typeof scriptArgs != \"undefined\") {\n            arguments_ = scriptArgs;\n          } else if (typeof arguments != \"undefined\") {\n            arguments_ = arguments;\n          }\n          if (typeof quit === \"function\") {\n            quit_ = function(status) {\n              quit(status);\n            };\n          }\n          if (typeof print !== \"undefined\") {\n            if (typeof console === \"undefined\")\n              console = {};\n            console.log = print;\n            console.warn = console.error = typeof printErr !== \"undefined\" ? printErr : print;\n          }\n        } else if (ENVIRONMENT_IS_WEB || ENVIRONMENT_IS_WORKER) {\n          if (ENVIRONMENT_IS_WORKER) {\n            scriptDirectory = self.location.href;\n          } else if (typeof document !== \"undefined\" && document.currentScript) {\n            scriptDirectory = document.currentScript.src;\n          }\n          if (typeof _scriptDir !== \"undefined\" && _scriptDir) {\n            scriptDirectory = _scriptDir;\n          }\n          if (scriptDirectory.indexOf(\"blob:\") !== 0) {\n            scriptDirectory = scriptDirectory.substr(0, scriptDirectory.lastIndexOf(\"/\") + 1);\n          } else {\n            scriptDirectory = \"\";\n          }\n          if (ENVIRONMENT_IS_NODE) {\n            read_ = function shell_read(filename, binary) {\n              if (!nodeFS)\n                nodeFS = __require2(\"fs\");\n              if (!nodePath)\n                nodePath = __require2(\"path\");\n              filename = nodePath[\"normalize\"](filename);\n              return nodeFS[\"readFileSync\"](filename, binary ? null : \"utf8\");\n            };\n            readBinary = function readBinary2(filename) {\n              var ret = read_(filename, true);\n              if (!ret.buffer) {\n                ret = new Uint8Array(ret);\n              }\n              assert3(ret.buffer);\n              return ret;\n            };\n          } else {\n            read_ = function(url) {\n              var xhr = new XMLHttpRequest();\n              xhr.open(\"GET\", url, false);\n              xhr.send(null);\n              return xhr.responseText;\n            };\n            if (ENVIRONMENT_IS_WORKER) {\n              readBinary = function(url) {\n                var xhr = new XMLHttpRequest();\n                xhr.open(\"GET\", url, false);\n                xhr.responseType = \"arraybuffer\";\n                xhr.send(null);\n                return new Uint8Array(xhr.response);\n              };\n            }\n            readAsync = function(url, onload, onerror) {\n              var xhr = new XMLHttpRequest();\n              xhr.open(\"GET\", url, true);\n              xhr.responseType = \"arraybuffer\";\n              xhr.onload = function() {\n                if (xhr.status == 200 || xhr.status == 0 && xhr.response) {\n                  onload(xhr.response);\n                  return;\n                }\n                onerror();\n              };\n              xhr.onerror = onerror;\n              xhr.send(null);\n            };\n          }\n          setWindowTitle = function(title) {\n            document.title = title;\n          };\n        } else {\n        }\n        if (ENVIRONMENT_IS_NODE) {\n          if (typeof performance === \"undefined\") {\n            global.performance = __require2(\"perf_hooks\").performance;\n          }\n        }\n        var out = Module[\"print\"] || console.log.bind(console);\n        var err = Module[\"printErr\"] || console.warn.bind(console);\n        for (key in moduleOverrides) {\n          if (moduleOverrides.hasOwnProperty(key)) {\n            Module[key] = moduleOverrides[key];\n          }\n        }\n        moduleOverrides = null;\n        if (Module[\"arguments\"])\n          arguments_ = Module[\"arguments\"];\n        if (Module[\"thisProgram\"])\n          thisProgram = Module[\"thisProgram\"];\n        if (Module[\"quit\"])\n          quit_ = Module[\"quit\"];\n        function warnOnce(text) {\n          if (!warnOnce.shown)\n            warnOnce.shown = {};\n          if (!warnOnce.shown[text]) {\n            warnOnce.shown[text] = 1;\n            err(text);\n          }\n        }\n        var Atomics_load = Atomics.load;\n        var Atomics_store = Atomics.store;\n        var Atomics_compareExchange = Atomics.compareExchange;\n        var wasmBinary;\n        if (Module[\"wasmBinary\"])\n          wasmBinary = Module[\"wasmBinary\"];\n        var noExitRuntime = Module[\"noExitRuntime\"] || true;\n        if (typeof WebAssembly !== \"object\") {\n          abort(\"no native wasm support detected\");\n        }\n        var wasmMemory;\n        var wasmModule;\n        var ABORT = false;\n        var EXITSTATUS;\n        function assert3(condition, text) {\n          if (!condition) {\n            abort(\"Assertion failed: \" + text);\n          }\n        }\n        function getCFunc(ident) {\n          var func2 = Module[\"_\" + ident];\n          assert3(func2, \"Cannot call unknown function \" + ident + \", make sure it is exported\");\n          return func2;\n        }\n        function ccall(ident, returnType, argTypes, args, opts) {\n          var toC = { \"string\": function(str) {\n            var ret2 = 0;\n            if (str !== null && str !== void 0 && str !== 0) {\n              var len = (str.length << 2) + 1;\n              ret2 = stackAlloc(len);\n              stringToUTF8(str, ret2, len);\n            }\n            return ret2;\n          }, \"array\": function(arr) {\n            var ret2 = stackAlloc(arr.length);\n            writeArrayToMemory(arr, ret2);\n            return ret2;\n          } };\n          function convertReturnValue(ret2) {\n            if (returnType === \"string\")\n              return UTF8ToString(ret2);\n            if (returnType === \"boolean\")\n              return Boolean(ret2);\n            return ret2;\n          }\n          var func2 = getCFunc(ident);\n          var cArgs = [];\n          var stack2 = 0;\n          if (args) {\n            for (var i = 0; i < args.length; i++) {\n              var converter = toC[argTypes[i]];\n              if (converter) {\n                if (stack2 === 0)\n                  stack2 = stackSave();\n                cArgs[i] = converter(args[i]);\n              } else {\n                cArgs[i] = args[i];\n              }\n            }\n          }\n          var ret = func2.apply(null, cArgs);\n          ret = convertReturnValue(ret);\n          if (stack2 !== 0)\n            stackRestore(stack2);\n          return ret;\n        }\n        function cwrap(ident, returnType, argTypes, opts) {\n          argTypes = argTypes || [];\n          var numericArgs = argTypes.every(function(type) {\n            return type === \"number\";\n          });\n          var numericRet = returnType !== \"string\";\n          if (numericRet && numericArgs && !opts) {\n            return getCFunc(ident);\n          }\n          return function() {\n            return ccall(ident, returnType, argTypes, arguments, opts);\n          };\n        }\n        function UTF8ArrayToString(heap, idx, maxBytesToRead) {\n          var endIdx = idx + maxBytesToRead;\n          var str = \"\";\n          while (!(idx >= endIdx)) {\n            var u0 = heap[idx++];\n            if (!u0)\n              return str;\n            if (!(u0 & 128)) {\n              str += String.fromCharCode(u0);\n              continue;\n            }\n            var u1 = heap[idx++] & 63;\n            if ((u0 & 224) == 192) {\n              str += String.fromCharCode((u0 & 31) << 6 | u1);\n              continue;\n            }\n            var u2 = heap[idx++] & 63;\n            if ((u0 & 240) == 224) {\n              u0 = (u0 & 15) << 12 | u1 << 6 | u2;\n            } else {\n              u0 = (u0 & 7) << 18 | u1 << 12 | u2 << 6 | heap[idx++] & 63;\n            }\n            if (u0 < 65536) {\n              str += String.fromCharCode(u0);\n            } else {\n              var ch = u0 - 65536;\n              str += String.fromCharCode(55296 | ch >> 10, 56320 | ch & 1023);\n            }\n          }\n          return str;\n        }\n        function UTF8ToString(ptr, maxBytesToRead) {\n          return ptr ? UTF8ArrayToString(GROWABLE_HEAP_U8(), ptr, maxBytesToRead) : \"\";\n        }\n        function stringToUTF8Array(str, heap, outIdx, maxBytesToWrite) {\n          if (!(maxBytesToWrite > 0))\n            return 0;\n          var startIdx = outIdx;\n          var endIdx = outIdx + maxBytesToWrite - 1;\n          for (var i = 0; i < str.length; ++i) {\n            var u = str.charCodeAt(i);\n            if (u >= 55296 && u <= 57343) {\n              var u1 = str.charCodeAt(++i);\n              u = 65536 + ((u & 1023) << 10) | u1 & 1023;\n            }\n            if (u <= 127) {\n              if (outIdx >= endIdx)\n                break;\n              heap[outIdx++] = u;\n            } else if (u <= 2047) {\n              if (outIdx + 1 >= endIdx)\n                break;\n              heap[outIdx++] = 192 | u >> 6;\n              heap[outIdx++] = 128 | u & 63;\n            } else if (u <= 65535) {\n              if (outIdx + 2 >= endIdx)\n                break;\n              heap[outIdx++] = 224 | u >> 12;\n              heap[outIdx++] = 128 | u >> 6 & 63;\n              heap[outIdx++] = 128 | u & 63;\n            } else {\n              if (outIdx + 3 >= endIdx)\n                break;\n              heap[outIdx++] = 240 | u >> 18;\n              heap[outIdx++] = 128 | u >> 12 & 63;\n              heap[outIdx++] = 128 | u >> 6 & 63;\n              heap[outIdx++] = 128 | u & 63;\n            }\n          }\n          heap[outIdx] = 0;\n          return outIdx - startIdx;\n        }\n        function stringToUTF8(str, outPtr, maxBytesToWrite) {\n          return stringToUTF8Array(str, GROWABLE_HEAP_U8(), outPtr, maxBytesToWrite);\n        }\n        function lengthBytesUTF8(str) {\n          var len = 0;\n          for (var i = 0; i < str.length; ++i) {\n            var u = str.charCodeAt(i);\n            if (u >= 55296 && u <= 57343)\n              u = 65536 + ((u & 1023) << 10) | str.charCodeAt(++i) & 1023;\n            if (u <= 127)\n              ++len;\n            else if (u <= 2047)\n              len += 2;\n            else if (u <= 65535)\n              len += 3;\n            else\n              len += 4;\n          }\n          return len;\n        }\n        function writeArrayToMemory(array2, buffer3) {\n          GROWABLE_HEAP_I8().set(array2, buffer3);\n        }\n        function alignUp(x, multiple) {\n          if (x % multiple > 0) {\n            x += multiple - x % multiple;\n          }\n          return x;\n        }\n        var buffer2, HEAP8, HEAPU8, HEAP16, HEAPU16, HEAP32, HEAPU32, HEAPF32, HEAPF64;\n        function updateGlobalBufferAndViews(buf) {\n          buffer2 = buf;\n          Module[\"HEAP8\"] = HEAP8 = new Int8Array(buf);\n          Module[\"HEAP16\"] = HEAP16 = new Int16Array(buf);\n          Module[\"HEAP32\"] = HEAP32 = new Int32Array(buf);\n          Module[\"HEAPU8\"] = HEAPU8 = new Uint8Array(buf);\n          Module[\"HEAPU16\"] = HEAPU16 = new Uint16Array(buf);\n          Module[\"HEAPU32\"] = HEAPU32 = new Uint32Array(buf);\n          Module[\"HEAPF32\"] = HEAPF32 = new Float32Array(buf);\n          Module[\"HEAPF64\"] = HEAPF64 = new Float64Array(buf);\n        }\n        var INITIAL_MEMORY = Module[\"INITIAL_MEMORY\"] || 16777216;\n        if (ENVIRONMENT_IS_PTHREAD) {\n          wasmMemory = Module[\"wasmMemory\"];\n          buffer2 = Module[\"buffer\"];\n        } else {\n          if (Module[\"wasmMemory\"]) {\n            wasmMemory = Module[\"wasmMemory\"];\n          } else {\n            wasmMemory = new WebAssembly.Memory({ \"initial\": INITIAL_MEMORY / 65536, \"maximum\": 2147483648 / 65536, \"shared\": true });\n            if (!(wasmMemory.buffer instanceof SharedArrayBuffer)) {\n              err(\"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\");\n              if (ENVIRONMENT_IS_NODE) {\n                console.log(\"(on node you may need: --experimental-wasm-threads --experimental-wasm-bulk-memory and also use a recent version)\");\n              }\n              throw Error(\"bad memory\");\n            }\n          }\n        }\n        if (wasmMemory) {\n          buffer2 = wasmMemory.buffer;\n        }\n        INITIAL_MEMORY = buffer2.byteLength;\n        updateGlobalBufferAndViews(buffer2);\n        var wasmTable;\n        var __ATPRERUN__ = [];\n        var __ATINIT__ = [];\n        var __ATMAIN__ = [];\n        var __ATEXIT__ = [];\n        var __ATPOSTRUN__ = [];\n        var runtimeInitialized = false;\n        var runtimeExited = false;\n        if (!ENVIRONMENT_IS_PTHREAD)\n          __ATINIT__.push({ func: function() {\n            ___wasm_call_ctors();\n          } });\n        function preRun() {\n          if (ENVIRONMENT_IS_PTHREAD)\n            return;\n          if (Module[\"preRun\"]) {\n            if (typeof Module[\"preRun\"] == \"function\")\n              Module[\"preRun\"] = [Module[\"preRun\"]];\n            while (Module[\"preRun\"].length) {\n              addOnPreRun(Module[\"preRun\"].shift());\n            }\n          }\n          callRuntimeCallbacks(__ATPRERUN__);\n        }\n        function initRuntime() {\n          runtimeInitialized = true;\n          if (ENVIRONMENT_IS_PTHREAD)\n            return;\n          callRuntimeCallbacks(__ATINIT__);\n        }\n        function preMain() {\n          if (ENVIRONMENT_IS_PTHREAD)\n            return;\n          callRuntimeCallbacks(__ATMAIN__);\n        }\n        function exitRuntime() {\n          if (ENVIRONMENT_IS_PTHREAD)\n            return;\n          runtimeExited = true;\n        }\n        function postRun() {\n          if (ENVIRONMENT_IS_PTHREAD)\n            return;\n          if (Module[\"postRun\"]) {\n            if (typeof Module[\"postRun\"] == \"function\")\n              Module[\"postRun\"] = [Module[\"postRun\"]];\n            while (Module[\"postRun\"].length) {\n              addOnPostRun(Module[\"postRun\"].shift());\n            }\n          }\n          callRuntimeCallbacks(__ATPOSTRUN__);\n        }\n        function addOnPreRun(cb) {\n          __ATPRERUN__.unshift(cb);\n        }\n        function addOnPostRun(cb) {\n          __ATPOSTRUN__.unshift(cb);\n        }\n        var runDependencies = 0;\n        var runDependencyWatcher = null;\n        var dependenciesFulfilled = null;\n        function addRunDependency(id) {\n          assert3(!ENVIRONMENT_IS_PTHREAD, \"addRunDependency cannot be used in a pthread worker\");\n          runDependencies++;\n          if (Module[\"monitorRunDependencies\"]) {\n            Module[\"monitorRunDependencies\"](runDependencies);\n          }\n        }\n        function removeRunDependency(id) {\n          runDependencies--;\n          if (Module[\"monitorRunDependencies\"]) {\n            Module[\"monitorRunDependencies\"](runDependencies);\n          }\n          if (runDependencies == 0) {\n            if (runDependencyWatcher !== null) {\n              clearInterval(runDependencyWatcher);\n              runDependencyWatcher = null;\n            }\n            if (dependenciesFulfilled) {\n              var callback = dependenciesFulfilled;\n              dependenciesFulfilled = null;\n              callback();\n            }\n          }\n        }\n        Module[\"preloadedImages\"] = {};\n        Module[\"preloadedAudios\"] = {};\n        function abort(what) {\n          if (Module[\"onAbort\"]) {\n            Module[\"onAbort\"](what);\n          }\n          if (ENVIRONMENT_IS_PTHREAD)\n            console.error(\"Pthread aborting at \" + new Error().stack);\n          what += \"\";\n          err(what);\n          ABORT = true;\n          EXITSTATUS = 1;\n          what = \"abort(\" + what + \"). Build with -s ASSERTIONS=1 for more info.\";\n          var e = new WebAssembly.RuntimeError(what);\n          readyPromiseReject(e);\n          throw e;\n        }\n        function hasPrefix(str, prefix) {\n          return String.prototype.startsWith ? str.startsWith(prefix) : str.indexOf(prefix) === 0;\n        }\n        var dataURIPrefix = \"data:application/octet-stream;base64,\";\n        function isDataURI(filename) {\n          return hasPrefix(filename, dataURIPrefix);\n        }\n        var fileURIPrefix = \"file://\";\n        function isFileURI(filename) {\n          return hasPrefix(filename, fileURIPrefix);\n        }\n        var wasmBinaryFile = \"tfjs-backend-wasm-threaded-simd.wasm\";\n        if (!isDataURI(wasmBinaryFile)) {\n          wasmBinaryFile = locateFile(wasmBinaryFile);\n        }\n        function getBinary(file) {\n          try {\n            if (file == wasmBinaryFile && wasmBinary) {\n              return new Uint8Array(wasmBinary);\n            }\n            if (readBinary) {\n              return readBinary(file);\n            } else {\n              throw \"both async and sync fetching of the wasm failed\";\n            }\n          } catch (err2) {\n            abort(err2);\n          }\n        }\n        function getBinaryPromise() {\n          if (!wasmBinary && (ENVIRONMENT_IS_WEB || ENVIRONMENT_IS_WORKER)) {\n            if (typeof fetch === \"function\" && !isFileURI(wasmBinaryFile)) {\n              return fetch(wasmBinaryFile, { credentials: \"same-origin\" }).then(function(response) {\n                if (!response[\"ok\"]) {\n                  throw \"failed to load wasm binary file at '\" + wasmBinaryFile + \"'\";\n                }\n                return response[\"arrayBuffer\"]();\n              }).catch(function() {\n                return getBinary(wasmBinaryFile);\n              });\n            } else {\n              if (readAsync) {\n                return new Promise(function(resolve, reject) {\n                  readAsync(wasmBinaryFile, function(response) {\n                    resolve(new Uint8Array(response));\n                  }, reject);\n                });\n              }\n            }\n          }\n          return Promise.resolve().then(function() {\n            return getBinary(wasmBinaryFile);\n          });\n        }\n        function createWasm() {\n          var info = { \"a\": asmLibraryArg };\n          function receiveInstance(instance, module2) {\n            var exports3 = instance.exports;\n            Module[\"asm\"] = exports3;\n            wasmTable = Module[\"asm\"][\"kb\"];\n            wasmModule = module2;\n            if (!ENVIRONMENT_IS_PTHREAD) {\n              var numWorkersToLoad = PThread.unusedWorkers.length;\n              PThread.unusedWorkers.forEach(function(w) {\n                PThread.loadWasmModuleToWorker(w, function() {\n                  if (!--numWorkersToLoad)\n                    removeRunDependency(\"wasm-instantiate\");\n                });\n              });\n            }\n          }\n          if (!ENVIRONMENT_IS_PTHREAD) {\n            addRunDependency(\"wasm-instantiate\");\n          }\n          function receiveInstantiatedSource(output) {\n            receiveInstance(output[\"instance\"], output[\"module\"]);\n          }\n          function instantiateArrayBuffer(receiver) {\n            return getBinaryPromise().then(function(binary) {\n              return WebAssembly.instantiate(binary, info);\n            }).then(receiver, function(reason) {\n              err(\"failed to asynchronously prepare wasm: \" + reason);\n              abort(reason);\n            });\n          }\n          function instantiateAsync() {\n            if (!wasmBinary && typeof WebAssembly.instantiateStreaming === \"function\" && !isDataURI(wasmBinaryFile) && !isFileURI(wasmBinaryFile) && typeof fetch === \"function\") {\n              return fetch(wasmBinaryFile, { credentials: \"same-origin\" }).then(function(response) {\n                var result = WebAssembly.instantiateStreaming(response, info);\n                return result.then(receiveInstantiatedSource, function(reason) {\n                  err(\"wasm streaming compile failed: \" + reason);\n                  err(\"falling back to ArrayBuffer instantiation\");\n                  return instantiateArrayBuffer(receiveInstantiatedSource);\n                });\n              });\n            } else {\n              return instantiateArrayBuffer(receiveInstantiatedSource);\n            }\n          }\n          if (Module[\"instantiateWasm\"]) {\n            try {\n              var exports2 = Module[\"instantiateWasm\"](info, receiveInstance);\n              return exports2;\n            } catch (e) {\n              err(\"Module.instantiateWasm callback failed with error: \" + e);\n              return false;\n            }\n          }\n          instantiateAsync().catch(readyPromiseReject);\n          return {};\n        }\n        var ASM_CONSTS = { 10072: function() {\n          throw \"Canceled!\";\n        }, 10090: function($0, $1) {\n          setTimeout(function() {\n            __emscripten_do_dispatch_to_thread($0, $1);\n          }, 0);\n        } };\n        function initPthreadsJS() {\n          PThread.initRuntime();\n        }\n        function callRuntimeCallbacks(callbacks2) {\n          while (callbacks2.length > 0) {\n            var callback = callbacks2.shift();\n            if (typeof callback == \"function\") {\n              callback(Module);\n              continue;\n            }\n            var func2 = callback.func;\n            if (typeof func2 === \"number\") {\n              if (callback.arg === void 0) {\n                wasmTable.get(func2)();\n              } else {\n                wasmTable.get(func2)(callback.arg);\n              }\n            } else {\n              func2(callback.arg === void 0 ? null : callback.arg);\n            }\n          }\n        }\n        var ERRNO_CODES = { EPERM: 63, ENOENT: 44, ESRCH: 71, EINTR: 27, EIO: 29, ENXIO: 60, E2BIG: 1, ENOEXEC: 45, EBADF: 8, ECHILD: 12, EAGAIN: 6, EWOULDBLOCK: 6, ENOMEM: 48, EACCES: 2, EFAULT: 21, ENOTBLK: 105, EBUSY: 10, EEXIST: 20, EXDEV: 75, ENODEV: 43, ENOTDIR: 54, EISDIR: 31, EINVAL: 28, ENFILE: 41, EMFILE: 33, ENOTTY: 59, ETXTBSY: 74, EFBIG: 22, ENOSPC: 51, ESPIPE: 70, EROFS: 69, EMLINK: 34, EPIPE: 64, EDOM: 18, ERANGE: 68, ENOMSG: 49, EIDRM: 24, ECHRNG: 106, EL2NSYNC: 156, EL3HLT: 107, EL3RST: 108, ELNRNG: 109, EUNATCH: 110, ENOCSI: 111, EL2HLT: 112, EDEADLK: 16, ENOLCK: 46, EBADE: 113, EBADR: 114, EXFULL: 115, ENOANO: 104, EBADRQC: 103, EBADSLT: 102, EDEADLOCK: 16, EBFONT: 101, ENOSTR: 100, ENODATA: 116, ETIME: 117, ENOSR: 118, ENONET: 119, ENOPKG: 120, EREMOTE: 121, ENOLINK: 47, EADV: 122, ESRMNT: 123, ECOMM: 124, EPROTO: 65, EMULTIHOP: 36, EDOTDOT: 125, EBADMSG: 9, ENOTUNIQ: 126, EBADFD: 127, EREMCHG: 128, ELIBACC: 129, ELIBBAD: 130, ELIBSCN: 131, ELIBMAX: 132, ELIBEXEC: 133, ENOSYS: 52, ENOTEMPTY: 55, ENAMETOOLONG: 37, ELOOP: 32, EOPNOTSUPP: 138, EPFNOSUPPORT: 139, ECONNRESET: 15, ENOBUFS: 42, EAFNOSUPPORT: 5, EPROTOTYPE: 67, ENOTSOCK: 57, ENOPROTOOPT: 50, ESHUTDOWN: 140, ECONNREFUSED: 14, EADDRINUSE: 3, ECONNABORTED: 13, ENETUNREACH: 40, ENETDOWN: 38, ETIMEDOUT: 73, EHOSTDOWN: 142, EHOSTUNREACH: 23, EINPROGRESS: 26, EALREADY: 7, EDESTADDRREQ: 17, EMSGSIZE: 35, EPROTONOSUPPORT: 66, ESOCKTNOSUPPORT: 137, EADDRNOTAVAIL: 4, ENETRESET: 39, EISCONN: 30, ENOTCONN: 53, ETOOMANYREFS: 141, EUSERS: 136, EDQUOT: 19, ESTALE: 72, ENOTSUP: 138, ENOMEDIUM: 148, EILSEQ: 25, EOVERFLOW: 61, ECANCELED: 11, ENOTRECOVERABLE: 56, EOWNERDEAD: 62, ESTRPIPE: 135 };\n        function _emscripten_futex_wake(addr, count2) {\n          if (addr <= 0 || addr > GROWABLE_HEAP_I8().length || addr & true || count2 < 0)\n            return -28;\n          if (count2 == 0)\n            return 0;\n          if (count2 >= 2147483647)\n            count2 = Infinity;\n          var mainThreadWaitAddress = Atomics.load(GROWABLE_HEAP_I32(), __emscripten_main_thread_futex >> 2);\n          var mainThreadWoken = 0;\n          if (mainThreadWaitAddress == addr) {\n            var loadedAddr = Atomics.compareExchange(GROWABLE_HEAP_I32(), __emscripten_main_thread_futex >> 2, mainThreadWaitAddress, 0);\n            if (loadedAddr == mainThreadWaitAddress) {\n              --count2;\n              mainThreadWoken = 1;\n              if (count2 <= 0)\n                return 1;\n            }\n          }\n          var ret = Atomics.notify(GROWABLE_HEAP_I32(), addr >> 2, count2);\n          if (ret >= 0)\n            return ret + mainThreadWoken;\n          throw \"Atomics.notify returned an unexpected value \" + ret;\n        }\n        Module[\"_emscripten_futex_wake\"] = _emscripten_futex_wake;\n        function killThread(pthread_ptr) {\n          if (ENVIRONMENT_IS_PTHREAD)\n            throw \"Internal Error! killThread() can only ever be called from main application thread!\";\n          if (!pthread_ptr)\n            throw \"Internal Error! Null pthread_ptr in killThread!\";\n          GROWABLE_HEAP_I32()[pthread_ptr + 12 >> 2] = 0;\n          var pthread = PThread.pthreads[pthread_ptr];\n          pthread.worker.terminate();\n          PThread.freeThreadData(pthread);\n          PThread.runningWorkers.splice(PThread.runningWorkers.indexOf(pthread.worker), 1);\n          pthread.worker.pthread = void 0;\n        }\n        function cancelThread(pthread_ptr) {\n          if (ENVIRONMENT_IS_PTHREAD)\n            throw \"Internal Error! cancelThread() can only ever be called from main application thread!\";\n          if (!pthread_ptr)\n            throw \"Internal Error! Null pthread_ptr in cancelThread!\";\n          var pthread = PThread.pthreads[pthread_ptr];\n          pthread.worker.postMessage({ \"cmd\": \"cancel\" });\n        }\n        function cleanupThread(pthread_ptr) {\n          if (ENVIRONMENT_IS_PTHREAD)\n            throw \"Internal Error! cleanupThread() can only ever be called from main application thread!\";\n          if (!pthread_ptr)\n            throw \"Internal Error! Null pthread_ptr in cleanupThread!\";\n          var pthread = PThread.pthreads[pthread_ptr];\n          if (pthread) {\n            GROWABLE_HEAP_I32()[pthread_ptr + 12 >> 2] = 0;\n            var worker = pthread.worker;\n            PThread.returnWorkerToPool(worker);\n          }\n        }\n        var PThread = { unusedWorkers: [], runningWorkers: [], initMainThreadBlock: function() {\n          var pthreadPoolSize = 8;\n          for (var i = 0; i < pthreadPoolSize; ++i) {\n            PThread.allocateUnusedWorker();\n          }\n        }, initRuntime: function() {\n          var tb = _malloc(228);\n          for (var i = 0; i < 228 / 4; ++i)\n            GROWABLE_HEAP_U32()[tb / 4 + i] = 0;\n          GROWABLE_HEAP_I32()[tb + 12 >> 2] = tb;\n          var headPtr = tb + 152;\n          GROWABLE_HEAP_I32()[headPtr >> 2] = headPtr;\n          var tlsMemory = _malloc(512);\n          for (var i = 0; i < 128; ++i)\n            GROWABLE_HEAP_U32()[tlsMemory / 4 + i] = 0;\n          Atomics.store(GROWABLE_HEAP_U32(), tb + 100 >> 2, tlsMemory);\n          Atomics.store(GROWABLE_HEAP_U32(), tb + 40 >> 2, tb);\n          __emscripten_thread_init(tb, !ENVIRONMENT_IS_WORKER, 1);\n          _emscripten_register_main_browser_thread_id(tb);\n        }, initWorker: function() {\n        }, pthreads: {}, threadExitHandlers: [], setThreadStatus: function() {\n        }, runExitHandlers: function() {\n          while (PThread.threadExitHandlers.length > 0) {\n            PThread.threadExitHandlers.pop()();\n          }\n          if (ENVIRONMENT_IS_PTHREAD && _pthread_self())\n            ___pthread_tsd_run_dtors();\n        }, runExitHandlersAndDeinitThread: function(tb, exitCode) {\n          Atomics.store(GROWABLE_HEAP_U32(), tb + 56 >> 2, 1);\n          Atomics.store(GROWABLE_HEAP_U32(), tb + 60 >> 2, 0);\n          PThread.runExitHandlers();\n          Atomics.store(GROWABLE_HEAP_U32(), tb + 4 >> 2, exitCode);\n          Atomics.store(GROWABLE_HEAP_U32(), tb + 0 >> 2, 1);\n          _emscripten_futex_wake(tb + 0, 2147483647);\n          __emscripten_thread_init(0, 0, 0);\n        }, threadExit: function(exitCode) {\n          var tb = _pthread_self();\n          if (tb) {\n            PThread.runExitHandlersAndDeinitThread(tb, exitCode);\n            if (ENVIRONMENT_IS_PTHREAD) {\n              postMessage({ \"cmd\": \"exit\" });\n            }\n          }\n        }, threadCancel: function() {\n          PThread.runExitHandlersAndDeinitThread(_pthread_self(), -1);\n          postMessage({ \"cmd\": \"cancelDone\" });\n        }, terminateAllThreads: function() {\n          for (var t in PThread.pthreads) {\n            var pthread = PThread.pthreads[t];\n            if (pthread && pthread.worker) {\n              PThread.returnWorkerToPool(pthread.worker);\n            }\n          }\n          PThread.pthreads = {};\n          for (var i = 0; i < PThread.unusedWorkers.length; ++i) {\n            var worker = PThread.unusedWorkers[i];\n            worker.terminate();\n          }\n          PThread.unusedWorkers = [];\n          for (var i = 0; i < PThread.runningWorkers.length; ++i) {\n            var worker = PThread.runningWorkers[i];\n            var pthread = worker.pthread;\n            PThread.freeThreadData(pthread);\n            worker.terminate();\n          }\n          PThread.runningWorkers = [];\n        }, freeThreadData: function(pthread) {\n          if (!pthread)\n            return;\n          if (pthread.threadInfoStruct) {\n            var tlsMemory = GROWABLE_HEAP_I32()[pthread.threadInfoStruct + 100 >> 2];\n            GROWABLE_HEAP_I32()[pthread.threadInfoStruct + 100 >> 2] = 0;\n            _free(tlsMemory);\n            _free(pthread.threadInfoStruct);\n          }\n          pthread.threadInfoStruct = 0;\n          if (pthread.allocatedOwnStack && pthread.stackBase)\n            _free(pthread.stackBase);\n          pthread.stackBase = 0;\n          if (pthread.worker)\n            pthread.worker.pthread = null;\n        }, returnWorkerToPool: function(worker) {\n          PThread.runWithoutMainThreadQueuedCalls(function() {\n            delete PThread.pthreads[worker.pthread.threadInfoStruct];\n            PThread.unusedWorkers.push(worker);\n            PThread.runningWorkers.splice(PThread.runningWorkers.indexOf(worker), 1);\n            PThread.freeThreadData(worker.pthread);\n            worker.pthread = void 0;\n          });\n        }, runWithoutMainThreadQueuedCalls: function(func2) {\n          GROWABLE_HEAP_I32()[__emscripten_allow_main_runtime_queued_calls >> 2] = 0;\n          try {\n            func2();\n          } finally {\n            GROWABLE_HEAP_I32()[__emscripten_allow_main_runtime_queued_calls >> 2] = 1;\n          }\n        }, receiveObjectTransfer: function(data) {\n        }, loadWasmModuleToWorker: function(worker, onFinishedLoading) {\n          worker.onmessage = function(e) {\n            var d = e[\"data\"];\n            var cmd = d[\"cmd\"];\n            if (worker.pthread)\n              PThread.currentProxiedOperationCallerThread = worker.pthread.threadInfoStruct;\n            if (d[\"targetThread\"] && d[\"targetThread\"] != _pthread_self()) {\n              var thread = PThread.pthreads[d.targetThread];\n              if (thread) {\n                thread.worker.postMessage(e.data, d[\"transferList\"]);\n              } else {\n                console.error('Internal error! Worker sent a message \"' + cmd + '\" to target pthread ' + d[\"targetThread\"] + \", but that thread no longer exists!\");\n              }\n              PThread.currentProxiedOperationCallerThread = void 0;\n              return;\n            }\n            if (cmd === \"processQueuedMainThreadWork\") {\n              _emscripten_main_thread_process_queued_calls();\n            } else if (cmd === \"spawnThread\") {\n              spawnThread(e.data);\n            } else if (cmd === \"cleanupThread\") {\n              cleanupThread(d[\"thread\"]);\n            } else if (cmd === \"killThread\") {\n              killThread(d[\"thread\"]);\n            } else if (cmd === \"cancelThread\") {\n              cancelThread(d[\"thread\"]);\n            } else if (cmd === \"loaded\") {\n              worker.loaded = true;\n              if (onFinishedLoading)\n                onFinishedLoading(worker);\n              if (worker.runPthread) {\n                worker.runPthread();\n                delete worker.runPthread;\n              }\n            } else if (cmd === \"print\") {\n              out(\"Thread \" + d[\"threadId\"] + \": \" + d[\"text\"]);\n            } else if (cmd === \"printErr\") {\n              err(\"Thread \" + d[\"threadId\"] + \": \" + d[\"text\"]);\n            } else if (cmd === \"alert\") {\n              alert(\"Thread \" + d[\"threadId\"] + \": \" + d[\"text\"]);\n            } else if (cmd === \"exit\") {\n              var detached = worker.pthread && Atomics.load(GROWABLE_HEAP_U32(), worker.pthread.threadInfoStruct + 64 >> 2);\n              if (detached) {\n                PThread.returnWorkerToPool(worker);\n              }\n            } else if (cmd === \"exitProcess\") {\n              try {\n                exit(d[\"returnCode\"]);\n              } catch (e2) {\n                if (e2 instanceof ExitStatus)\n                  return;\n                throw e2;\n              }\n            } else if (cmd === \"cancelDone\") {\n              PThread.returnWorkerToPool(worker);\n            } else if (cmd === \"objectTransfer\") {\n              PThread.receiveObjectTransfer(e.data);\n            } else if (e.data.target === \"setimmediate\") {\n              worker.postMessage(e.data);\n            } else {\n              err(\"worker sent an unknown command \" + cmd);\n            }\n            PThread.currentProxiedOperationCallerThread = void 0;\n          };\n          worker.onerror = function(e) {\n            err(\"pthread sent an error! \" + e.filename + \":\" + e.lineno + \": \" + e.message);\n          };\n          if (ENVIRONMENT_IS_NODE) {\n            worker.on(\"message\", function(data) {\n              worker.onmessage({ data });\n            });\n            worker.on(\"error\", function(data) {\n              worker.onerror(data);\n            });\n            worker.on(\"exit\", function(data) {\n            });\n          }\n          worker.postMessage({ \"cmd\": \"load\", \"urlOrBlob\": Module[\"mainScriptUrlOrBlob\"] || _scriptDir, \"wasmMemory\": wasmMemory, \"wasmModule\": wasmModule });\n        }, allocateUnusedWorker: function() {\n          var pthreadMainJs = locateFile(\"tfjs-backend-wasm-threaded-simd.worker.js\");\n          PThread.unusedWorkers.push(new Worker(pthreadMainJs));\n        }, getNewWorker: function() {\n          if (PThread.unusedWorkers.length == 0) {\n            PThread.allocateUnusedWorker();\n            PThread.loadWasmModuleToWorker(PThread.unusedWorkers[0]);\n          }\n          if (PThread.unusedWorkers.length > 0)\n            return PThread.unusedWorkers.pop();\n          else\n            return null;\n        }, busySpinWait: function(msecs) {\n          var t = performance.now() + msecs;\n          while (performance.now() < t) {\n          }\n        } };\n        function establishStackSpace(stackTop, stackMax) {\n          _emscripten_stack_set_limits(stackTop, stackMax);\n          stackRestore(stackTop);\n        }\n        Module[\"establishStackSpace\"] = establishStackSpace;\n        function getNoExitRuntime() {\n          return noExitRuntime;\n        }\n        Module[\"getNoExitRuntime\"] = getNoExitRuntime;\n        function invokeEntryPoint(ptr, arg) {\n          return wasmTable.get(ptr)(arg);\n        }\n        Module[\"invokeEntryPoint\"] = invokeEntryPoint;\n        function ___assert_fail(condition, filename, line, func2) {\n          abort(\"Assertion failed: \" + UTF8ToString(condition) + \", at: \" + [filename ? UTF8ToString(filename) : \"unknown filename\", line, func2 ? UTF8ToString(func2) : \"unknown function\"]);\n        }\n        function ___call_main(argc, argv) {\n          var returnCode = _main(argc, argv);\n        }\n        var _emscripten_get_now;\n        if (ENVIRONMENT_IS_NODE) {\n          _emscripten_get_now = function() {\n            var t = process[\"hrtime\"]();\n            return t[0] * 1e3 + t[1] / 1e6;\n          };\n        } else if (ENVIRONMENT_IS_PTHREAD) {\n          _emscripten_get_now = function() {\n            return performance.now() - Module[\"__performance_now_clock_drift\"];\n          };\n        } else if (typeof dateNow !== \"undefined\") {\n          _emscripten_get_now = dateNow;\n        } else\n          _emscripten_get_now = function() {\n            return performance.now();\n          };\n        function setErrNo(value) {\n          GROWABLE_HEAP_I32()[___errno_location() >> 2] = value;\n          return value;\n        }\n        function _atexit(func2, arg) {\n          if (ENVIRONMENT_IS_PTHREAD)\n            return _emscripten_proxy_to_main_thread_js(1, 1, func2, arg);\n        }\n        function __emscripten_notify_thread_queue(targetThreadId, mainThreadId) {\n          if (targetThreadId == mainThreadId) {\n            postMessage({ \"cmd\": \"processQueuedMainThreadWork\" });\n          } else if (ENVIRONMENT_IS_PTHREAD) {\n            postMessage({ \"targetThread\": targetThreadId, \"cmd\": \"processThreadQueue\" });\n          } else {\n            var pthread = PThread.pthreads[targetThreadId];\n            var worker = pthread && pthread.worker;\n            if (!worker) {\n              return;\n            }\n            worker.postMessage({ \"cmd\": \"processThreadQueue\" });\n          }\n          return 1;\n        }\n        function _abort() {\n          abort();\n        }\n        function _emscripten_asm_const_int(code, sigPtr, argbuf) {\n          var args = readAsmConstArgs(sigPtr, argbuf);\n          return ASM_CONSTS[code].apply(null, args);\n        }\n        function _emscripten_conditional_set_current_thread_status(expectedStatus, newStatus) {\n        }\n        function _emscripten_futex_wait(addr, val, timeout) {\n          if (addr <= 0 || addr > GROWABLE_HEAP_I8().length || addr & true)\n            return -28;\n          if (!ENVIRONMENT_IS_WEB) {\n            var ret = Atomics.wait(GROWABLE_HEAP_I32(), addr >> 2, val, timeout);\n            if (ret === \"timed-out\")\n              return -73;\n            if (ret === \"not-equal\")\n              return -6;\n            if (ret === \"ok\")\n              return 0;\n            throw \"Atomics.wait returned an unexpected value \" + ret;\n          } else {\n            if (Atomics.load(GROWABLE_HEAP_I32(), addr >> 2) != val) {\n              return -6;\n            }\n            var tNow = performance.now();\n            var tEnd = tNow + timeout;\n            var lastAddr = Atomics.exchange(GROWABLE_HEAP_I32(), __emscripten_main_thread_futex >> 2, addr);\n            while (1) {\n              tNow = performance.now();\n              if (tNow > tEnd) {\n                lastAddr = Atomics.exchange(GROWABLE_HEAP_I32(), __emscripten_main_thread_futex >> 2, 0);\n                return -73;\n              }\n              lastAddr = Atomics.exchange(GROWABLE_HEAP_I32(), __emscripten_main_thread_futex >> 2, 0);\n              if (lastAddr == 0) {\n                break;\n              }\n              _emscripten_main_thread_process_queued_calls();\n              if (Atomics.load(GROWABLE_HEAP_I32(), addr >> 2) != val) {\n                return -6;\n              }\n              lastAddr = Atomics.exchange(GROWABLE_HEAP_I32(), __emscripten_main_thread_futex >> 2, addr);\n            }\n            return 0;\n          }\n        }\n        function _emscripten_memcpy_big(dest, src, num) {\n          GROWABLE_HEAP_U8().copyWithin(dest, src, src + num);\n        }\n        function _emscripten_num_logical_cores() {\n          if (ENVIRONMENT_IS_NODE)\n            return __require2(\"os\").cpus().length;\n          return navigator[\"hardwareConcurrency\"];\n        }\n        function _emscripten_proxy_to_main_thread_js(index, sync) {\n          var numCallArgs = arguments.length - 2;\n          var stack2 = stackSave();\n          var serializedNumCallArgs = numCallArgs;\n          var args = stackAlloc(serializedNumCallArgs * 8);\n          var b = args >> 3;\n          for (var i = 0; i < numCallArgs; i++) {\n            var arg = arguments[2 + i];\n            GROWABLE_HEAP_F64()[b + i] = arg;\n          }\n          var ret = _emscripten_run_in_main_runtime_thread_js(index, serializedNumCallArgs, args, sync);\n          stackRestore(stack2);\n          return ret;\n        }\n        var _emscripten_receive_on_main_thread_js_callArgs = [];\n        var readAsmConstArgsArray = [];\n        function readAsmConstArgs(sigPtr, buf) {\n          readAsmConstArgsArray.length = 0;\n          var ch;\n          buf >>= 2;\n          while (ch = GROWABLE_HEAP_U8()[sigPtr++]) {\n            var double = ch < 105;\n            if (double && buf & 1)\n              buf++;\n            readAsmConstArgsArray.push(double ? GROWABLE_HEAP_F64()[buf++ >> 1] : GROWABLE_HEAP_I32()[buf]);\n            ++buf;\n          }\n          return readAsmConstArgsArray;\n        }\n        function _emscripten_receive_on_main_thread_js(index, numCallArgs, args) {\n          _emscripten_receive_on_main_thread_js_callArgs.length = numCallArgs;\n          var b = args >> 3;\n          for (var i = 0; i < numCallArgs; i++) {\n            _emscripten_receive_on_main_thread_js_callArgs[i] = GROWABLE_HEAP_F64()[b + i];\n          }\n          var isEmAsmConst = index < 0;\n          var func2 = !isEmAsmConst ? proxiedFunctionTable[index] : ASM_CONSTS[-index - 1];\n          return func2.apply(null, _emscripten_receive_on_main_thread_js_callArgs);\n        }\n        function _emscripten_get_heap_size() {\n          return GROWABLE_HEAP_U8().length;\n        }\n        function emscripten_realloc_buffer(size) {\n          try {\n            wasmMemory.grow(size - buffer2.byteLength + 65535 >>> 16);\n            updateGlobalBufferAndViews(wasmMemory.buffer);\n            return 1;\n          } catch (e) {\n          }\n        }\n        function _emscripten_resize_heap(requestedSize) {\n          var oldSize = _emscripten_get_heap_size();\n          if (requestedSize <= oldSize) {\n            return false;\n          }\n          var maxHeapSize = 2147483648;\n          if (requestedSize > maxHeapSize) {\n            return false;\n          }\n          for (var cutDown = 1; cutDown <= 4; cutDown *= 2) {\n            var overGrownHeapSize = oldSize * (1 + 0.2 / cutDown);\n            overGrownHeapSize = Math.min(overGrownHeapSize, requestedSize + 100663296);\n            var newSize = Math.min(maxHeapSize, alignUp(Math.max(requestedSize, overGrownHeapSize), 65536));\n            var replacement = emscripten_realloc_buffer(newSize);\n            if (replacement) {\n              return true;\n            }\n          }\n          return false;\n        }\n        var JSEvents = { inEventHandler: 0, removeAllEventListeners: function() {\n          for (var i = JSEvents.eventHandlers.length - 1; i >= 0; --i) {\n            JSEvents._removeHandler(i);\n          }\n          JSEvents.eventHandlers = [];\n          JSEvents.deferredCalls = [];\n        }, registerRemoveEventListeners: function() {\n          if (!JSEvents.removeEventListenersRegistered) {\n            __ATEXIT__.push(JSEvents.removeAllEventListeners);\n            JSEvents.removeEventListenersRegistered = true;\n          }\n        }, deferredCalls: [], deferCall: function(targetFunction, precedence, argsList) {\n          function arraysHaveEqualContent(arrA, arrB) {\n            if (arrA.length != arrB.length)\n              return false;\n            for (var i2 in arrA) {\n              if (arrA[i2] != arrB[i2])\n                return false;\n            }\n            return true;\n          }\n          for (var i in JSEvents.deferredCalls) {\n            var call = JSEvents.deferredCalls[i];\n            if (call.targetFunction == targetFunction && arraysHaveEqualContent(call.argsList, argsList)) {\n              return;\n            }\n          }\n          JSEvents.deferredCalls.push({ targetFunction, precedence, argsList });\n          JSEvents.deferredCalls.sort(function(x, y) {\n            return x.precedence < y.precedence;\n          });\n        }, removeDeferredCalls: function(targetFunction) {\n          for (var i = 0; i < JSEvents.deferredCalls.length; ++i) {\n            if (JSEvents.deferredCalls[i].targetFunction == targetFunction) {\n              JSEvents.deferredCalls.splice(i, 1);\n              --i;\n            }\n          }\n        }, canPerformEventHandlerRequests: function() {\n          return JSEvents.inEventHandler && JSEvents.currentEventHandler.allowsDeferredCalls;\n        }, runDeferredCalls: function() {\n          if (!JSEvents.canPerformEventHandlerRequests()) {\n            return;\n          }\n          for (var i = 0; i < JSEvents.deferredCalls.length; ++i) {\n            var call = JSEvents.deferredCalls[i];\n            JSEvents.deferredCalls.splice(i, 1);\n            --i;\n            call.targetFunction.apply(null, call.argsList);\n          }\n        }, eventHandlers: [], removeAllHandlersOnTarget: function(target, eventTypeString) {\n          for (var i = 0; i < JSEvents.eventHandlers.length; ++i) {\n            if (JSEvents.eventHandlers[i].target == target && (!eventTypeString || eventTypeString == JSEvents.eventHandlers[i].eventTypeString)) {\n              JSEvents._removeHandler(i--);\n            }\n          }\n        }, _removeHandler: function(i) {\n          var h = JSEvents.eventHandlers[i];\n          h.target.removeEventListener(h.eventTypeString, h.eventListenerFunc, h.useCapture);\n          JSEvents.eventHandlers.splice(i, 1);\n        }, registerOrRemoveHandler: function(eventHandler) {\n          var jsEventHandler = function jsEventHandler2(event) {\n            ++JSEvents.inEventHandler;\n            JSEvents.currentEventHandler = eventHandler;\n            JSEvents.runDeferredCalls();\n            eventHandler.handlerFunc(event);\n            JSEvents.runDeferredCalls();\n            --JSEvents.inEventHandler;\n          };\n          if (eventHandler.callbackfunc) {\n            eventHandler.eventListenerFunc = jsEventHandler;\n            eventHandler.target.addEventListener(eventHandler.eventTypeString, jsEventHandler, eventHandler.useCapture);\n            JSEvents.eventHandlers.push(eventHandler);\n            JSEvents.registerRemoveEventListeners();\n          } else {\n            for (var i = 0; i < JSEvents.eventHandlers.length; ++i) {\n              if (JSEvents.eventHandlers[i].target == eventHandler.target && JSEvents.eventHandlers[i].eventTypeString == eventHandler.eventTypeString) {\n                JSEvents._removeHandler(i--);\n              }\n            }\n          }\n        }, queueEventHandlerOnThread_iiii: function(targetThread, eventHandlerFunc, eventTypeId, eventData, userData) {\n          var stackTop = stackSave();\n          var varargs = stackAlloc(12);\n          GROWABLE_HEAP_I32()[varargs >> 2] = eventTypeId;\n          GROWABLE_HEAP_I32()[varargs + 4 >> 2] = eventData;\n          GROWABLE_HEAP_I32()[varargs + 8 >> 2] = userData;\n          __emscripten_call_on_thread(0, targetThread, 637534208, eventHandlerFunc, eventData, varargs);\n          stackRestore(stackTop);\n        }, getTargetThreadForEventCallback: function(targetThread) {\n          switch (targetThread) {\n            case 1:\n              return 0;\n            case 2:\n              return PThread.currentProxiedOperationCallerThread;\n            default:\n              return targetThread;\n          }\n        }, getNodeNameForTarget: function(target) {\n          if (!target)\n            return \"\";\n          if (target == window)\n            return \"#window\";\n          if (target == screen)\n            return \"#screen\";\n          return target && target.nodeName ? target.nodeName : \"\";\n        }, fullscreenEnabled: function() {\n          return document.fullscreenEnabled || document.webkitFullscreenEnabled;\n        } };\n        function stringToNewUTF8(jsString) {\n          var length = lengthBytesUTF8(jsString) + 1;\n          var cString = _malloc(length);\n          stringToUTF8(jsString, cString, length);\n          return cString;\n        }\n        function _emscripten_set_offscreencanvas_size_on_target_thread_js(targetThread, targetCanvas, width, height) {\n          var stackTop = stackSave();\n          var varargs = stackAlloc(12);\n          var targetCanvasPtr = 0;\n          if (targetCanvas) {\n            targetCanvasPtr = stringToNewUTF8(targetCanvas);\n          }\n          GROWABLE_HEAP_I32()[varargs >> 2] = targetCanvasPtr;\n          GROWABLE_HEAP_I32()[varargs + 4 >> 2] = width;\n          GROWABLE_HEAP_I32()[varargs + 8 >> 2] = height;\n          __emscripten_call_on_thread(0, targetThread, 657457152, 0, targetCanvasPtr, varargs);\n          stackRestore(stackTop);\n        }\n        function _emscripten_set_offscreencanvas_size_on_target_thread(targetThread, targetCanvas, width, height) {\n          targetCanvas = targetCanvas ? UTF8ToString(targetCanvas) : \"\";\n          _emscripten_set_offscreencanvas_size_on_target_thread_js(targetThread, targetCanvas, width, height);\n        }\n        function maybeCStringToJsString(cString) {\n          return cString > 2 ? UTF8ToString(cString) : cString;\n        }\n        var specialHTMLTargets = [0, typeof document !== \"undefined\" ? document : 0, typeof window !== \"undefined\" ? window : 0];\n        function findEventTarget(target) {\n          target = maybeCStringToJsString(target);\n          var domElement = specialHTMLTargets[target] || (typeof document !== \"undefined\" ? document.querySelector(target) : void 0);\n          return domElement;\n        }\n        function findCanvasEventTarget(target) {\n          return findEventTarget(target);\n        }\n        function _emscripten_set_canvas_element_size_calling_thread(target, width, height) {\n          var canvas = findCanvasEventTarget(target);\n          if (!canvas)\n            return -4;\n          if (canvas.canvasSharedPtr) {\n            GROWABLE_HEAP_I32()[canvas.canvasSharedPtr >> 2] = width;\n            GROWABLE_HEAP_I32()[canvas.canvasSharedPtr + 4 >> 2] = height;\n          }\n          if (canvas.offscreenCanvas || !canvas.controlTransferredOffscreen) {\n            if (canvas.offscreenCanvas)\n              canvas = canvas.offscreenCanvas;\n            var autoResizeViewport = false;\n            if (canvas.GLctxObject && canvas.GLctxObject.GLctx) {\n              var prevViewport = canvas.GLctxObject.GLctx.getParameter(2978);\n              autoResizeViewport = prevViewport[0] === 0 && prevViewport[1] === 0 && prevViewport[2] === canvas.width && prevViewport[3] === canvas.height;\n            }\n            canvas.width = width;\n            canvas.height = height;\n            if (autoResizeViewport) {\n              canvas.GLctxObject.GLctx.viewport(0, 0, width, height);\n            }\n          } else if (canvas.canvasSharedPtr) {\n            var targetThread = GROWABLE_HEAP_I32()[canvas.canvasSharedPtr + 8 >> 2];\n            _emscripten_set_offscreencanvas_size_on_target_thread(targetThread, target, width, height);\n            return 1;\n          } else {\n            return -4;\n          }\n          return 0;\n        }\n        function _emscripten_set_canvas_element_size_main_thread(target, width, height) {\n          if (ENVIRONMENT_IS_PTHREAD)\n            return _emscripten_proxy_to_main_thread_js(2, 1, target, width, height);\n          return _emscripten_set_canvas_element_size_calling_thread(target, width, height);\n        }\n        function _emscripten_set_canvas_element_size(target, width, height) {\n          var canvas = findCanvasEventTarget(target);\n          if (canvas) {\n            return _emscripten_set_canvas_element_size_calling_thread(target, width, height);\n          } else {\n            return _emscripten_set_canvas_element_size_main_thread(target, width, height);\n          }\n        }\n        function _emscripten_set_current_thread_status(newStatus) {\n        }\n        function _emscripten_set_thread_name(threadId, name) {\n        }\n        function __webgl_enable_ANGLE_instanced_arrays(ctx) {\n          var ext = ctx.getExtension(\"ANGLE_instanced_arrays\");\n          if (ext) {\n            ctx[\"vertexAttribDivisor\"] = function(index, divisor) {\n              ext[\"vertexAttribDivisorANGLE\"](index, divisor);\n            };\n            ctx[\"drawArraysInstanced\"] = function(mode, first, count2, primcount) {\n              ext[\"drawArraysInstancedANGLE\"](mode, first, count2, primcount);\n            };\n            ctx[\"drawElementsInstanced\"] = function(mode, count2, type, indices, primcount) {\n              ext[\"drawElementsInstancedANGLE\"](mode, count2, type, indices, primcount);\n            };\n            return 1;\n          }\n        }\n        function __webgl_enable_OES_vertex_array_object(ctx) {\n          var ext = ctx.getExtension(\"OES_vertex_array_object\");\n          if (ext) {\n            ctx[\"createVertexArray\"] = function() {\n              return ext[\"createVertexArrayOES\"]();\n            };\n            ctx[\"deleteVertexArray\"] = function(vao) {\n              ext[\"deleteVertexArrayOES\"](vao);\n            };\n            ctx[\"bindVertexArray\"] = function(vao) {\n              ext[\"bindVertexArrayOES\"](vao);\n            };\n            ctx[\"isVertexArray\"] = function(vao) {\n              return ext[\"isVertexArrayOES\"](vao);\n            };\n            return 1;\n          }\n        }\n        function __webgl_enable_WEBGL_draw_buffers(ctx) {\n          var ext = ctx.getExtension(\"WEBGL_draw_buffers\");\n          if (ext) {\n            ctx[\"drawBuffers\"] = function(n, bufs) {\n              ext[\"drawBuffersWEBGL\"](n, bufs);\n            };\n            return 1;\n          }\n        }\n        function __webgl_enable_WEBGL_multi_draw(ctx) {\n          return !!(ctx.multiDrawWebgl = ctx.getExtension(\"WEBGL_multi_draw\"));\n        }\n        var GL = { counter: 1, buffers: [], programs: [], framebuffers: [], renderbuffers: [], textures: [], uniforms: [], shaders: [], vaos: [], contexts: {}, offscreenCanvases: {}, timerQueriesEXT: [], programInfos: {}, stringCache: {}, unpackAlignment: 4, recordError: function recordError(errorCode) {\n          if (!GL.lastError) {\n            GL.lastError = errorCode;\n          }\n        }, getNewId: function(table) {\n          var ret = GL.counter++;\n          for (var i = table.length; i < ret; i++) {\n            table[i] = null;\n          }\n          return ret;\n        }, getSource: function(shader, count2, string3, length) {\n          var source = \"\";\n          for (var i = 0; i < count2; ++i) {\n            var len = length ? GROWABLE_HEAP_I32()[length + i * 4 >> 2] : -1;\n            source += UTF8ToString(GROWABLE_HEAP_I32()[string3 + i * 4 >> 2], len < 0 ? void 0 : len);\n          }\n          return source;\n        }, createContext: function(canvas, webGLContextAttributes) {\n          var ctx = canvas.getContext(\"webgl\", webGLContextAttributes);\n          if (!ctx)\n            return 0;\n          var handle = GL.registerContext(ctx, webGLContextAttributes);\n          return handle;\n        }, registerContext: function(ctx, webGLContextAttributes) {\n          var handle = _malloc(8);\n          GROWABLE_HEAP_I32()[handle + 4 >> 2] = _pthread_self();\n          var context = { handle, attributes: webGLContextAttributes, version: webGLContextAttributes.majorVersion, GLctx: ctx };\n          if (ctx.canvas)\n            ctx.canvas.GLctxObject = context;\n          GL.contexts[handle] = context;\n          if (typeof webGLContextAttributes.enableExtensionsByDefault === \"undefined\" || webGLContextAttributes.enableExtensionsByDefault) {\n            GL.initExtensions(context);\n          }\n          return handle;\n        }, makeContextCurrent: function(contextHandle) {\n          GL.currentContext = GL.contexts[contextHandle];\n          Module.ctx = GLctx = GL.currentContext && GL.currentContext.GLctx;\n          return !(contextHandle && !GLctx);\n        }, getContext: function(contextHandle) {\n          return GL.contexts[contextHandle];\n        }, deleteContext: function(contextHandle) {\n          if (GL.currentContext === GL.contexts[contextHandle])\n            GL.currentContext = null;\n          if (typeof JSEvents === \"object\")\n            JSEvents.removeAllHandlersOnTarget(GL.contexts[contextHandle].GLctx.canvas);\n          if (GL.contexts[contextHandle] && GL.contexts[contextHandle].GLctx.canvas)\n            GL.contexts[contextHandle].GLctx.canvas.GLctxObject = void 0;\n          _free(GL.contexts[contextHandle].handle);\n          GL.contexts[contextHandle] = null;\n        }, initExtensions: function(context) {\n          if (!context)\n            context = GL.currentContext;\n          if (context.initExtensionsDone)\n            return;\n          context.initExtensionsDone = true;\n          var GLctx2 = context.GLctx;\n          __webgl_enable_ANGLE_instanced_arrays(GLctx2);\n          __webgl_enable_OES_vertex_array_object(GLctx2);\n          __webgl_enable_WEBGL_draw_buffers(GLctx2);\n          GLctx2.disjointTimerQueryExt = GLctx2.getExtension(\"EXT_disjoint_timer_query\");\n          __webgl_enable_WEBGL_multi_draw(GLctx2);\n          var exts = GLctx2.getSupportedExtensions() || [];\n          exts.forEach(function(ext) {\n            if (ext.indexOf(\"lose_context\") < 0 && ext.indexOf(\"debug\") < 0) {\n              GLctx2.getExtension(ext);\n            }\n          });\n        }, populateUniformTable: function(program) {\n          var p2 = GL.programs[program];\n          var ptable = GL.programInfos[program] = { uniforms: {}, maxUniformLength: 0, maxAttributeLength: -1, maxUniformBlockNameLength: -1 };\n          var utable = ptable.uniforms;\n          var numUniforms = GLctx.getProgramParameter(p2, 35718);\n          for (var i = 0; i < numUniforms; ++i) {\n            var u = GLctx.getActiveUniform(p2, i);\n            var name = u.name;\n            ptable.maxUniformLength = Math.max(ptable.maxUniformLength, name.length + 1);\n            if (name.slice(-1) == \"]\") {\n              name = name.slice(0, name.lastIndexOf(\"[\"));\n            }\n            var loc = GLctx.getUniformLocation(p2, name);\n            if (loc) {\n              var id = GL.getNewId(GL.uniforms);\n              utable[name] = [u.size, id];\n              GL.uniforms[id] = loc;\n              for (var j = 1; j < u.size; ++j) {\n                var n = name + \"[\" + j + \"]\";\n                loc = GLctx.getUniformLocation(p2, n);\n                id = GL.getNewId(GL.uniforms);\n                GL.uniforms[id] = loc;\n              }\n            }\n          }\n        } };\n        var __emscripten_webgl_power_preferences = [\"default\", \"low-power\", \"high-performance\"];\n        function _emscripten_webgl_do_create_context(target, attributes) {\n          var a = attributes >> 2;\n          var powerPreference = GROWABLE_HEAP_I32()[a + (24 >> 2)];\n          var contextAttributes = { \"alpha\": !!GROWABLE_HEAP_I32()[a + (0 >> 2)], \"depth\": !!GROWABLE_HEAP_I32()[a + (4 >> 2)], \"stencil\": !!GROWABLE_HEAP_I32()[a + (8 >> 2)], \"antialias\": !!GROWABLE_HEAP_I32()[a + (12 >> 2)], \"premultipliedAlpha\": !!GROWABLE_HEAP_I32()[a + (16 >> 2)], \"preserveDrawingBuffer\": !!GROWABLE_HEAP_I32()[a + (20 >> 2)], \"powerPreference\": __emscripten_webgl_power_preferences[powerPreference], \"failIfMajorPerformanceCaveat\": !!GROWABLE_HEAP_I32()[a + (28 >> 2)], majorVersion: GROWABLE_HEAP_I32()[a + (32 >> 2)], minorVersion: GROWABLE_HEAP_I32()[a + (36 >> 2)], enableExtensionsByDefault: GROWABLE_HEAP_I32()[a + (40 >> 2)], explicitSwapControl: GROWABLE_HEAP_I32()[a + (44 >> 2)], proxyContextToMainThread: GROWABLE_HEAP_I32()[a + (48 >> 2)], renderViaOffscreenBackBuffer: GROWABLE_HEAP_I32()[a + (52 >> 2)] };\n          var canvas = findCanvasEventTarget(target);\n          if (!canvas) {\n            return 0;\n          }\n          if (contextAttributes.explicitSwapControl) {\n            return 0;\n          }\n          var contextHandle = GL.createContext(canvas, contextAttributes);\n          return contextHandle;\n        }\n        function _emscripten_webgl_create_context(a0, a12) {\n          return _emscripten_webgl_do_create_context(a0, a12);\n        }\n        var SYSCALLS = { mappings: {}, buffers: [null, [], []], printChar: function(stream, curr) {\n          var buffer3 = SYSCALLS.buffers[stream];\n          if (curr === 0 || curr === 10) {\n            (stream === 1 ? out : err)(UTF8ArrayToString(buffer3, 0));\n            buffer3.length = 0;\n          } else {\n            buffer3.push(curr);\n          }\n        }, varargs: void 0, get: function() {\n          SYSCALLS.varargs += 4;\n          var ret = GROWABLE_HEAP_I32()[SYSCALLS.varargs - 4 >> 2];\n          return ret;\n        }, getStr: function(ptr) {\n          var ret = UTF8ToString(ptr);\n          return ret;\n        }, get64: function(low, high) {\n          return low;\n        } };\n        function _fd_close(fd) {\n          if (ENVIRONMENT_IS_PTHREAD)\n            return _emscripten_proxy_to_main_thread_js(3, 1, fd);\n          return 0;\n        }\n        function _fd_seek(fd, offset_low, offset_high, whence, newOffset) {\n          if (ENVIRONMENT_IS_PTHREAD)\n            return _emscripten_proxy_to_main_thread_js(4, 1, fd, offset_low, offset_high, whence, newOffset);\n        }\n        function _fd_write(fd, iov, iovcnt, pnum) {\n          if (ENVIRONMENT_IS_PTHREAD)\n            return _emscripten_proxy_to_main_thread_js(5, 1, fd, iov, iovcnt, pnum);\n          var num = 0;\n          for (var i = 0; i < iovcnt; i++) {\n            var ptr = GROWABLE_HEAP_I32()[iov + i * 8 >> 2];\n            var len = GROWABLE_HEAP_I32()[iov + (i * 8 + 4) >> 2];\n            for (var j = 0; j < len; j++) {\n              SYSCALLS.printChar(fd, GROWABLE_HEAP_U8()[ptr + j]);\n            }\n            num += len;\n          }\n          GROWABLE_HEAP_I32()[pnum >> 2] = num;\n          return 0;\n        }\n        function _pthread_cleanup_pop(execute2) {\n          var routine = PThread.threadExitHandlers.pop();\n          if (execute2)\n            routine();\n        }\n        function _pthread_cleanup_push(routine, arg) {\n          PThread.threadExitHandlers.push(function() {\n            wasmTable.get(routine)(arg);\n          });\n        }\n        function spawnThread(threadParams) {\n          if (ENVIRONMENT_IS_PTHREAD)\n            throw \"Internal Error! spawnThread() can only ever be called from main application thread!\";\n          var worker = PThread.getNewWorker();\n          if (worker.pthread !== void 0)\n            throw \"Internal error!\";\n          if (!threadParams.pthread_ptr)\n            throw \"Internal error, no pthread ptr!\";\n          PThread.runningWorkers.push(worker);\n          var tlsMemory = _malloc(128 * 4);\n          for (var i = 0; i < 128; ++i) {\n            GROWABLE_HEAP_I32()[tlsMemory + i * 4 >> 2] = 0;\n          }\n          var stackHigh = threadParams.stackBase + threadParams.stackSize;\n          var pthread = PThread.pthreads[threadParams.pthread_ptr] = { worker, stackBase: threadParams.stackBase, stackSize: threadParams.stackSize, allocatedOwnStack: threadParams.allocatedOwnStack, threadInfoStruct: threadParams.pthread_ptr };\n          var tis = pthread.threadInfoStruct >> 2;\n          Atomics.store(GROWABLE_HEAP_U32(), tis + (64 >> 2), threadParams.detached);\n          Atomics.store(GROWABLE_HEAP_U32(), tis + (100 >> 2), tlsMemory);\n          Atomics.store(GROWABLE_HEAP_U32(), tis + (40 >> 2), pthread.threadInfoStruct);\n          Atomics.store(GROWABLE_HEAP_U32(), tis + (80 >> 2), threadParams.stackSize);\n          Atomics.store(GROWABLE_HEAP_U32(), tis + (76 >> 2), stackHigh);\n          Atomics.store(GROWABLE_HEAP_U32(), tis + (104 >> 2), threadParams.stackSize);\n          Atomics.store(GROWABLE_HEAP_U32(), tis + (104 + 8 >> 2), stackHigh);\n          Atomics.store(GROWABLE_HEAP_U32(), tis + (104 + 12 >> 2), threadParams.detached);\n          var global_libc = _emscripten_get_global_libc();\n          var global_locale = global_libc + 40;\n          Atomics.store(GROWABLE_HEAP_U32(), tis + (172 >> 2), global_locale);\n          worker.pthread = pthread;\n          var msg = { \"cmd\": \"run\", \"start_routine\": threadParams.startRoutine, \"arg\": threadParams.arg, \"threadInfoStruct\": threadParams.pthread_ptr, \"stackBase\": threadParams.stackBase, \"stackSize\": threadParams.stackSize };\n          worker.runPthread = function() {\n            msg.time = performance.now();\n            worker.postMessage(msg, threadParams.transferList);\n          };\n          if (worker.loaded) {\n            worker.runPthread();\n            delete worker.runPthread;\n          }\n        }\n        function _pthread_create(pthread_ptr, attr, start_routine, arg) {\n          if (typeof SharedArrayBuffer === \"undefined\") {\n            err(\"Current environment does not support SharedArrayBuffer, pthreads are not available!\");\n            return 6;\n          }\n          if (!pthread_ptr) {\n            err(\"pthread_create called with a null thread pointer!\");\n            return 28;\n          }\n          var transferList = [];\n          var error = 0;\n          if (ENVIRONMENT_IS_PTHREAD && (transferList.length === 0 || error)) {\n            return _emscripten_sync_run_in_main_thread_4(687865856, pthread_ptr, attr, start_routine, arg);\n          }\n          if (error)\n            return error;\n          var stackSize = 0;\n          var stackBase = 0;\n          var detached = 0;\n          if (attr && attr != -1) {\n            stackSize = GROWABLE_HEAP_I32()[attr >> 2];\n            stackSize += 81920;\n            stackBase = GROWABLE_HEAP_I32()[attr + 8 >> 2];\n            detached = GROWABLE_HEAP_I32()[attr + 12 >> 2] !== 0;\n          } else {\n            stackSize = 2097152;\n          }\n          var allocatedOwnStack = stackBase == 0;\n          if (allocatedOwnStack) {\n            stackBase = _memalign(16, stackSize);\n          } else {\n            stackBase -= stackSize;\n            assert3(stackBase > 0);\n          }\n          var threadInfoStruct = _malloc(228);\n          for (var i = 0; i < 228 >> 2; ++i)\n            GROWABLE_HEAP_U32()[(threadInfoStruct >> 2) + i] = 0;\n          GROWABLE_HEAP_I32()[pthread_ptr >> 2] = threadInfoStruct;\n          GROWABLE_HEAP_I32()[threadInfoStruct + 12 >> 2] = threadInfoStruct;\n          var headPtr = threadInfoStruct + 152;\n          GROWABLE_HEAP_I32()[headPtr >> 2] = headPtr;\n          var threadParams = { stackBase, stackSize, allocatedOwnStack, detached, startRoutine: start_routine, pthread_ptr: threadInfoStruct, arg, transferList };\n          if (ENVIRONMENT_IS_PTHREAD) {\n            threadParams.cmd = \"spawnThread\";\n            postMessage(threadParams, transferList);\n          } else {\n            spawnThread(threadParams);\n          }\n          return 0;\n        }\n        function __pthread_testcancel_js() {\n          if (!ENVIRONMENT_IS_PTHREAD)\n            return;\n          var tb = _pthread_self();\n          if (!tb)\n            return;\n          var cancelDisabled = Atomics.load(GROWABLE_HEAP_U32(), tb + 56 >> 2);\n          if (cancelDisabled)\n            return;\n          var canceled = Atomics.load(GROWABLE_HEAP_U32(), tb + 0 >> 2);\n          if (canceled == 2)\n            throw \"Canceled!\";\n        }\n        function _emscripten_check_blocking_allowed() {\n          if (ENVIRONMENT_IS_NODE)\n            return;\n          if (ENVIRONMENT_IS_WORKER)\n            return;\n          warnOnce(\"Blocking on the main thread is very dangerous, see https://emscripten.org/docs/porting/pthreads.html#blocking-on-the-main-browser-thread\");\n        }\n        function __emscripten_do_pthread_join(thread, status, block) {\n          if (!thread) {\n            err(\"pthread_join attempted on a null thread pointer!\");\n            return ERRNO_CODES.ESRCH;\n          }\n          if (ENVIRONMENT_IS_PTHREAD && _pthread_self() == thread) {\n            err(\"PThread \" + thread + \" is attempting to join to itself!\");\n            return ERRNO_CODES.EDEADLK;\n          } else if (!ENVIRONMENT_IS_PTHREAD && _emscripten_main_browser_thread_id() == thread) {\n            err(\"Main thread \" + thread + \" is attempting to join to itself!\");\n            return ERRNO_CODES.EDEADLK;\n          }\n          var self2 = GROWABLE_HEAP_I32()[thread + 12 >> 2];\n          if (self2 !== thread) {\n            err(\"pthread_join attempted on thread \" + thread + \", which does not point to a valid thread, or does not exist anymore!\");\n            return ERRNO_CODES.ESRCH;\n          }\n          var detached = Atomics.load(GROWABLE_HEAP_U32(), thread + 64 >> 2);\n          if (detached) {\n            err(\"Attempted to join thread \" + thread + \", which was already detached!\");\n            return ERRNO_CODES.EINVAL;\n          }\n          if (block) {\n            _emscripten_check_blocking_allowed();\n          }\n          for (; ; ) {\n            var threadStatus = Atomics.load(GROWABLE_HEAP_U32(), thread + 0 >> 2);\n            if (threadStatus == 1) {\n              var threadExitCode = Atomics.load(GROWABLE_HEAP_U32(), thread + 4 >> 2);\n              if (status)\n                GROWABLE_HEAP_I32()[status >> 2] = threadExitCode;\n              Atomics.store(GROWABLE_HEAP_U32(), thread + 64 >> 2, 1);\n              if (!ENVIRONMENT_IS_PTHREAD)\n                cleanupThread(thread);\n              else\n                postMessage({ \"cmd\": \"cleanupThread\", \"thread\": thread });\n              return 0;\n            }\n            if (!block) {\n              return ERRNO_CODES.EBUSY;\n            }\n            __pthread_testcancel_js();\n            if (!ENVIRONMENT_IS_PTHREAD)\n              _emscripten_main_thread_process_queued_calls();\n            _emscripten_futex_wait(thread + 0, threadStatus, ENVIRONMENT_IS_PTHREAD ? 100 : 1);\n          }\n        }\n        function _pthread_join(thread, status) {\n          return __emscripten_do_pthread_join(thread, status, true);\n        }\n        function _sysconf(name) {\n          if (ENVIRONMENT_IS_PTHREAD)\n            return _emscripten_proxy_to_main_thread_js(6, 1, name);\n          switch (name) {\n            case 30:\n              return 16384;\n            case 85:\n              var maxHeapSize = 2147483648;\n              return maxHeapSize / 16384;\n            case 132:\n            case 133:\n            case 12:\n            case 137:\n            case 138:\n            case 15:\n            case 235:\n            case 16:\n            case 17:\n            case 18:\n            case 19:\n            case 20:\n            case 149:\n            case 13:\n            case 10:\n            case 236:\n            case 153:\n            case 9:\n            case 21:\n            case 22:\n            case 159:\n            case 154:\n            case 14:\n            case 77:\n            case 78:\n            case 139:\n            case 82:\n            case 68:\n            case 67:\n            case 164:\n            case 11:\n            case 29:\n            case 47:\n            case 48:\n            case 95:\n            case 52:\n            case 51:\n            case 46:\n              return 200809;\n            case 27:\n            case 246:\n            case 127:\n            case 128:\n            case 23:\n            case 24:\n            case 160:\n            case 161:\n            case 181:\n            case 182:\n            case 242:\n            case 183:\n            case 184:\n            case 243:\n            case 244:\n            case 245:\n            case 165:\n            case 178:\n            case 179:\n            case 49:\n            case 50:\n            case 168:\n            case 169:\n            case 175:\n            case 170:\n            case 171:\n            case 172:\n            case 97:\n            case 76:\n            case 32:\n            case 173:\n            case 35:\n            case 80:\n            case 81:\n            case 79:\n              return -1;\n            case 176:\n            case 177:\n            case 7:\n            case 155:\n            case 8:\n            case 157:\n            case 125:\n            case 126:\n            case 92:\n            case 93:\n            case 129:\n            case 130:\n            case 131:\n            case 94:\n            case 91:\n              return 1;\n            case 74:\n            case 60:\n            case 69:\n            case 70:\n            case 4:\n              return 1024;\n            case 31:\n            case 42:\n            case 72:\n              return 32;\n            case 87:\n            case 26:\n            case 33:\n              return 2147483647;\n            case 34:\n            case 1:\n              return 47839;\n            case 38:\n            case 36:\n              return 99;\n            case 43:\n            case 37:\n              return 2048;\n            case 0:\n              return 2097152;\n            case 3:\n              return 65536;\n            case 28:\n              return 32768;\n            case 44:\n              return 32767;\n            case 75:\n              return 16384;\n            case 39:\n              return 1e3;\n            case 89:\n              return 700;\n            case 71:\n              return 256;\n            case 40:\n              return 255;\n            case 2:\n              return 100;\n            case 180:\n              return 64;\n            case 25:\n              return 20;\n            case 5:\n              return 16;\n            case 6:\n              return 6;\n            case 73:\n              return 4;\n            case 84: {\n              if (typeof navigator === \"object\")\n                return navigator[\"hardwareConcurrency\"] || 1;\n              return 1;\n            }\n          }\n          setErrNo(28);\n          return -1;\n        }\n        if (!ENVIRONMENT_IS_PTHREAD)\n          PThread.initMainThreadBlock();\n        var GLctx;\n        var proxiedFunctionTable = [null, _atexit, _emscripten_set_canvas_element_size_main_thread, _fd_close, _fd_seek, _fd_write, _sysconf];\n        var asmLibraryArg = { \"e\": ___assert_fail, \"r\": ___call_main, \"x\": __emscripten_notify_thread_queue, \"b\": _abort, \"y\": _emscripten_asm_const_int, \"j\": _emscripten_conditional_set_current_thread_status, \"d\": _emscripten_futex_wait, \"c\": _emscripten_futex_wake, \"f\": _emscripten_get_now, \"p\": _emscripten_memcpy_big, \"A\": _emscripten_num_logical_cores, \"u\": _emscripten_receive_on_main_thread_js, \"q\": _emscripten_resize_heap, \"v\": _emscripten_set_canvas_element_size, \"i\": _emscripten_set_current_thread_status, \"s\": _emscripten_set_thread_name, \"w\": _emscripten_webgl_create_context, \"l\": _fd_close, \"n\": _fd_seek, \"g\": _fd_write, \"o\": initPthreadsJS, \"a\": wasmMemory || Module[\"wasmMemory\"], \"z\": _pthread_cleanup_pop, \"k\": _pthread_cleanup_push, \"h\": _pthread_create, \"m\": _pthread_join, \"t\": _sysconf };\n        var asm = createWasm();\n        var ___wasm_call_ctors = Module[\"___wasm_call_ctors\"] = function() {\n          return (___wasm_call_ctors = Module[\"___wasm_call_ctors\"] = Module[\"asm\"][\"B\"]).apply(null, arguments);\n        };\n        var _init = Module[\"_init\"] = function() {\n          return (_init = Module[\"_init\"] = Module[\"asm\"][\"C\"]).apply(null, arguments);\n        };\n        var _init_with_threads_count = Module[\"_init_with_threads_count\"] = function() {\n          return (_init_with_threads_count = Module[\"_init_with_threads_count\"] = Module[\"asm\"][\"D\"]).apply(null, arguments);\n        };\n        var _get_threads_count = Module[\"_get_threads_count\"] = function() {\n          return (_get_threads_count = Module[\"_get_threads_count\"] = Module[\"asm\"][\"E\"]).apply(null, arguments);\n        };\n        var _register_tensor = Module[\"_register_tensor\"] = function() {\n          return (_register_tensor = Module[\"_register_tensor\"] = Module[\"asm\"][\"F\"]).apply(null, arguments);\n        };\n        var _dispose_data = Module[\"_dispose_data\"] = function() {\n          return (_dispose_data = Module[\"_dispose_data\"] = Module[\"asm\"][\"G\"]).apply(null, arguments);\n        };\n        var _dispose = Module[\"_dispose\"] = function() {\n          return (_dispose = Module[\"_dispose\"] = Module[\"asm\"][\"H\"]).apply(null, arguments);\n        };\n        var _Abs = Module[\"_Abs\"] = function() {\n          return (_Abs = Module[\"_Abs\"] = Module[\"asm\"][\"I\"]).apply(null, arguments);\n        };\n        var _Add = Module[\"_Add\"] = function() {\n          return (_Add = Module[\"_Add\"] = Module[\"asm\"][\"J\"]).apply(null, arguments);\n        };\n        var _AddN = Module[\"_AddN\"] = function() {\n          return (_AddN = Module[\"_AddN\"] = Module[\"asm\"][\"K\"]).apply(null, arguments);\n        };\n        var _All = Module[\"_All\"] = function() {\n          return (_All = Module[\"_All\"] = Module[\"asm\"][\"L\"]).apply(null, arguments);\n        };\n        var _Any = Module[\"_Any\"] = function() {\n          return (_Any = Module[\"_Any\"] = Module[\"asm\"][\"M\"]).apply(null, arguments);\n        };\n        var _ArgMax = Module[\"_ArgMax\"] = function() {\n          return (_ArgMax = Module[\"_ArgMax\"] = Module[\"asm\"][\"N\"]).apply(null, arguments);\n        };\n        var _AvgPool = Module[\"_AvgPool\"] = function() {\n          return (_AvgPool = Module[\"_AvgPool\"] = Module[\"asm\"][\"O\"]).apply(null, arguments);\n        };\n        var _BatchMatMul = Module[\"_BatchMatMul\"] = function() {\n          return (_BatchMatMul = Module[\"_BatchMatMul\"] = Module[\"asm\"][\"P\"]).apply(null, arguments);\n        };\n        var _Ceil = Module[\"_Ceil\"] = function() {\n          return (_Ceil = Module[\"_Ceil\"] = Module[\"asm\"][\"Q\"]).apply(null, arguments);\n        };\n        var _ClipByValue = Module[\"_ClipByValue\"] = function() {\n          return (_ClipByValue = Module[\"_ClipByValue\"] = Module[\"asm\"][\"R\"]).apply(null, arguments);\n        };\n        var _Conv2D2 = Module[\"_Conv2D\"] = function() {\n          return (_Conv2D2 = Module[\"_Conv2D\"] = Module[\"asm\"][\"S\"]).apply(null, arguments);\n        };\n        var _Conv2DBackpropInput = Module[\"_Conv2DBackpropInput\"] = function() {\n          return (_Conv2DBackpropInput = Module[\"_Conv2DBackpropInput\"] = Module[\"asm\"][\"T\"]).apply(null, arguments);\n        };\n        var _Cos = Module[\"_Cos\"] = function() {\n          return (_Cos = Module[\"_Cos\"] = Module[\"asm\"][\"U\"]).apply(null, arguments);\n        };\n        var _Cosh = Module[\"_Cosh\"] = function() {\n          return (_Cosh = Module[\"_Cosh\"] = Module[\"asm\"][\"V\"]).apply(null, arguments);\n        };\n        var _CropAndResize = Module[\"_CropAndResize\"] = function() {\n          return (_CropAndResize = Module[\"_CropAndResize\"] = Module[\"asm\"][\"W\"]).apply(null, arguments);\n        };\n        var _Cumsum = Module[\"_Cumsum\"] = function() {\n          return (_Cumsum = Module[\"_Cumsum\"] = Module[\"asm\"][\"X\"]).apply(null, arguments);\n        };\n        var _DepthToSpace = Module[\"_DepthToSpace\"] = function() {\n          return (_DepthToSpace = Module[\"_DepthToSpace\"] = Module[\"asm\"][\"Y\"]).apply(null, arguments);\n        };\n        var _DepthwiseConv2dNative = Module[\"_DepthwiseConv2dNative\"] = function() {\n          return (_DepthwiseConv2dNative = Module[\"_DepthwiseConv2dNative\"] = Module[\"asm\"][\"Z\"]).apply(null, arguments);\n        };\n        var _Elu = Module[\"_Elu\"] = function() {\n          return (_Elu = Module[\"_Elu\"] = Module[\"asm\"][\"_\"]).apply(null, arguments);\n        };\n        var _Equal = Module[\"_Equal\"] = function() {\n          return (_Equal = Module[\"_Equal\"] = Module[\"asm\"][\"$\"]).apply(null, arguments);\n        };\n        var _Exp = Module[\"_Exp\"] = function() {\n          return (_Exp = Module[\"_Exp\"] = Module[\"asm\"][\"aa\"]).apply(null, arguments);\n        };\n        var _FlipLeftRight = Module[\"_FlipLeftRight\"] = function() {\n          return (_FlipLeftRight = Module[\"_FlipLeftRight\"] = Module[\"asm\"][\"ba\"]).apply(null, arguments);\n        };\n        var _Floor = Module[\"_Floor\"] = function() {\n          return (_Floor = Module[\"_Floor\"] = Module[\"asm\"][\"ca\"]).apply(null, arguments);\n        };\n        var _FloorDiv = Module[\"_FloorDiv\"] = function() {\n          return (_FloorDiv = Module[\"_FloorDiv\"] = Module[\"asm\"][\"da\"]).apply(null, arguments);\n        };\n        var _FusedBatchNorm = Module[\"_FusedBatchNorm\"] = function() {\n          return (_FusedBatchNorm = Module[\"_FusedBatchNorm\"] = Module[\"asm\"][\"ea\"]).apply(null, arguments);\n        };\n        var _FusedConv2D = Module[\"_FusedConv2D\"] = function() {\n          return (_FusedConv2D = Module[\"_FusedConv2D\"] = Module[\"asm\"][\"fa\"]).apply(null, arguments);\n        };\n        var _FusedDepthwiseConv2D = Module[\"_FusedDepthwiseConv2D\"] = function() {\n          return (_FusedDepthwiseConv2D = Module[\"_FusedDepthwiseConv2D\"] = Module[\"asm\"][\"ga\"]).apply(null, arguments);\n        };\n        var _Gather = Module[\"_Gather\"] = function() {\n          return (_Gather = Module[\"_Gather\"] = Module[\"asm\"][\"ha\"]).apply(null, arguments);\n        };\n        var _GatherNd = Module[\"_GatherNd\"] = function() {\n          return (_GatherNd = Module[\"_GatherNd\"] = Module[\"asm\"][\"ia\"]).apply(null, arguments);\n        };\n        var _Greater = Module[\"_Greater\"] = function() {\n          return (_Greater = Module[\"_Greater\"] = Module[\"asm\"][\"ja\"]).apply(null, arguments);\n        };\n        var _GreaterEqual = Module[\"_GreaterEqual\"] = function() {\n          return (_GreaterEqual = Module[\"_GreaterEqual\"] = Module[\"asm\"][\"ka\"]).apply(null, arguments);\n        };\n        var _LeakyRelu = Module[\"_LeakyRelu\"] = function() {\n          return (_LeakyRelu = Module[\"_LeakyRelu\"] = Module[\"asm\"][\"la\"]).apply(null, arguments);\n        };\n        var _Less = Module[\"_Less\"] = function() {\n          return (_Less = Module[\"_Less\"] = Module[\"asm\"][\"ma\"]).apply(null, arguments);\n        };\n        var _LessEqual = Module[\"_LessEqual\"] = function() {\n          return (_LessEqual = Module[\"_LessEqual\"] = Module[\"asm\"][\"na\"]).apply(null, arguments);\n        };\n        var _Log = Module[\"_Log\"] = function() {\n          return (_Log = Module[\"_Log\"] = Module[\"asm\"][\"oa\"]).apply(null, arguments);\n        };\n        var _LogicalAnd = Module[\"_LogicalAnd\"] = function() {\n          return (_LogicalAnd = Module[\"_LogicalAnd\"] = Module[\"asm\"][\"pa\"]).apply(null, arguments);\n        };\n        var _Max = Module[\"_Max\"] = function() {\n          return (_Max = Module[\"_Max\"] = Module[\"asm\"][\"qa\"]).apply(null, arguments);\n        };\n        var _MaxPool = Module[\"_MaxPool\"] = function() {\n          return (_MaxPool = Module[\"_MaxPool\"] = Module[\"asm\"][\"ra\"]).apply(null, arguments);\n        };\n        var _Maximum = Module[\"_Maximum\"] = function() {\n          return (_Maximum = Module[\"_Maximum\"] = Module[\"asm\"][\"sa\"]).apply(null, arguments);\n        };\n        var _Mean = Module[\"_Mean\"] = function() {\n          return (_Mean = Module[\"_Mean\"] = Module[\"asm\"][\"ta\"]).apply(null, arguments);\n        };\n        var _Min = Module[\"_Min\"] = function() {\n          return (_Min = Module[\"_Min\"] = Module[\"asm\"][\"ua\"]).apply(null, arguments);\n        };\n        var _Minimum = Module[\"_Minimum\"] = function() {\n          return (_Minimum = Module[\"_Minimum\"] = Module[\"asm\"][\"va\"]).apply(null, arguments);\n        };\n        var _MirrorPad = Module[\"_MirrorPad\"] = function() {\n          return (_MirrorPad = Module[\"_MirrorPad\"] = Module[\"asm\"][\"wa\"]).apply(null, arguments);\n        };\n        var _Multiply = Module[\"_Multiply\"] = function() {\n          return (_Multiply = Module[\"_Multiply\"] = Module[\"asm\"][\"xa\"]).apply(null, arguments);\n        };\n        var _Neg = Module[\"_Neg\"] = function() {\n          return (_Neg = Module[\"_Neg\"] = Module[\"asm\"][\"ya\"]).apply(null, arguments);\n        };\n        var _NonMaxSuppressionV3 = Module[\"_NonMaxSuppressionV3\"] = function() {\n          return (_NonMaxSuppressionV3 = Module[\"_NonMaxSuppressionV3\"] = Module[\"asm\"][\"za\"]).apply(null, arguments);\n        };\n        var _NonMaxSuppressionV4 = Module[\"_NonMaxSuppressionV4\"] = function() {\n          return (_NonMaxSuppressionV4 = Module[\"_NonMaxSuppressionV4\"] = Module[\"asm\"][\"Aa\"]).apply(null, arguments);\n        };\n        var _NonMaxSuppressionV5 = Module[\"_NonMaxSuppressionV5\"] = function() {\n          return (_NonMaxSuppressionV5 = Module[\"_NonMaxSuppressionV5\"] = Module[\"asm\"][\"Ba\"]).apply(null, arguments);\n        };\n        var _NotEqual = Module[\"_NotEqual\"] = function() {\n          return (_NotEqual = Module[\"_NotEqual\"] = Module[\"asm\"][\"Ca\"]).apply(null, arguments);\n        };\n        var _OneHot = Module[\"_OneHot\"] = function() {\n          return (_OneHot = Module[\"_OneHot\"] = Module[\"asm\"][\"Da\"]).apply(null, arguments);\n        };\n        var _PadV2 = Module[\"_PadV2\"] = function() {\n          return (_PadV2 = Module[\"_PadV2\"] = Module[\"asm\"][\"Ea\"]).apply(null, arguments);\n        };\n        var _Pow = Module[\"_Pow\"] = function() {\n          return (_Pow = Module[\"_Pow\"] = Module[\"asm\"][\"Fa\"]).apply(null, arguments);\n        };\n        var _Prelu = Module[\"_Prelu\"] = function() {\n          return (_Prelu = Module[\"_Prelu\"] = Module[\"asm\"][\"Ga\"]).apply(null, arguments);\n        };\n        var _Prod = Module[\"_Prod\"] = function() {\n          return (_Prod = Module[\"_Prod\"] = Module[\"asm\"][\"Ha\"]).apply(null, arguments);\n        };\n        var _RealDiv = Module[\"_RealDiv\"] = function() {\n          return (_RealDiv = Module[\"_RealDiv\"] = Module[\"asm\"][\"Ia\"]).apply(null, arguments);\n        };\n        var _Relu = Module[\"_Relu\"] = function() {\n          return (_Relu = Module[\"_Relu\"] = Module[\"asm\"][\"Ja\"]).apply(null, arguments);\n        };\n        var _Relu6 = Module[\"_Relu6\"] = function() {\n          return (_Relu6 = Module[\"_Relu6\"] = Module[\"asm\"][\"Ka\"]).apply(null, arguments);\n        };\n        var _ResizeBilinear = Module[\"_ResizeBilinear\"] = function() {\n          return (_ResizeBilinear = Module[\"_ResizeBilinear\"] = Module[\"asm\"][\"La\"]).apply(null, arguments);\n        };\n        var _Reverse = Module[\"_Reverse\"] = function() {\n          return (_Reverse = Module[\"_Reverse\"] = Module[\"asm\"][\"Ma\"]).apply(null, arguments);\n        };\n        var _RotateWithOffset = Module[\"_RotateWithOffset\"] = function() {\n          return (_RotateWithOffset = Module[\"_RotateWithOffset\"] = Module[\"asm\"][\"Na\"]).apply(null, arguments);\n        };\n        var _Round = Module[\"_Round\"] = function() {\n          return (_Round = Module[\"_Round\"] = Module[\"asm\"][\"Oa\"]).apply(null, arguments);\n        };\n        var _Rsqrt = Module[\"_Rsqrt\"] = function() {\n          return (_Rsqrt = Module[\"_Rsqrt\"] = Module[\"asm\"][\"Pa\"]).apply(null, arguments);\n        };\n        var _ScatterNd = Module[\"_ScatterNd\"] = function() {\n          return (_ScatterNd = Module[\"_ScatterNd\"] = Module[\"asm\"][\"Qa\"]).apply(null, arguments);\n        };\n        var _SelectV2 = Module[\"_SelectV2\"] = function() {\n          return (_SelectV2 = Module[\"_SelectV2\"] = Module[\"asm\"][\"Ra\"]).apply(null, arguments);\n        };\n        var _Sigmoid = Module[\"_Sigmoid\"] = function() {\n          return (_Sigmoid = Module[\"_Sigmoid\"] = Module[\"asm\"][\"Sa\"]).apply(null, arguments);\n        };\n        var _Sin = Module[\"_Sin\"] = function() {\n          return (_Sin = Module[\"_Sin\"] = Module[\"asm\"][\"Ta\"]).apply(null, arguments);\n        };\n        var _Softmax = Module[\"_Softmax\"] = function() {\n          return (_Softmax = Module[\"_Softmax\"] = Module[\"asm\"][\"Ua\"]).apply(null, arguments);\n        };\n        var _Sqrt = Module[\"_Sqrt\"] = function() {\n          return (_Sqrt = Module[\"_Sqrt\"] = Module[\"asm\"][\"Va\"]).apply(null, arguments);\n        };\n        var _Square = Module[\"_Square\"] = function() {\n          return (_Square = Module[\"_Square\"] = Module[\"asm\"][\"Wa\"]).apply(null, arguments);\n        };\n        var _SquaredDifference = Module[\"_SquaredDifference\"] = function() {\n          return (_SquaredDifference = Module[\"_SquaredDifference\"] = Module[\"asm\"][\"Xa\"]).apply(null, arguments);\n        };\n        var _Step = Module[\"_Step\"] = function() {\n          return (_Step = Module[\"_Step\"] = Module[\"asm\"][\"Ya\"]).apply(null, arguments);\n        };\n        var _StridedSlice = Module[\"_StridedSlice\"] = function() {\n          return (_StridedSlice = Module[\"_StridedSlice\"] = Module[\"asm\"][\"Za\"]).apply(null, arguments);\n        };\n        var _Sub = Module[\"_Sub\"] = function() {\n          return (_Sub = Module[\"_Sub\"] = Module[\"asm\"][\"_a\"]).apply(null, arguments);\n        };\n        var _Sum = Module[\"_Sum\"] = function() {\n          return (_Sum = Module[\"_Sum\"] = Module[\"asm\"][\"$a\"]).apply(null, arguments);\n        };\n        var _Tan = Module[\"_Tan\"] = function() {\n          return (_Tan = Module[\"_Tan\"] = Module[\"asm\"][\"ab\"]).apply(null, arguments);\n        };\n        var _Tanh = Module[\"_Tanh\"] = function() {\n          return (_Tanh = Module[\"_Tanh\"] = Module[\"asm\"][\"bb\"]).apply(null, arguments);\n        };\n        var _Tile = Module[\"_Tile\"] = function() {\n          return (_Tile = Module[\"_Tile\"] = Module[\"asm\"][\"cb\"]).apply(null, arguments);\n        };\n        var _TopK = Module[\"_TopK\"] = function() {\n          return (_TopK = Module[\"_TopK\"] = Module[\"asm\"][\"db\"]).apply(null, arguments);\n        };\n        var _Transform = Module[\"_Transform\"] = function() {\n          return (_Transform = Module[\"_Transform\"] = Module[\"asm\"][\"eb\"]).apply(null, arguments);\n        };\n        var _Transpose = Module[\"_Transpose\"] = function() {\n          return (_Transpose = Module[\"_Transpose\"] = Module[\"asm\"][\"fb\"]).apply(null, arguments);\n        };\n        var __FusedMatMul = Module[\"__FusedMatMul\"] = function() {\n          return (__FusedMatMul = Module[\"__FusedMatMul\"] = Module[\"asm\"][\"gb\"]).apply(null, arguments);\n        };\n        var _malloc = Module[\"_malloc\"] = function() {\n          return (_malloc = Module[\"_malloc\"] = Module[\"asm\"][\"hb\"]).apply(null, arguments);\n        };\n        var _free = Module[\"_free\"] = function() {\n          return (_free = Module[\"_free\"] = Module[\"asm\"][\"ib\"]).apply(null, arguments);\n        };\n        var ___errno_location = Module[\"___errno_location\"] = function() {\n          return (___errno_location = Module[\"___errno_location\"] = Module[\"asm\"][\"jb\"]).apply(null, arguments);\n        };\n        var _emscripten_get_global_libc = Module[\"_emscripten_get_global_libc\"] = function() {\n          return (_emscripten_get_global_libc = Module[\"_emscripten_get_global_libc\"] = Module[\"asm\"][\"lb\"]).apply(null, arguments);\n        };\n        var _pthread_self = Module[\"_pthread_self\"] = function() {\n          return (_pthread_self = Module[\"_pthread_self\"] = Module[\"asm\"][\"mb\"]).apply(null, arguments);\n        };\n        var ___pthread_tsd_run_dtors = Module[\"___pthread_tsd_run_dtors\"] = function() {\n          return (___pthread_tsd_run_dtors = Module[\"___pthread_tsd_run_dtors\"] = Module[\"asm\"][\"nb\"]).apply(null, arguments);\n        };\n        var _emscripten_main_thread_process_queued_calls = Module[\"_emscripten_main_thread_process_queued_calls\"] = function() {\n          return (_emscripten_main_thread_process_queued_calls = Module[\"_emscripten_main_thread_process_queued_calls\"] = Module[\"asm\"][\"ob\"]).apply(null, arguments);\n        };\n        var _emscripten_current_thread_process_queued_calls = Module[\"_emscripten_current_thread_process_queued_calls\"] = function() {\n          return (_emscripten_current_thread_process_queued_calls = Module[\"_emscripten_current_thread_process_queued_calls\"] = Module[\"asm\"][\"pb\"]).apply(null, arguments);\n        };\n        var _emscripten_register_main_browser_thread_id = Module[\"_emscripten_register_main_browser_thread_id\"] = function() {\n          return (_emscripten_register_main_browser_thread_id = Module[\"_emscripten_register_main_browser_thread_id\"] = Module[\"asm\"][\"qb\"]).apply(null, arguments);\n        };\n        var _emscripten_main_browser_thread_id = Module[\"_emscripten_main_browser_thread_id\"] = function() {\n          return (_emscripten_main_browser_thread_id = Module[\"_emscripten_main_browser_thread_id\"] = Module[\"asm\"][\"rb\"]).apply(null, arguments);\n        };\n        var __emscripten_do_dispatch_to_thread = Module[\"__emscripten_do_dispatch_to_thread\"] = function() {\n          return (__emscripten_do_dispatch_to_thread = Module[\"__emscripten_do_dispatch_to_thread\"] = Module[\"asm\"][\"sb\"]).apply(null, arguments);\n        };\n        var _emscripten_sync_run_in_main_thread_4 = Module[\"_emscripten_sync_run_in_main_thread_4\"] = function() {\n          return (_emscripten_sync_run_in_main_thread_4 = Module[\"_emscripten_sync_run_in_main_thread_4\"] = Module[\"asm\"][\"tb\"]).apply(null, arguments);\n        };\n        var _emscripten_run_in_main_runtime_thread_js = Module[\"_emscripten_run_in_main_runtime_thread_js\"] = function() {\n          return (_emscripten_run_in_main_runtime_thread_js = Module[\"_emscripten_run_in_main_runtime_thread_js\"] = Module[\"asm\"][\"ub\"]).apply(null, arguments);\n        };\n        var __emscripten_call_on_thread = Module[\"__emscripten_call_on_thread\"] = function() {\n          return (__emscripten_call_on_thread = Module[\"__emscripten_call_on_thread\"] = Module[\"asm\"][\"vb\"]).apply(null, arguments);\n        };\n        var _emscripten_tls_init = Module[\"_emscripten_tls_init\"] = function() {\n          return (_emscripten_tls_init = Module[\"_emscripten_tls_init\"] = Module[\"asm\"][\"wb\"]).apply(null, arguments);\n        };\n        var __emscripten_thread_init = Module[\"__emscripten_thread_init\"] = function() {\n          return (__emscripten_thread_init = Module[\"__emscripten_thread_init\"] = Module[\"asm\"][\"xb\"]).apply(null, arguments);\n        };\n        var stackSave = Module[\"stackSave\"] = function() {\n          return (stackSave = Module[\"stackSave\"] = Module[\"asm\"][\"yb\"]).apply(null, arguments);\n        };\n        var stackRestore = Module[\"stackRestore\"] = function() {\n          return (stackRestore = Module[\"stackRestore\"] = Module[\"asm\"][\"zb\"]).apply(null, arguments);\n        };\n        var stackAlloc = Module[\"stackAlloc\"] = function() {\n          return (stackAlloc = Module[\"stackAlloc\"] = Module[\"asm\"][\"Ab\"]).apply(null, arguments);\n        };\n        var _emscripten_stack_set_limits = Module[\"_emscripten_stack_set_limits\"] = function() {\n          return (_emscripten_stack_set_limits = Module[\"_emscripten_stack_set_limits\"] = Module[\"asm\"][\"Bb\"]).apply(null, arguments);\n        };\n        var _memalign = Module[\"_memalign\"] = function() {\n          return (_memalign = Module[\"_memalign\"] = Module[\"asm\"][\"Cb\"]).apply(null, arguments);\n        };\n        var __emscripten_allow_main_runtime_queued_calls = Module[\"__emscripten_allow_main_runtime_queued_calls\"] = 10064;\n        var __emscripten_main_thread_futex = Module[\"__emscripten_main_thread_futex\"] = 10268;\n        Module[\"cwrap\"] = cwrap;\n        Module[\"PThread\"] = PThread;\n        Module[\"PThread\"] = PThread;\n        Module[\"wasmMemory\"] = wasmMemory;\n        Module[\"ExitStatus\"] = ExitStatus;\n        var calledRun;\n        function ExitStatus(status) {\n          this.name = \"ExitStatus\";\n          this.message = \"Program terminated with exit(\" + status + \")\";\n          this.status = status;\n        }\n        dependenciesFulfilled = function runCaller() {\n          if (!calledRun)\n            run();\n          if (!calledRun)\n            dependenciesFulfilled = runCaller;\n        };\n        function run(args) {\n          args = args || arguments_;\n          if (runDependencies > 0) {\n            return;\n          }\n          if (ENVIRONMENT_IS_PTHREAD) {\n            readyPromiseResolve(Module);\n            initRuntime();\n            postMessage({ \"cmd\": \"loaded\" });\n            return;\n          }\n          preRun();\n          if (runDependencies > 0) {\n            return;\n          }\n          function doRun() {\n            if (calledRun)\n              return;\n            calledRun = true;\n            Module[\"calledRun\"] = true;\n            if (ABORT)\n              return;\n            initRuntime();\n            preMain();\n            readyPromiseResolve(Module);\n            if (Module[\"onRuntimeInitialized\"])\n              Module[\"onRuntimeInitialized\"]();\n            postRun();\n          }\n          if (Module[\"setStatus\"]) {\n            Module[\"setStatus\"](\"Running...\");\n            setTimeout(function() {\n              setTimeout(function() {\n                Module[\"setStatus\"](\"\");\n              }, 1);\n              doRun();\n            }, 1);\n          } else {\n            doRun();\n          }\n        }\n        Module[\"run\"] = run;\n        function exit(status, implicit) {\n          if (implicit && noExitRuntime && status === 0) {\n            return;\n          }\n          if (!implicit) {\n            if (ENVIRONMENT_IS_PTHREAD) {\n              postMessage({ \"cmd\": \"exitProcess\", \"returnCode\": status });\n              throw new ExitStatus(status);\n            } else {\n            }\n          }\n          if (noExitRuntime) {\n          } else {\n            PThread.terminateAllThreads();\n            EXITSTATUS = status;\n            exitRuntime();\n            if (Module[\"onExit\"])\n              Module[\"onExit\"](status);\n            ABORT = true;\n          }\n          quit_(status, new ExitStatus(status));\n        }\n        if (Module[\"preInit\"]) {\n          if (typeof Module[\"preInit\"] == \"function\")\n            Module[\"preInit\"] = [Module[\"preInit\"]];\n          while (Module[\"preInit\"].length > 0) {\n            Module[\"preInit\"].pop()();\n          }\n        }\n        if (ENVIRONMENT_IS_PTHREAD) {\n          noExitRuntime = false;\n          PThread.initWorker();\n        }\n        run();\n        return WasmBackendModuleThreadedSimd2.ready;\n      };\n    }();\n    if (typeof exports === \"object\" && typeof module === \"object\")\n      module.exports = WasmBackendModuleThreadedSimd;\n    else if (typeof define === \"function\" && define[\"amd\"])\n      define([], function() {\n        return WasmBackendModuleThreadedSimd;\n      });\n    else if (typeof exports === \"object\")\n      exports[\"WasmBackendModuleThreadedSimd\"] = WasmBackendModuleThreadedSimd;\n  }\n});\nvar require_tfjs_backend_wasm = __commonJS({\n  \"src/tfjs-backend-wasm/wasm-out/tfjs-backend-wasm.js\"(exports, module) {\n    var WasmBackendModule = function() {\n      var _scriptDir = typeof document !== \"undefined\" && document.currentScript ? document.currentScript.src : void 0;\n      if (typeof __filename !== \"undefined\")\n        _scriptDir = _scriptDir || __filename;\n      return function(WasmBackendModule2) {\n        WasmBackendModule2 = WasmBackendModule2 || {};\n        var Module = typeof WasmBackendModule2 !== \"undefined\" ? WasmBackendModule2 : {};\n        var readyPromiseResolve, readyPromiseReject;\n        Module[\"ready\"] = new Promise(function(resolve, reject) {\n          readyPromiseResolve = resolve;\n          readyPromiseReject = reject;\n        });\n        var moduleOverrides = {};\n        var key;\n        for (key in Module) {\n          if (Module.hasOwnProperty(key)) {\n            moduleOverrides[key] = Module[key];\n          }\n        }\n        var arguments_ = [];\n        var thisProgram = \"./this.program\";\n        var quit_ = function(status, toThrow) {\n          throw toThrow;\n        };\n        var ENVIRONMENT_IS_WEB = false;\n        var ENVIRONMENT_IS_WORKER = false;\n        var ENVIRONMENT_IS_NODE = false;\n        var ENVIRONMENT_IS_SHELL = false;\n        ENVIRONMENT_IS_WEB = typeof window === \"object\";\n        ENVIRONMENT_IS_WORKER = typeof importScripts === \"function\";\n        ENVIRONMENT_IS_NODE = typeof process === \"object\" && typeof process.versions === \"object\" && typeof process.versions.node === \"string\";\n        ENVIRONMENT_IS_SHELL = !ENVIRONMENT_IS_WEB && !ENVIRONMENT_IS_NODE && !ENVIRONMENT_IS_WORKER;\n        var scriptDirectory = \"\";\n        function locateFile(path) {\n          if (Module[\"locateFile\"]) {\n            return Module[\"locateFile\"](path, scriptDirectory);\n          }\n          return scriptDirectory + path;\n        }\n        var read_, readAsync, readBinary, setWindowTitle;\n        var nodeFS;\n        var nodePath;\n        if (ENVIRONMENT_IS_NODE) {\n          if (ENVIRONMENT_IS_WORKER) {\n            scriptDirectory = __require2(\"path\").dirname(scriptDirectory) + \"/\";\n          } else {\n            scriptDirectory = __dirname + \"/\";\n          }\n          read_ = function shell_read(filename, binary) {\n            if (!nodeFS)\n              nodeFS = __require2(\"fs\");\n            if (!nodePath)\n              nodePath = __require2(\"path\");\n            filename = nodePath[\"normalize\"](filename);\n            return nodeFS[\"readFileSync\"](filename, binary ? null : \"utf8\");\n          };\n          readBinary = function readBinary2(filename) {\n            var ret = read_(filename, true);\n            if (!ret.buffer) {\n              ret = new Uint8Array(ret);\n            }\n            assert3(ret.buffer);\n            return ret;\n          };\n          if (process[\"argv\"].length > 1) {\n            thisProgram = process[\"argv\"][1].replace(/\\\\/g, \"/\");\n          }\n          arguments_ = process[\"argv\"].slice(2);\n          process[\"on\"](\"uncaughtException\", function(ex) {\n            if (!(ex instanceof ExitStatus)) {\n              throw ex;\n            }\n          });\n          process[\"on\"](\"unhandledRejection\", abort);\n          quit_ = function(status) {\n            process[\"exit\"](status);\n          };\n          Module[\"inspect\"] = function() {\n            return \"[Emscripten Module object]\";\n          };\n        } else if (ENVIRONMENT_IS_SHELL) {\n          if (typeof read != \"undefined\") {\n            read_ = function shell_read(f) {\n              return read(f);\n            };\n          }\n          readBinary = function readBinary2(f) {\n            var data;\n            if (typeof readbuffer === \"function\") {\n              return new Uint8Array(readbuffer(f));\n            }\n            data = read(f, \"binary\");\n            assert3(typeof data === \"object\");\n            return data;\n          };\n          if (typeof scriptArgs != \"undefined\") {\n            arguments_ = scriptArgs;\n          } else if (typeof arguments != \"undefined\") {\n            arguments_ = arguments;\n          }\n          if (typeof quit === \"function\") {\n            quit_ = function(status) {\n              quit(status);\n            };\n          }\n          if (typeof print !== \"undefined\") {\n            if (typeof console === \"undefined\")\n              console = {};\n            console.log = print;\n            console.warn = console.error = typeof printErr !== \"undefined\" ? printErr : print;\n          }\n        } else if (ENVIRONMENT_IS_WEB || ENVIRONMENT_IS_WORKER) {\n          if (ENVIRONMENT_IS_WORKER) {\n            scriptDirectory = self.location.href;\n          } else if (typeof document !== \"undefined\" && document.currentScript) {\n            scriptDirectory = document.currentScript.src;\n          }\n          if (_scriptDir) {\n            scriptDirectory = _scriptDir;\n          }\n          if (scriptDirectory.indexOf(\"blob:\") !== 0) {\n            scriptDirectory = scriptDirectory.substr(0, scriptDirectory.lastIndexOf(\"/\") + 1);\n          } else {\n            scriptDirectory = \"\";\n          }\n          {\n            read_ = function(url) {\n              var xhr = new XMLHttpRequest();\n              xhr.open(\"GET\", url, false);\n              xhr.send(null);\n              return xhr.responseText;\n            };\n            if (ENVIRONMENT_IS_WORKER) {\n              readBinary = function(url) {\n                var xhr = new XMLHttpRequest();\n                xhr.open(\"GET\", url, false);\n                xhr.responseType = \"arraybuffer\";\n                xhr.send(null);\n                return new Uint8Array(xhr.response);\n              };\n            }\n            readAsync = function(url, onload, onerror) {\n              var xhr = new XMLHttpRequest();\n              xhr.open(\"GET\", url, true);\n              xhr.responseType = \"arraybuffer\";\n              xhr.onload = function() {\n                if (xhr.status == 200 || xhr.status == 0 && xhr.response) {\n                  onload(xhr.response);\n                  return;\n                }\n                onerror();\n              };\n              xhr.onerror = onerror;\n              xhr.send(null);\n            };\n          }\n          setWindowTitle = function(title) {\n            document.title = title;\n          };\n        } else {\n        }\n        var out = Module[\"print\"] || console.log.bind(console);\n        var err = Module[\"printErr\"] || console.warn.bind(console);\n        for (key in moduleOverrides) {\n          if (moduleOverrides.hasOwnProperty(key)) {\n            Module[key] = moduleOverrides[key];\n          }\n        }\n        moduleOverrides = null;\n        if (Module[\"arguments\"])\n          arguments_ = Module[\"arguments\"];\n        if (Module[\"thisProgram\"])\n          thisProgram = Module[\"thisProgram\"];\n        if (Module[\"quit\"])\n          quit_ = Module[\"quit\"];\n        var wasmBinary;\n        if (Module[\"wasmBinary\"])\n          wasmBinary = Module[\"wasmBinary\"];\n        var noExitRuntime = Module[\"noExitRuntime\"] || true;\n        if (typeof WebAssembly !== \"object\") {\n          abort(\"no native wasm support detected\");\n        }\n        var wasmMemory;\n        var ABORT = false;\n        var EXITSTATUS;\n        function assert3(condition, text) {\n          if (!condition) {\n            abort(\"Assertion failed: \" + text);\n          }\n        }\n        function getCFunc(ident) {\n          var func2 = Module[\"_\" + ident];\n          assert3(func2, \"Cannot call unknown function \" + ident + \", make sure it is exported\");\n          return func2;\n        }\n        function ccall(ident, returnType, argTypes, args, opts) {\n          var toC = { \"string\": function(str) {\n            var ret2 = 0;\n            if (str !== null && str !== void 0 && str !== 0) {\n              var len = (str.length << 2) + 1;\n              ret2 = stackAlloc(len);\n              stringToUTF8(str, ret2, len);\n            }\n            return ret2;\n          }, \"array\": function(arr) {\n            var ret2 = stackAlloc(arr.length);\n            writeArrayToMemory(arr, ret2);\n            return ret2;\n          } };\n          function convertReturnValue(ret2) {\n            if (returnType === \"string\")\n              return UTF8ToString(ret2);\n            if (returnType === \"boolean\")\n              return Boolean(ret2);\n            return ret2;\n          }\n          var func2 = getCFunc(ident);\n          var cArgs = [];\n          var stack2 = 0;\n          if (args) {\n            for (var i = 0; i < args.length; i++) {\n              var converter = toC[argTypes[i]];\n              if (converter) {\n                if (stack2 === 0)\n                  stack2 = stackSave();\n                cArgs[i] = converter(args[i]);\n              } else {\n                cArgs[i] = args[i];\n              }\n            }\n          }\n          var ret = func2.apply(null, cArgs);\n          ret = convertReturnValue(ret);\n          if (stack2 !== 0)\n            stackRestore(stack2);\n          return ret;\n        }\n        function cwrap(ident, returnType, argTypes, opts) {\n          argTypes = argTypes || [];\n          var numericArgs = argTypes.every(function(type) {\n            return type === \"number\";\n          });\n          var numericRet = returnType !== \"string\";\n          if (numericRet && numericArgs && !opts) {\n            return getCFunc(ident);\n          }\n          return function() {\n            return ccall(ident, returnType, argTypes, arguments, opts);\n          };\n        }\n        var UTF8Decoder = typeof TextDecoder !== \"undefined\" ? new TextDecoder(\"utf8\") : void 0;\n        function UTF8ArrayToString(heap, idx, maxBytesToRead) {\n          var endIdx = idx + maxBytesToRead;\n          var endPtr = idx;\n          while (heap[endPtr] && !(endPtr >= endIdx))\n            ++endPtr;\n          if (endPtr - idx > 16 && heap.subarray && UTF8Decoder) {\n            return UTF8Decoder.decode(heap.subarray(idx, endPtr));\n          } else {\n            var str = \"\";\n            while (idx < endPtr) {\n              var u0 = heap[idx++];\n              if (!(u0 & 128)) {\n                str += String.fromCharCode(u0);\n                continue;\n              }\n              var u1 = heap[idx++] & 63;\n              if ((u0 & 224) == 192) {\n                str += String.fromCharCode((u0 & 31) << 6 | u1);\n                continue;\n              }\n              var u2 = heap[idx++] & 63;\n              if ((u0 & 240) == 224) {\n                u0 = (u0 & 15) << 12 | u1 << 6 | u2;\n              } else {\n                u0 = (u0 & 7) << 18 | u1 << 12 | u2 << 6 | heap[idx++] & 63;\n              }\n              if (u0 < 65536) {\n                str += String.fromCharCode(u0);\n              } else {\n                var ch = u0 - 65536;\n                str += String.fromCharCode(55296 | ch >> 10, 56320 | ch & 1023);\n              }\n            }\n          }\n          return str;\n        }\n        function UTF8ToString(ptr, maxBytesToRead) {\n          return ptr ? UTF8ArrayToString(HEAPU8, ptr, maxBytesToRead) : \"\";\n        }\n        function stringToUTF8Array(str, heap, outIdx, maxBytesToWrite) {\n          if (!(maxBytesToWrite > 0))\n            return 0;\n          var startIdx = outIdx;\n          var endIdx = outIdx + maxBytesToWrite - 1;\n          for (var i = 0; i < str.length; ++i) {\n            var u = str.charCodeAt(i);\n            if (u >= 55296 && u <= 57343) {\n              var u1 = str.charCodeAt(++i);\n              u = 65536 + ((u & 1023) << 10) | u1 & 1023;\n            }\n            if (u <= 127) {\n              if (outIdx >= endIdx)\n                break;\n              heap[outIdx++] = u;\n            } else if (u <= 2047) {\n              if (outIdx + 1 >= endIdx)\n                break;\n              heap[outIdx++] = 192 | u >> 6;\n              heap[outIdx++] = 128 | u & 63;\n            } else if (u <= 65535) {\n              if (outIdx + 2 >= endIdx)\n                break;\n              heap[outIdx++] = 224 | u >> 12;\n              heap[outIdx++] = 128 | u >> 6 & 63;\n              heap[outIdx++] = 128 | u & 63;\n            } else {\n              if (outIdx + 3 >= endIdx)\n                break;\n              heap[outIdx++] = 240 | u >> 18;\n              heap[outIdx++] = 128 | u >> 12 & 63;\n              heap[outIdx++] = 128 | u >> 6 & 63;\n              heap[outIdx++] = 128 | u & 63;\n            }\n          }\n          heap[outIdx] = 0;\n          return outIdx - startIdx;\n        }\n        function stringToUTF8(str, outPtr, maxBytesToWrite) {\n          return stringToUTF8Array(str, HEAPU8, outPtr, maxBytesToWrite);\n        }\n        function writeArrayToMemory(array2, buffer3) {\n          HEAP8.set(array2, buffer3);\n        }\n        function alignUp(x, multiple) {\n          if (x % multiple > 0) {\n            x += multiple - x % multiple;\n          }\n          return x;\n        }\n        var buffer2, HEAP8, HEAPU8, HEAP16, HEAPU16, HEAP32, HEAPU32, HEAPF32, HEAPF64;\n        function updateGlobalBufferAndViews(buf) {\n          buffer2 = buf;\n          Module[\"HEAP8\"] = HEAP8 = new Int8Array(buf);\n          Module[\"HEAP16\"] = HEAP16 = new Int16Array(buf);\n          Module[\"HEAP32\"] = HEAP32 = new Int32Array(buf);\n          Module[\"HEAPU8\"] = HEAPU8 = new Uint8Array(buf);\n          Module[\"HEAPU16\"] = HEAPU16 = new Uint16Array(buf);\n          Module[\"HEAPU32\"] = HEAPU32 = new Uint32Array(buf);\n          Module[\"HEAPF32\"] = HEAPF32 = new Float32Array(buf);\n          Module[\"HEAPF64\"] = HEAPF64 = new Float64Array(buf);\n        }\n        var INITIAL_MEMORY = Module[\"INITIAL_MEMORY\"] || 16777216;\n        var wasmTable;\n        var __ATPRERUN__ = [];\n        var __ATINIT__ = [];\n        var __ATMAIN__ = [];\n        var __ATPOSTRUN__ = [];\n        var runtimeInitialized = false;\n        __ATINIT__.push({ func: function() {\n          ___wasm_call_ctors();\n        } });\n        function preRun() {\n          if (Module[\"preRun\"]) {\n            if (typeof Module[\"preRun\"] == \"function\")\n              Module[\"preRun\"] = [Module[\"preRun\"]];\n            while (Module[\"preRun\"].length) {\n              addOnPreRun(Module[\"preRun\"].shift());\n            }\n          }\n          callRuntimeCallbacks(__ATPRERUN__);\n        }\n        function initRuntime() {\n          runtimeInitialized = true;\n          callRuntimeCallbacks(__ATINIT__);\n        }\n        function preMain() {\n          callRuntimeCallbacks(__ATMAIN__);\n        }\n        function postRun() {\n          if (Module[\"postRun\"]) {\n            if (typeof Module[\"postRun\"] == \"function\")\n              Module[\"postRun\"] = [Module[\"postRun\"]];\n            while (Module[\"postRun\"].length) {\n              addOnPostRun(Module[\"postRun\"].shift());\n            }\n          }\n          callRuntimeCallbacks(__ATPOSTRUN__);\n        }\n        function addOnPreRun(cb) {\n          __ATPRERUN__.unshift(cb);\n        }\n        function addOnPostRun(cb) {\n          __ATPOSTRUN__.unshift(cb);\n        }\n        var runDependencies = 0;\n        var runDependencyWatcher = null;\n        var dependenciesFulfilled = null;\n        function addRunDependency(id) {\n          runDependencies++;\n          if (Module[\"monitorRunDependencies\"]) {\n            Module[\"monitorRunDependencies\"](runDependencies);\n          }\n        }\n        function removeRunDependency(id) {\n          runDependencies--;\n          if (Module[\"monitorRunDependencies\"]) {\n            Module[\"monitorRunDependencies\"](runDependencies);\n          }\n          if (runDependencies == 0) {\n            if (runDependencyWatcher !== null) {\n              clearInterval(runDependencyWatcher);\n              runDependencyWatcher = null;\n            }\n            if (dependenciesFulfilled) {\n              var callback = dependenciesFulfilled;\n              dependenciesFulfilled = null;\n              callback();\n            }\n          }\n        }\n        Module[\"preloadedImages\"] = {};\n        Module[\"preloadedAudios\"] = {};\n        function abort(what) {\n          if (Module[\"onAbort\"]) {\n            Module[\"onAbort\"](what);\n          }\n          what += \"\";\n          err(what);\n          ABORT = true;\n          EXITSTATUS = 1;\n          what = \"abort(\" + what + \"). Build with -s ASSERTIONS=1 for more info.\";\n          var e = new WebAssembly.RuntimeError(what);\n          readyPromiseReject(e);\n          throw e;\n        }\n        function hasPrefix(str, prefix) {\n          return String.prototype.startsWith ? str.startsWith(prefix) : str.indexOf(prefix) === 0;\n        }\n        var dataURIPrefix = \"data:application/octet-stream;base64,\";\n        function isDataURI(filename) {\n          return hasPrefix(filename, dataURIPrefix);\n        }\n        var fileURIPrefix = \"file://\";\n        function isFileURI(filename) {\n          return hasPrefix(filename, fileURIPrefix);\n        }\n        var wasmBinaryFile = \"tfjs-backend-wasm.wasm\";\n        if (!isDataURI(wasmBinaryFile)) {\n          wasmBinaryFile = locateFile(wasmBinaryFile);\n        }\n        function getBinary(file) {\n          try {\n            if (file == wasmBinaryFile && wasmBinary) {\n              return new Uint8Array(wasmBinary);\n            }\n            if (readBinary) {\n              return readBinary(file);\n            } else {\n              throw \"both async and sync fetching of the wasm failed\";\n            }\n          } catch (err2) {\n            abort(err2);\n          }\n        }\n        function getBinaryPromise() {\n          if (!wasmBinary && (ENVIRONMENT_IS_WEB || ENVIRONMENT_IS_WORKER)) {\n            if (typeof fetch === \"function\" && !isFileURI(wasmBinaryFile)) {\n              return fetch(wasmBinaryFile, { credentials: \"same-origin\" }).then(function(response) {\n                if (!response[\"ok\"]) {\n                  throw \"failed to load wasm binary file at '\" + wasmBinaryFile + \"'\";\n                }\n                return response[\"arrayBuffer\"]();\n              }).catch(function() {\n                return getBinary(wasmBinaryFile);\n              });\n            } else {\n              if (readAsync) {\n                return new Promise(function(resolve, reject) {\n                  readAsync(wasmBinaryFile, function(response) {\n                    resolve(new Uint8Array(response));\n                  }, reject);\n                });\n              }\n            }\n          }\n          return Promise.resolve().then(function() {\n            return getBinary(wasmBinaryFile);\n          });\n        }\n        function createWasm() {\n          var info = { \"a\": asmLibraryArg };\n          function receiveInstance(instance, module2) {\n            var exports3 = instance.exports;\n            Module[\"asm\"] = exports3;\n            wasmMemory = Module[\"asm\"][\"h\"];\n            updateGlobalBufferAndViews(wasmMemory.buffer);\n            wasmTable = Module[\"asm\"][\"Sa\"];\n            removeRunDependency(\"wasm-instantiate\");\n          }\n          addRunDependency(\"wasm-instantiate\");\n          function receiveInstantiatedSource(output) {\n            receiveInstance(output[\"instance\"]);\n          }\n          function instantiateArrayBuffer(receiver) {\n            return getBinaryPromise().then(function(binary) {\n              return WebAssembly.instantiate(binary, info);\n            }).then(receiver, function(reason) {\n              err(\"failed to asynchronously prepare wasm: \" + reason);\n              abort(reason);\n            });\n          }\n          function instantiateAsync() {\n            if (!wasmBinary && typeof WebAssembly.instantiateStreaming === \"function\" && !isDataURI(wasmBinaryFile) && !isFileURI(wasmBinaryFile) && typeof fetch === \"function\") {\n              return fetch(wasmBinaryFile, { credentials: \"same-origin\" }).then(function(response) {\n                var result = WebAssembly.instantiateStreaming(response, info);\n                return result.then(receiveInstantiatedSource, function(reason) {\n                  err(\"wasm streaming compile failed: \" + reason);\n                  err(\"falling back to ArrayBuffer instantiation\");\n                  return instantiateArrayBuffer(receiveInstantiatedSource);\n                });\n              });\n            } else {\n              return instantiateArrayBuffer(receiveInstantiatedSource);\n            }\n          }\n          if (Module[\"instantiateWasm\"]) {\n            try {\n              var exports2 = Module[\"instantiateWasm\"](info, receiveInstance);\n              return exports2;\n            } catch (e) {\n              err(\"Module.instantiateWasm callback failed with error: \" + e);\n              return false;\n            }\n          }\n          instantiateAsync().catch(readyPromiseReject);\n          return {};\n        }\n        function callRuntimeCallbacks(callbacks2) {\n          while (callbacks2.length > 0) {\n            var callback = callbacks2.shift();\n            if (typeof callback == \"function\") {\n              callback(Module);\n              continue;\n            }\n            var func2 = callback.func;\n            if (typeof func2 === \"number\") {\n              if (callback.arg === void 0) {\n                wasmTable.get(func2)();\n              } else {\n                wasmTable.get(func2)(callback.arg);\n              }\n            } else {\n              func2(callback.arg === void 0 ? null : callback.arg);\n            }\n          }\n        }\n        function _abort() {\n          abort();\n        }\n        function _emscripten_memcpy_big(dest, src, num) {\n          HEAPU8.copyWithin(dest, src, src + num);\n        }\n        function _emscripten_get_heap_size() {\n          return HEAPU8.length;\n        }\n        function emscripten_realloc_buffer(size) {\n          try {\n            wasmMemory.grow(size - buffer2.byteLength + 65535 >>> 16);\n            updateGlobalBufferAndViews(wasmMemory.buffer);\n            return 1;\n          } catch (e) {\n          }\n        }\n        function _emscripten_resize_heap(requestedSize) {\n          var oldSize = _emscripten_get_heap_size();\n          var maxHeapSize = 2147483648;\n          if (requestedSize > maxHeapSize) {\n            return false;\n          }\n          for (var cutDown = 1; cutDown <= 4; cutDown *= 2) {\n            var overGrownHeapSize = oldSize * (1 + 0.2 / cutDown);\n            overGrownHeapSize = Math.min(overGrownHeapSize, requestedSize + 100663296);\n            var newSize = Math.min(maxHeapSize, alignUp(Math.max(requestedSize, overGrownHeapSize), 65536));\n            var replacement = emscripten_realloc_buffer(newSize);\n            if (replacement) {\n              return true;\n            }\n          }\n          return false;\n        }\n        var SYSCALLS = { mappings: {}, buffers: [null, [], []], printChar: function(stream, curr) {\n          var buffer3 = SYSCALLS.buffers[stream];\n          if (curr === 0 || curr === 10) {\n            (stream === 1 ? out : err)(UTF8ArrayToString(buffer3, 0));\n            buffer3.length = 0;\n          } else {\n            buffer3.push(curr);\n          }\n        }, varargs: void 0, get: function() {\n          SYSCALLS.varargs += 4;\n          var ret = HEAP32[SYSCALLS.varargs - 4 >> 2];\n          return ret;\n        }, getStr: function(ptr) {\n          var ret = UTF8ToString(ptr);\n          return ret;\n        }, get64: function(low, high) {\n          return low;\n        } };\n        function _fd_close(fd) {\n          return 0;\n        }\n        function _fd_seek(fd, offset_low, offset_high, whence, newOffset) {\n        }\n        function _fd_write(fd, iov, iovcnt, pnum) {\n          var num = 0;\n          for (var i = 0; i < iovcnt; i++) {\n            var ptr = HEAP32[iov + i * 8 >> 2];\n            var len = HEAP32[iov + (i * 8 + 4) >> 2];\n            for (var j = 0; j < len; j++) {\n              SYSCALLS.printChar(fd, HEAPU8[ptr + j]);\n            }\n            num += len;\n          }\n          HEAP32[pnum >> 2] = num;\n          return 0;\n        }\n        function _pthread_join() {\n          return 28;\n        }\n        var asmLibraryArg = { \"a\": _abort, \"d\": _emscripten_memcpy_big, \"e\": _emscripten_resize_heap, \"f\": _fd_close, \"c\": _fd_seek, \"b\": _fd_write, \"g\": _pthread_join };\n        var asm = createWasm();\n        var ___wasm_call_ctors = Module[\"___wasm_call_ctors\"] = function() {\n          return (___wasm_call_ctors = Module[\"___wasm_call_ctors\"] = Module[\"asm\"][\"i\"]).apply(null, arguments);\n        };\n        var _init = Module[\"_init\"] = function() {\n          return (_init = Module[\"_init\"] = Module[\"asm\"][\"j\"]).apply(null, arguments);\n        };\n        var _init_with_threads_count = Module[\"_init_with_threads_count\"] = function() {\n          return (_init_with_threads_count = Module[\"_init_with_threads_count\"] = Module[\"asm\"][\"k\"]).apply(null, arguments);\n        };\n        var _get_threads_count = Module[\"_get_threads_count\"] = function() {\n          return (_get_threads_count = Module[\"_get_threads_count\"] = Module[\"asm\"][\"l\"]).apply(null, arguments);\n        };\n        var _register_tensor = Module[\"_register_tensor\"] = function() {\n          return (_register_tensor = Module[\"_register_tensor\"] = Module[\"asm\"][\"m\"]).apply(null, arguments);\n        };\n        var _dispose_data = Module[\"_dispose_data\"] = function() {\n          return (_dispose_data = Module[\"_dispose_data\"] = Module[\"asm\"][\"n\"]).apply(null, arguments);\n        };\n        var _dispose = Module[\"_dispose\"] = function() {\n          return (_dispose = Module[\"_dispose\"] = Module[\"asm\"][\"o\"]).apply(null, arguments);\n        };\n        var _Abs = Module[\"_Abs\"] = function() {\n          return (_Abs = Module[\"_Abs\"] = Module[\"asm\"][\"p\"]).apply(null, arguments);\n        };\n        var _Add = Module[\"_Add\"] = function() {\n          return (_Add = Module[\"_Add\"] = Module[\"asm\"][\"q\"]).apply(null, arguments);\n        };\n        var _AddN = Module[\"_AddN\"] = function() {\n          return (_AddN = Module[\"_AddN\"] = Module[\"asm\"][\"r\"]).apply(null, arguments);\n        };\n        var _All = Module[\"_All\"] = function() {\n          return (_All = Module[\"_All\"] = Module[\"asm\"][\"s\"]).apply(null, arguments);\n        };\n        var _Any = Module[\"_Any\"] = function() {\n          return (_Any = Module[\"_Any\"] = Module[\"asm\"][\"t\"]).apply(null, arguments);\n        };\n        var _ArgMax = Module[\"_ArgMax\"] = function() {\n          return (_ArgMax = Module[\"_ArgMax\"] = Module[\"asm\"][\"u\"]).apply(null, arguments);\n        };\n        var _AvgPool = Module[\"_AvgPool\"] = function() {\n          return (_AvgPool = Module[\"_AvgPool\"] = Module[\"asm\"][\"v\"]).apply(null, arguments);\n        };\n        var _BatchMatMul = Module[\"_BatchMatMul\"] = function() {\n          return (_BatchMatMul = Module[\"_BatchMatMul\"] = Module[\"asm\"][\"w\"]).apply(null, arguments);\n        };\n        var _Ceil = Module[\"_Ceil\"] = function() {\n          return (_Ceil = Module[\"_Ceil\"] = Module[\"asm\"][\"x\"]).apply(null, arguments);\n        };\n        var _ClipByValue = Module[\"_ClipByValue\"] = function() {\n          return (_ClipByValue = Module[\"_ClipByValue\"] = Module[\"asm\"][\"y\"]).apply(null, arguments);\n        };\n        var _Conv2D2 = Module[\"_Conv2D\"] = function() {\n          return (_Conv2D2 = Module[\"_Conv2D\"] = Module[\"asm\"][\"z\"]).apply(null, arguments);\n        };\n        var _Conv2DBackpropInput = Module[\"_Conv2DBackpropInput\"] = function() {\n          return (_Conv2DBackpropInput = Module[\"_Conv2DBackpropInput\"] = Module[\"asm\"][\"A\"]).apply(null, arguments);\n        };\n        var _Cos = Module[\"_Cos\"] = function() {\n          return (_Cos = Module[\"_Cos\"] = Module[\"asm\"][\"B\"]).apply(null, arguments);\n        };\n        var _Cosh = Module[\"_Cosh\"] = function() {\n          return (_Cosh = Module[\"_Cosh\"] = Module[\"asm\"][\"C\"]).apply(null, arguments);\n        };\n        var _CropAndResize = Module[\"_CropAndResize\"] = function() {\n          return (_CropAndResize = Module[\"_CropAndResize\"] = Module[\"asm\"][\"D\"]).apply(null, arguments);\n        };\n        var _Cumsum = Module[\"_Cumsum\"] = function() {\n          return (_Cumsum = Module[\"_Cumsum\"] = Module[\"asm\"][\"E\"]).apply(null, arguments);\n        };\n        var _DepthToSpace = Module[\"_DepthToSpace\"] = function() {\n          return (_DepthToSpace = Module[\"_DepthToSpace\"] = Module[\"asm\"][\"F\"]).apply(null, arguments);\n        };\n        var _DepthwiseConv2dNative = Module[\"_DepthwiseConv2dNative\"] = function() {\n          return (_DepthwiseConv2dNative = Module[\"_DepthwiseConv2dNative\"] = Module[\"asm\"][\"G\"]).apply(null, arguments);\n        };\n        var _Elu = Module[\"_Elu\"] = function() {\n          return (_Elu = Module[\"_Elu\"] = Module[\"asm\"][\"H\"]).apply(null, arguments);\n        };\n        var _Equal = Module[\"_Equal\"] = function() {\n          return (_Equal = Module[\"_Equal\"] = Module[\"asm\"][\"I\"]).apply(null, arguments);\n        };\n        var _Exp = Module[\"_Exp\"] = function() {\n          return (_Exp = Module[\"_Exp\"] = Module[\"asm\"][\"J\"]).apply(null, arguments);\n        };\n        var _FlipLeftRight = Module[\"_FlipLeftRight\"] = function() {\n          return (_FlipLeftRight = Module[\"_FlipLeftRight\"] = Module[\"asm\"][\"K\"]).apply(null, arguments);\n        };\n        var _Floor = Module[\"_Floor\"] = function() {\n          return (_Floor = Module[\"_Floor\"] = Module[\"asm\"][\"L\"]).apply(null, arguments);\n        };\n        var _FloorDiv = Module[\"_FloorDiv\"] = function() {\n          return (_FloorDiv = Module[\"_FloorDiv\"] = Module[\"asm\"][\"M\"]).apply(null, arguments);\n        };\n        var _FusedBatchNorm = Module[\"_FusedBatchNorm\"] = function() {\n          return (_FusedBatchNorm = Module[\"_FusedBatchNorm\"] = Module[\"asm\"][\"N\"]).apply(null, arguments);\n        };\n        var _FusedConv2D = Module[\"_FusedConv2D\"] = function() {\n          return (_FusedConv2D = Module[\"_FusedConv2D\"] = Module[\"asm\"][\"O\"]).apply(null, arguments);\n        };\n        var _FusedDepthwiseConv2D = Module[\"_FusedDepthwiseConv2D\"] = function() {\n          return (_FusedDepthwiseConv2D = Module[\"_FusedDepthwiseConv2D\"] = Module[\"asm\"][\"P\"]).apply(null, arguments);\n        };\n        var _Gather = Module[\"_Gather\"] = function() {\n          return (_Gather = Module[\"_Gather\"] = Module[\"asm\"][\"Q\"]).apply(null, arguments);\n        };\n        var _GatherNd = Module[\"_GatherNd\"] = function() {\n          return (_GatherNd = Module[\"_GatherNd\"] = Module[\"asm\"][\"R\"]).apply(null, arguments);\n        };\n        var _Greater = Module[\"_Greater\"] = function() {\n          return (_Greater = Module[\"_Greater\"] = Module[\"asm\"][\"S\"]).apply(null, arguments);\n        };\n        var _GreaterEqual = Module[\"_GreaterEqual\"] = function() {\n          return (_GreaterEqual = Module[\"_GreaterEqual\"] = Module[\"asm\"][\"T\"]).apply(null, arguments);\n        };\n        var _LeakyRelu = Module[\"_LeakyRelu\"] = function() {\n          return (_LeakyRelu = Module[\"_LeakyRelu\"] = Module[\"asm\"][\"U\"]).apply(null, arguments);\n        };\n        var _Less = Module[\"_Less\"] = function() {\n          return (_Less = Module[\"_Less\"] = Module[\"asm\"][\"V\"]).apply(null, arguments);\n        };\n        var _LessEqual = Module[\"_LessEqual\"] = function() {\n          return (_LessEqual = Module[\"_LessEqual\"] = Module[\"asm\"][\"W\"]).apply(null, arguments);\n        };\n        var _Log = Module[\"_Log\"] = function() {\n          return (_Log = Module[\"_Log\"] = Module[\"asm\"][\"X\"]).apply(null, arguments);\n        };\n        var _LogicalAnd = Module[\"_LogicalAnd\"] = function() {\n          return (_LogicalAnd = Module[\"_LogicalAnd\"] = Module[\"asm\"][\"Y\"]).apply(null, arguments);\n        };\n        var _Max = Module[\"_Max\"] = function() {\n          return (_Max = Module[\"_Max\"] = Module[\"asm\"][\"Z\"]).apply(null, arguments);\n        };\n        var _MaxPool = Module[\"_MaxPool\"] = function() {\n          return (_MaxPool = Module[\"_MaxPool\"] = Module[\"asm\"][\"_\"]).apply(null, arguments);\n        };\n        var _Maximum = Module[\"_Maximum\"] = function() {\n          return (_Maximum = Module[\"_Maximum\"] = Module[\"asm\"][\"$\"]).apply(null, arguments);\n        };\n        var _Mean = Module[\"_Mean\"] = function() {\n          return (_Mean = Module[\"_Mean\"] = Module[\"asm\"][\"aa\"]).apply(null, arguments);\n        };\n        var _Min = Module[\"_Min\"] = function() {\n          return (_Min = Module[\"_Min\"] = Module[\"asm\"][\"ba\"]).apply(null, arguments);\n        };\n        var _Minimum = Module[\"_Minimum\"] = function() {\n          return (_Minimum = Module[\"_Minimum\"] = Module[\"asm\"][\"ca\"]).apply(null, arguments);\n        };\n        var _MirrorPad = Module[\"_MirrorPad\"] = function() {\n          return (_MirrorPad = Module[\"_MirrorPad\"] = Module[\"asm\"][\"da\"]).apply(null, arguments);\n        };\n        var _Multiply = Module[\"_Multiply\"] = function() {\n          return (_Multiply = Module[\"_Multiply\"] = Module[\"asm\"][\"ea\"]).apply(null, arguments);\n        };\n        var _Neg = Module[\"_Neg\"] = function() {\n          return (_Neg = Module[\"_Neg\"] = Module[\"asm\"][\"fa\"]).apply(null, arguments);\n        };\n        var _NonMaxSuppressionV3 = Module[\"_NonMaxSuppressionV3\"] = function() {\n          return (_NonMaxSuppressionV3 = Module[\"_NonMaxSuppressionV3\"] = Module[\"asm\"][\"ga\"]).apply(null, arguments);\n        };\n        var _NonMaxSuppressionV4 = Module[\"_NonMaxSuppressionV4\"] = function() {\n          return (_NonMaxSuppressionV4 = Module[\"_NonMaxSuppressionV4\"] = Module[\"asm\"][\"ha\"]).apply(null, arguments);\n        };\n        var _NonMaxSuppressionV5 = Module[\"_NonMaxSuppressionV5\"] = function() {\n          return (_NonMaxSuppressionV5 = Module[\"_NonMaxSuppressionV5\"] = Module[\"asm\"][\"ia\"]).apply(null, arguments);\n        };\n        var _NotEqual = Module[\"_NotEqual\"] = function() {\n          return (_NotEqual = Module[\"_NotEqual\"] = Module[\"asm\"][\"ja\"]).apply(null, arguments);\n        };\n        var _OneHot = Module[\"_OneHot\"] = function() {\n          return (_OneHot = Module[\"_OneHot\"] = Module[\"asm\"][\"ka\"]).apply(null, arguments);\n        };\n        var _PadV2 = Module[\"_PadV2\"] = function() {\n          return (_PadV2 = Module[\"_PadV2\"] = Module[\"asm\"][\"la\"]).apply(null, arguments);\n        };\n        var _Pow = Module[\"_Pow\"] = function() {\n          return (_Pow = Module[\"_Pow\"] = Module[\"asm\"][\"ma\"]).apply(null, arguments);\n        };\n        var _Prelu = Module[\"_Prelu\"] = function() {\n          return (_Prelu = Module[\"_Prelu\"] = Module[\"asm\"][\"na\"]).apply(null, arguments);\n        };\n        var _Prod = Module[\"_Prod\"] = function() {\n          return (_Prod = Module[\"_Prod\"] = Module[\"asm\"][\"oa\"]).apply(null, arguments);\n        };\n        var _RealDiv = Module[\"_RealDiv\"] = function() {\n          return (_RealDiv = Module[\"_RealDiv\"] = Module[\"asm\"][\"pa\"]).apply(null, arguments);\n        };\n        var _Relu = Module[\"_Relu\"] = function() {\n          return (_Relu = Module[\"_Relu\"] = Module[\"asm\"][\"qa\"]).apply(null, arguments);\n        };\n        var _Relu6 = Module[\"_Relu6\"] = function() {\n          return (_Relu6 = Module[\"_Relu6\"] = Module[\"asm\"][\"ra\"]).apply(null, arguments);\n        };\n        var _ResizeBilinear = Module[\"_ResizeBilinear\"] = function() {\n          return (_ResizeBilinear = Module[\"_ResizeBilinear\"] = Module[\"asm\"][\"sa\"]).apply(null, arguments);\n        };\n        var _Reverse = Module[\"_Reverse\"] = function() {\n          return (_Reverse = Module[\"_Reverse\"] = Module[\"asm\"][\"ta\"]).apply(null, arguments);\n        };\n        var _RotateWithOffset = Module[\"_RotateWithOffset\"] = function() {\n          return (_RotateWithOffset = Module[\"_RotateWithOffset\"] = Module[\"asm\"][\"ua\"]).apply(null, arguments);\n        };\n        var _Round = Module[\"_Round\"] = function() {\n          return (_Round = Module[\"_Round\"] = Module[\"asm\"][\"va\"]).apply(null, arguments);\n        };\n        var _Rsqrt = Module[\"_Rsqrt\"] = function() {\n          return (_Rsqrt = Module[\"_Rsqrt\"] = Module[\"asm\"][\"wa\"]).apply(null, arguments);\n        };\n        var _ScatterNd = Module[\"_ScatterNd\"] = function() {\n          return (_ScatterNd = Module[\"_ScatterNd\"] = Module[\"asm\"][\"xa\"]).apply(null, arguments);\n        };\n        var _SelectV2 = Module[\"_SelectV2\"] = function() {\n          return (_SelectV2 = Module[\"_SelectV2\"] = Module[\"asm\"][\"ya\"]).apply(null, arguments);\n        };\n        var _Sigmoid = Module[\"_Sigmoid\"] = function() {\n          return (_Sigmoid = Module[\"_Sigmoid\"] = Module[\"asm\"][\"za\"]).apply(null, arguments);\n        };\n        var _Sin = Module[\"_Sin\"] = function() {\n          return (_Sin = Module[\"_Sin\"] = Module[\"asm\"][\"Aa\"]).apply(null, arguments);\n        };\n        var _Softmax = Module[\"_Softmax\"] = function() {\n          return (_Softmax = Module[\"_Softmax\"] = Module[\"asm\"][\"Ba\"]).apply(null, arguments);\n        };\n        var _Sqrt = Module[\"_Sqrt\"] = function() {\n          return (_Sqrt = Module[\"_Sqrt\"] = Module[\"asm\"][\"Ca\"]).apply(null, arguments);\n        };\n        var _Square = Module[\"_Square\"] = function() {\n          return (_Square = Module[\"_Square\"] = Module[\"asm\"][\"Da\"]).apply(null, arguments);\n        };\n        var _SquaredDifference = Module[\"_SquaredDifference\"] = function() {\n          return (_SquaredDifference = Module[\"_SquaredDifference\"] = Module[\"asm\"][\"Ea\"]).apply(null, arguments);\n        };\n        var _Step = Module[\"_Step\"] = function() {\n          return (_Step = Module[\"_Step\"] = Module[\"asm\"][\"Fa\"]).apply(null, arguments);\n        };\n        var _StridedSlice = Module[\"_StridedSlice\"] = function() {\n          return (_StridedSlice = Module[\"_StridedSlice\"] = Module[\"asm\"][\"Ga\"]).apply(null, arguments);\n        };\n        var _Sub = Module[\"_Sub\"] = function() {\n          return (_Sub = Module[\"_Sub\"] = Module[\"asm\"][\"Ha\"]).apply(null, arguments);\n        };\n        var _Sum = Module[\"_Sum\"] = function() {\n          return (_Sum = Module[\"_Sum\"] = Module[\"asm\"][\"Ia\"]).apply(null, arguments);\n        };\n        var _Tan = Module[\"_Tan\"] = function() {\n          return (_Tan = Module[\"_Tan\"] = Module[\"asm\"][\"Ja\"]).apply(null, arguments);\n        };\n        var _Tanh = Module[\"_Tanh\"] = function() {\n          return (_Tanh = Module[\"_Tanh\"] = Module[\"asm\"][\"Ka\"]).apply(null, arguments);\n        };\n        var _Tile = Module[\"_Tile\"] = function() {\n          return (_Tile = Module[\"_Tile\"] = Module[\"asm\"][\"La\"]).apply(null, arguments);\n        };\n        var _TopK = Module[\"_TopK\"] = function() {\n          return (_TopK = Module[\"_TopK\"] = Module[\"asm\"][\"Ma\"]).apply(null, arguments);\n        };\n        var _Transform = Module[\"_Transform\"] = function() {\n          return (_Transform = Module[\"_Transform\"] = Module[\"asm\"][\"Na\"]).apply(null, arguments);\n        };\n        var _Transpose = Module[\"_Transpose\"] = function() {\n          return (_Transpose = Module[\"_Transpose\"] = Module[\"asm\"][\"Oa\"]).apply(null, arguments);\n        };\n        var __FusedMatMul = Module[\"__FusedMatMul\"] = function() {\n          return (__FusedMatMul = Module[\"__FusedMatMul\"] = Module[\"asm\"][\"Pa\"]).apply(null, arguments);\n        };\n        var _malloc = Module[\"_malloc\"] = function() {\n          return (_malloc = Module[\"_malloc\"] = Module[\"asm\"][\"Qa\"]).apply(null, arguments);\n        };\n        var _free = Module[\"_free\"] = function() {\n          return (_free = Module[\"_free\"] = Module[\"asm\"][\"Ra\"]).apply(null, arguments);\n        };\n        var stackSave = Module[\"stackSave\"] = function() {\n          return (stackSave = Module[\"stackSave\"] = Module[\"asm\"][\"Ta\"]).apply(null, arguments);\n        };\n        var stackRestore = Module[\"stackRestore\"] = function() {\n          return (stackRestore = Module[\"stackRestore\"] = Module[\"asm\"][\"Ua\"]).apply(null, arguments);\n        };\n        var stackAlloc = Module[\"stackAlloc\"] = function() {\n          return (stackAlloc = Module[\"stackAlloc\"] = Module[\"asm\"][\"Va\"]).apply(null, arguments);\n        };\n        Module[\"cwrap\"] = cwrap;\n        var calledRun;\n        function ExitStatus(status) {\n          this.name = \"ExitStatus\";\n          this.message = \"Program terminated with exit(\" + status + \")\";\n          this.status = status;\n        }\n        dependenciesFulfilled = function runCaller() {\n          if (!calledRun)\n            run();\n          if (!calledRun)\n            dependenciesFulfilled = runCaller;\n        };\n        function run(args) {\n          args = args || arguments_;\n          if (runDependencies > 0) {\n            return;\n          }\n          preRun();\n          if (runDependencies > 0) {\n            return;\n          }\n          function doRun() {\n            if (calledRun)\n              return;\n            calledRun = true;\n            Module[\"calledRun\"] = true;\n            if (ABORT)\n              return;\n            initRuntime();\n            preMain();\n            readyPromiseResolve(Module);\n            if (Module[\"onRuntimeInitialized\"])\n              Module[\"onRuntimeInitialized\"]();\n            postRun();\n          }\n          if (Module[\"setStatus\"]) {\n            Module[\"setStatus\"](\"Running...\");\n            setTimeout(function() {\n              setTimeout(function() {\n                Module[\"setStatus\"](\"\");\n              }, 1);\n              doRun();\n            }, 1);\n          } else {\n            doRun();\n          }\n        }\n        Module[\"run\"] = run;\n        if (Module[\"preInit\"]) {\n          if (typeof Module[\"preInit\"] == \"function\")\n            Module[\"preInit\"] = [Module[\"preInit\"]];\n          while (Module[\"preInit\"].length > 0) {\n            Module[\"preInit\"].pop()();\n          }\n        }\n        run();\n        return WasmBackendModule2.ready;\n      };\n    }();\n    if (typeof exports === \"object\" && typeof module === \"object\")\n      module.exports = WasmBackendModule;\n    else if (typeof define === \"function\" && define[\"amd\"])\n      define([], function() {\n        return WasmBackendModule;\n      });\n    else if (typeof exports === \"object\")\n      exports[\"WasmBackendModule\"] = WasmBackendModule;\n  }\n});\nvar EPSILON_FLOAT32 = 1e-7;\nvar EPSILON_FLOAT16 = 1e-4;\nvar DataStorage = class {\n  constructor(backend2, dataMover) {\n    this.backend = backend2;\n    this.dataMover = dataMover;\n    this.data = new WeakMap();\n    this.dataIdsCount = 0;\n  }\n  get(dataId) {\n    if (!this.data.has(dataId)) {\n      this.dataMover.moveData(this.backend, dataId);\n    }\n    return this.data.get(dataId);\n  }\n  set(dataId, value) {\n    this.dataIdsCount++;\n    this.data.set(dataId, value);\n  }\n  has(dataId) {\n    return this.data.has(dataId);\n  }\n  delete(dataId) {\n    this.dataIdsCount--;\n    return this.data.delete(dataId);\n  }\n  numDataIds() {\n    return this.dataIdsCount;\n  }\n};\nvar KernelBackend = class {\n  refCount(dataId) {\n    return notYetImplemented(\"refCount\");\n  }\n  incRef(dataId) {\n    return notYetImplemented(\"incRef\");\n  }\n  timerAvailable() {\n    return true;\n  }\n  time(f) {\n    return notYetImplemented(\"time\");\n  }\n  read(dataId) {\n    return notYetImplemented(\"read\");\n  }\n  readSync(dataId) {\n    return notYetImplemented(\"readSync\");\n  }\n  numDataIds() {\n    return notYetImplemented(\"numDataIds\");\n  }\n  disposeData(dataId, force) {\n    return notYetImplemented(\"disposeData\");\n  }\n  write(values, shape, dtype) {\n    return notYetImplemented(\"write\");\n  }\n  move(dataId, values, shape, dtype, refCount) {\n    return notYetImplemented(\"move\");\n  }\n  memory() {\n    return notYetImplemented(\"memory\");\n  }\n  floatPrecision() {\n    return notYetImplemented(\"floatPrecision\");\n  }\n  epsilon() {\n    return this.floatPrecision() === 32 ? EPSILON_FLOAT32 : EPSILON_FLOAT16;\n  }\n  dispose() {\n    return notYetImplemented(\"dispose\");\n  }\n};\nfunction notYetImplemented(kernelName) {\n  throw new Error(`'${kernelName}' not yet implemented or not found in the registry. This kernel may not be supported by the tfjs backend you have chosen`);\n}\nfunction shuffle(array2) {\n  let counter = array2.length;\n  let index = 0;\n  while (counter > 0) {\n    index = Math.random() * counter | 0;\n    counter--;\n    swap(array2, counter, index);\n  }\n}\nfunction shuffleCombo(array2, array22) {\n  if (array2.length !== array22.length) {\n    throw new Error(`Array sizes must match to be shuffled together First array length was ${array2.length}Second array length was ${array22.length}`);\n  }\n  let counter = array2.length;\n  let index = 0;\n  while (counter > 0) {\n    index = Math.random() * counter | 0;\n    counter--;\n    swap(array2, counter, index);\n    swap(array22, counter, index);\n  }\n}\nfunction clamp(min7, x, max7) {\n  return Math.max(min7, Math.min(x, max7));\n}\nfunction nearestLargerEven(val) {\n  return val % 2 === 0 ? val : val + 1;\n}\nfunction swap(object, left, right) {\n  const temp = object[left];\n  object[left] = object[right];\n  object[right] = temp;\n}\nfunction sum(arr) {\n  let sum7 = 0;\n  for (let i = 0; i < arr.length; i++) {\n    sum7 += arr[i];\n  }\n  return sum7;\n}\nfunction randUniform(a, b) {\n  const r = Math.random();\n  return b * r + (1 - r) * a;\n}\nfunction distSquared(a, b) {\n  let result = 0;\n  for (let i = 0; i < a.length; i++) {\n    const diff = Number(a[i]) - Number(b[i]);\n    result += diff * diff;\n  }\n  return result;\n}\nfunction assert(expr, msg) {\n  if (!expr) {\n    throw new Error(typeof msg === \"string\" ? msg : msg());\n  }\n}\nfunction assertShapesMatch(shapeA, shapeB, errorMessagePrefix = \"\") {\n  assert(arraysEqual(shapeA, shapeB), () => errorMessagePrefix + ` Shapes ${shapeA} and ${shapeB} must match`);\n}\nfunction assertNonNull(a) {\n  assert(a != null, () => `The input to the tensor constructor must be a non-null value.`);\n}\nfunction flatten(arr, result = [], skipTypedArray = false) {\n  if (result == null) {\n    result = [];\n  }\n  if (Array.isArray(arr) || isTypedArray(arr) && !skipTypedArray) {\n    for (let i = 0; i < arr.length; ++i) {\n      flatten(arr[i], result, skipTypedArray);\n    }\n  } else {\n    result.push(arr);\n  }\n  return result;\n}\nfunction sizeFromShape(shape) {\n  if (shape.length === 0) {\n    return 1;\n  }\n  let size = shape[0];\n  for (let i = 1; i < shape.length; i++) {\n    size *= shape[i];\n  }\n  return size;\n}\nfunction isScalarShape(shape) {\n  return shape.length === 0;\n}\nfunction arraysEqual(n1, n2) {\n  if (n1 === n2) {\n    return true;\n  }\n  if (n1 == null || n2 == null) {\n    return false;\n  }\n  if (n1.length !== n2.length) {\n    return false;\n  }\n  for (let i = 0; i < n1.length; i++) {\n    if (n1[i] !== n2[i]) {\n      return false;\n    }\n  }\n  return true;\n}\nfunction isInt(a) {\n  return a % 1 === 0;\n}\nfunction tanh(x) {\n  if (Math.tanh != null) {\n    return Math.tanh(x);\n  }\n  if (x === Infinity) {\n    return 1;\n  } else if (x === -Infinity) {\n    return -1;\n  } else {\n    const e2x = Math.exp(2 * x);\n    return (e2x - 1) / (e2x + 1);\n  }\n}\nfunction sizeToSquarishShape(size) {\n  const width = Math.ceil(Math.sqrt(size));\n  return [width, Math.ceil(size / width)];\n}\nfunction createShuffledIndices(n) {\n  const shuffledIndices = new Uint32Array(n);\n  for (let i = 0; i < n; ++i) {\n    shuffledIndices[i] = i;\n  }\n  shuffle(shuffledIndices);\n  return shuffledIndices;\n}\nfunction rightPad(a, size) {\n  if (size <= a.length) {\n    return a;\n  }\n  return a + \" \".repeat(size - a.length);\n}\nfunction repeatedTry(checkFn, delayFn = (counter) => 0, maxCounter) {\n  return new Promise((resolve, reject) => {\n    let tryCount = 0;\n    const tryFn = () => {\n      if (checkFn()) {\n        resolve();\n        return;\n      }\n      tryCount++;\n      const nextBackoff = delayFn(tryCount);\n      if (maxCounter != null && tryCount >= maxCounter) {\n        reject();\n        return;\n      }\n      setTimeout(tryFn, nextBackoff);\n    };\n    tryFn();\n  });\n}\nfunction inferFromImplicitShape(shape, size) {\n  let shapeProd = 1;\n  let implicitIdx = -1;\n  for (let i = 0; i < shape.length; ++i) {\n    if (shape[i] >= 0) {\n      shapeProd *= shape[i];\n    } else if (shape[i] === -1) {\n      if (implicitIdx !== -1) {\n        throw Error(`Shapes can only have 1 implicit size. Found -1 at dim ${implicitIdx} and dim ${i}`);\n      }\n      implicitIdx = i;\n    } else if (shape[i] < 0) {\n      throw Error(`Shapes can not be < 0. Found ${shape[i]} at dim ${i}`);\n    }\n  }\n  if (implicitIdx === -1) {\n    if (size > 0 && size !== shapeProd) {\n      throw Error(`Size(${size}) must match the product of shape ${shape}`);\n    }\n    return shape;\n  }\n  if (shapeProd === 0) {\n    throw Error(`Cannot infer the missing size in [${shape}] when there are 0 elements`);\n  }\n  if (size % shapeProd !== 0) {\n    throw Error(`The implicit shape can't be a fractional number. Got ${size} / ${shapeProd}`);\n  }\n  const newShape = shape.slice();\n  newShape[implicitIdx] = size / shapeProd;\n  return newShape;\n}\nfunction parseAxisParam(axis, shape) {\n  const rank = shape.length;\n  axis = axis == null ? shape.map((s, i) => i) : [].concat(axis);\n  assert(axis.every((ax) => ax >= -rank && ax < rank), () => `All values in axis param must be in range [-${rank}, ${rank}) but got axis ${axis}`);\n  assert(axis.every((ax) => isInt(ax)), () => `All values in axis param must be integers but got axis ${axis}`);\n  return axis.map((a) => a < 0 ? rank + a : a);\n}\nfunction squeezeShape(shape, axis) {\n  const newShape = [];\n  const keptDims = [];\n  const isEmptyArray = axis != null && Array.isArray(axis) && axis.length === 0;\n  const axes = axis == null || isEmptyArray ? null : parseAxisParam(axis, shape).sort();\n  let j = 0;\n  for (let i = 0; i < shape.length; ++i) {\n    if (axes != null) {\n      if (axes[j] === i && shape[i] !== 1) {\n        throw new Error(`Can't squeeze axis ${i} since its dim '${shape[i]}' is not 1`);\n      }\n      if ((axes[j] == null || axes[j] > i) && shape[i] === 1) {\n        newShape.push(shape[i]);\n        keptDims.push(i);\n      }\n      if (axes[j] <= i) {\n        j++;\n      }\n    }\n    if (shape[i] !== 1) {\n      newShape.push(shape[i]);\n      keptDims.push(i);\n    }\n  }\n  return { newShape, keptDims };\n}\nfunction getTypedArrayFromDType(dtype, size) {\n  let values = null;\n  if (dtype == null || dtype === \"float32\") {\n    values = new Float32Array(size);\n  } else if (dtype === \"int32\") {\n    values = new Int32Array(size);\n  } else if (dtype === \"bool\") {\n    values = new Uint8Array(size);\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n  return values;\n}\nfunction getArrayFromDType(dtype, size) {\n  let values = null;\n  if (dtype == null || dtype === \"float32\") {\n    values = new Float32Array(size);\n  } else if (dtype === \"int32\") {\n    values = new Int32Array(size);\n  } else if (dtype === \"bool\") {\n    values = new Uint8Array(size);\n  } else if (dtype === \"string\") {\n    values = new Array(size);\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n  return values;\n}\nfunction checkConversionForErrors(vals, dtype) {\n  for (let i = 0; i < vals.length; i++) {\n    const num = vals[i];\n    if (isNaN(num) || !isFinite(num)) {\n      throw Error(`A tensor of type ${dtype} being uploaded contains ${num}.`);\n    }\n  }\n}\nfunction isValidDtype(dtype) {\n  return dtype === \"bool\" || dtype === \"complex64\" || dtype === \"float32\" || dtype === \"int32\" || dtype === \"string\";\n}\nfunction hasEncodingLoss(oldType, newType) {\n  if (newType === \"complex64\") {\n    return false;\n  }\n  if (newType === \"float32\" && oldType !== \"complex64\") {\n    return false;\n  }\n  if (newType === \"int32\" && oldType !== \"float32\" && oldType !== \"complex64\") {\n    return false;\n  }\n  if (newType === \"bool\" && oldType === \"bool\") {\n    return false;\n  }\n  return true;\n}\nfunction isTypedArray(a) {\n  return a instanceof Float32Array || a instanceof Int32Array || a instanceof Uint8Array || a instanceof Uint8ClampedArray;\n}\nfunction bytesPerElement(dtype) {\n  if (dtype === \"float32\" || dtype === \"int32\") {\n    return 4;\n  } else if (dtype === \"complex64\") {\n    return 8;\n  } else if (dtype === \"bool\") {\n    return 1;\n  } else {\n    throw new Error(`Unknown dtype ${dtype}`);\n  }\n}\nfunction bytesFromStringArray(arr) {\n  if (arr == null) {\n    return 0;\n  }\n  let bytes = 0;\n  arr.forEach((x) => bytes += x.length);\n  return bytes;\n}\nfunction isString(value) {\n  return typeof value === \"string\" || value instanceof String;\n}\nfunction isBoolean(value) {\n  return typeof value === \"boolean\";\n}\nfunction isNumber(value) {\n  return typeof value === \"number\";\n}\nfunction inferDtype(values) {\n  if (Array.isArray(values)) {\n    return inferDtype(values[0]);\n  }\n  if (values instanceof Float32Array) {\n    return \"float32\";\n  } else if (values instanceof Int32Array || values instanceof Uint8Array || values instanceof Uint8ClampedArray) {\n    return \"int32\";\n  } else if (isNumber(values)) {\n    return \"float32\";\n  } else if (isString(values)) {\n    return \"string\";\n  } else if (isBoolean(values)) {\n    return \"bool\";\n  }\n  return \"float32\";\n}\nfunction isFunction(f) {\n  return !!(f && f.constructor && f.call && f.apply);\n}\nfunction nearestDivisor(size, start) {\n  for (let i = start; i < size; ++i) {\n    if (size % i === 0) {\n      return i;\n    }\n  }\n  return size;\n}\nfunction computeStrides(shape) {\n  const rank = shape.length;\n  if (rank < 2) {\n    return [];\n  }\n  const strides = new Array(rank - 1);\n  strides[rank - 2] = shape[rank - 1];\n  for (let i = rank - 3; i >= 0; --i) {\n    strides[i] = strides[i + 1] * shape[i + 1];\n  }\n  return strides;\n}\nfunction createNestedArray(offset, shape, a, isComplex = false) {\n  const ret = new Array();\n  if (shape.length === 1) {\n    const d = shape[0] * (isComplex ? 2 : 1);\n    for (let i = 0; i < d; i++) {\n      ret[i] = a[offset + i];\n    }\n  } else {\n    const d = shape[0];\n    const rest = shape.slice(1);\n    const len = rest.reduce((acc, c) => acc * c) * (isComplex ? 2 : 1);\n    for (let i = 0; i < d; i++) {\n      ret[i] = createNestedArray(offset + i * len, rest, a, isComplex);\n    }\n  }\n  return ret;\n}\nfunction toNestedArray(shape, a, isComplex = false) {\n  if (shape.length === 0) {\n    return a[0];\n  }\n  const size = shape.reduce((acc, c) => acc * c) * (isComplex ? 2 : 1);\n  if (size === 0) {\n    return [];\n  }\n  if (size !== a.length) {\n    throw new Error(`[${shape}] does not match the input size ${a.length}${isComplex ? \" for a complex tensor\" : \"\"}.`);\n  }\n  return createNestedArray(0, shape, a, isComplex);\n}\nfunction makeOnesTypedArray(size, dtype) {\n  const array2 = makeZerosTypedArray(size, dtype);\n  for (let i = 0; i < array2.length; i++) {\n    array2[i] = 1;\n  }\n  return array2;\n}\nfunction makeZerosTypedArray(size, dtype) {\n  if (dtype == null || dtype === \"float32\" || dtype === \"complex64\") {\n    return new Float32Array(size);\n  } else if (dtype === \"int32\") {\n    return new Int32Array(size);\n  } else if (dtype === \"bool\") {\n    return new Uint8Array(size);\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n}\nfunction makeZerosNestedTypedArray(shape, dtype) {\n  const size = shape.reduce((prev, curr) => prev * curr, 1);\n  if (dtype == null || dtype === \"float32\") {\n    return toNestedArray(shape, new Float32Array(size));\n  } else if (dtype === \"int32\") {\n    return toNestedArray(shape, new Int32Array(size));\n  } else if (dtype === \"bool\") {\n    return toNestedArray(shape, new Uint8Array(size));\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n}\nfunction assertNonNegativeIntegerDimensions(shape) {\n  shape.forEach((dimSize) => {\n    assert(Number.isInteger(dimSize) && dimSize >= 0, () => `Tensor must have a shape comprised of positive integers but got shape [${shape}].`);\n  });\n}\nfunction locToIndex(locs, rank, strides) {\n  if (rank === 0) {\n    return 0;\n  } else if (rank === 1) {\n    return locs[0];\n  }\n  let index = locs[locs.length - 1];\n  for (let i = 0; i < locs.length - 1; ++i) {\n    index += strides[i] * locs[i];\n  }\n  return index;\n}\nfunction indexToLoc(index, rank, strides) {\n  if (rank === 0) {\n    return [];\n  } else if (rank === 1) {\n    return [index];\n  }\n  const locs = new Array(rank);\n  for (let i = 0; i < locs.length - 1; ++i) {\n    locs[i] = Math.floor(index / strides[i]);\n    index -= locs[i] * strides[i];\n  }\n  locs[locs.length - 1] = index;\n  return locs;\n}\nfunction isPromise(object) {\n  return object && object.then && typeof object.then === \"function\";\n}\nvar TENSORFLOWJS_FLAGS_PREFIX = \"tfjsflags\";\nvar Environment = class {\n  constructor(global2) {\n    this.global = global2;\n    this.flags = {};\n    this.flagRegistry = {};\n    this.urlFlags = {};\n    this.getQueryParams = getQueryParams;\n    this.populateURLFlags();\n  }\n  setPlatform(platformName, platform) {\n    if (this.platform != null) {\n      if (!(env().getBool(\"IS_TEST\") || env().getBool(\"PROD\"))) {\n        console.warn(`Platform ${this.platformName} has already been set. Overwriting the platform with ${platform}.`);\n      }\n    }\n    this.platformName = platformName;\n    this.platform = platform;\n  }\n  registerFlag(flagName, evaluationFn, setHook) {\n    this.flagRegistry[flagName] = { evaluationFn, setHook };\n    if (this.urlFlags[flagName] != null) {\n      const flagValue = this.urlFlags[flagName];\n      if (!(env().getBool(\"IS_TEST\") || env().getBool(\"PROD\"))) {\n        console.warn(`Setting feature override from URL ${flagName}: ${flagValue}.`);\n      }\n      this.set(flagName, flagValue);\n    }\n  }\n  async getAsync(flagName) {\n    if (flagName in this.flags) {\n      return this.flags[flagName];\n    }\n    this.flags[flagName] = await this.evaluateFlag(flagName);\n    return this.flags[flagName];\n  }\n  get(flagName) {\n    if (flagName in this.flags) {\n      return this.flags[flagName];\n    }\n    const flagValue = this.evaluateFlag(flagName);\n    if (isPromise(flagValue)) {\n      throw new Error(`Flag ${flagName} cannot be synchronously evaluated. Please use getAsync() instead.`);\n    }\n    this.flags[flagName] = flagValue;\n    return this.flags[flagName];\n  }\n  getNumber(flagName) {\n    return this.get(flagName);\n  }\n  getBool(flagName) {\n    return this.get(flagName);\n  }\n  getFlags() {\n    return this.flags;\n  }\n  get features() {\n    return this.flags;\n  }\n  set(flagName, value) {\n    if (this.flagRegistry[flagName] == null) {\n      throw new Error(`Cannot set flag ${flagName} as it has not been registered.`);\n    }\n    this.flags[flagName] = value;\n    if (this.flagRegistry[flagName].setHook != null) {\n      this.flagRegistry[flagName].setHook(value);\n    }\n  }\n  evaluateFlag(flagName) {\n    if (this.flagRegistry[flagName] == null) {\n      throw new Error(`Cannot evaluate flag '${flagName}': no evaluation function found.`);\n    }\n    return this.flagRegistry[flagName].evaluationFn();\n  }\n  setFlags(flags) {\n    this.flags = Object.assign({}, flags);\n  }\n  reset() {\n    this.flags = {};\n    this.urlFlags = {};\n    this.populateURLFlags();\n  }\n  populateURLFlags() {\n    if (typeof this.global === \"undefined\" || typeof this.global.location === \"undefined\" || typeof this.global.location.search === \"undefined\") {\n      return;\n    }\n    const urlParams = this.getQueryParams(this.global.location.search);\n    if (TENSORFLOWJS_FLAGS_PREFIX in urlParams) {\n      const keyValues = urlParams[TENSORFLOWJS_FLAGS_PREFIX].split(\",\");\n      keyValues.forEach((keyValue) => {\n        const [key, value] = keyValue.split(\":\");\n        this.urlFlags[key] = parseValue(key, value);\n      });\n    }\n  }\n};\nfunction getQueryParams(queryString) {\n  const params = {};\n  queryString.replace(/[?&]([^=?&]+)(?:=([^&]*))?/g, (s, ...t) => {\n    decodeParam(params, t[0], t[1]);\n    return t.join(\"=\");\n  });\n  return params;\n}\nfunction decodeParam(params, name, value) {\n  params[decodeURIComponent(name)] = decodeURIComponent(value || \"\");\n}\nfunction parseValue(flagName, value) {\n  value = value.toLowerCase();\n  if (value === \"true\" || value === \"false\") {\n    return value === \"true\";\n  } else if (`${+value}` === value) {\n    return +value;\n  }\n  throw new Error(`Could not parse value flag value ${value} for flag ${flagName}.`);\n}\nfunction env() {\n  return ENV;\n}\nvar ENV = null;\nfunction setEnvironmentGlobal(environment) {\n  ENV = environment;\n}\nvar globalNameSpace;\nfunction getGlobalNamespace() {\n  if (globalNameSpace == null) {\n    let ns;\n    if (typeof window !== \"undefined\") {\n      ns = window;\n    } else if (typeof global !== \"undefined\") {\n      ns = global;\n    } else if (typeof process !== \"undefined\") {\n      ns = process;\n    } else if (typeof self !== \"undefined\") {\n      ns = self;\n    } else {\n      throw new Error(\"Could not find a global object\");\n    }\n    globalNameSpace = ns;\n  }\n  return globalNameSpace;\n}\nfunction getGlobalMap() {\n  const ns = getGlobalNamespace();\n  if (ns._tfGlobals == null) {\n    ns._tfGlobals = new Map();\n  }\n  return ns._tfGlobals;\n}\nfunction getGlobal(key, init2) {\n  const globalMap = getGlobalMap();\n  if (globalMap.has(key)) {\n    return globalMap.get(key);\n  } else {\n    const singleton = init2();\n    globalMap.set(key, singleton);\n    return globalMap.get(key);\n  }\n}\nvar Abs = \"Abs\";\nvar Acos = \"Acos\";\nvar Acosh = \"Acosh\";\nvar Add = \"Add\";\nvar AddN = \"AddN\";\nvar All = \"All\";\nvar Any = \"Any\";\nvar ArgMax = \"ArgMax\";\nvar ArgMin = \"ArgMin\";\nvar Asin = \"Asin\";\nvar Asinh = \"Asinh\";\nvar Atan = \"Atan\";\nvar Atanh = \"Atanh\";\nvar Atan2 = \"Atan2\";\nvar AvgPool = \"AvgPool\";\nvar AvgPoolGrad = \"AvgPoolGrad\";\nvar AvgPool3D = \"AvgPool3D\";\nvar AvgPool3DGrad = \"AvgPool3DGrad\";\nvar BatchMatMul = \"BatchMatMul\";\nvar BatchToSpaceND = \"BatchToSpaceND\";\nvar Bincount = \"Bincount\";\nvar BroadcastTo = \"BroadcastTo\";\nvar BroadcastArgs = \"BroadcastArgs\";\nvar Cast = \"Cast\";\nvar Ceil = \"Ceil\";\nvar ClipByValue = \"ClipByValue\";\nvar Complex = \"Complex\";\nvar ComplexAbs = \"ComplexAbs\";\nvar Concat = \"Concat\";\nvar Conv2D = \"Conv2D\";\nvar Conv2DBackpropFilter = \"Conv2DBackpropFilter\";\nvar Conv2DBackpropInput = \"Conv2DBackpropInput\";\nvar Conv3D = \"Conv3D\";\nvar Conv3DBackpropFilterV2 = \"Conv3DBackpropFilterV2\";\nvar Conv3DBackpropInputV2 = \"Conv3DBackpropInputV2\";\nvar Cos = \"Cos\";\nvar Cosh = \"Cosh\";\nvar Cumsum = \"Cumsum\";\nvar CropAndResize = \"CropAndResize\";\nvar DenseBincount = \"DenseBincount\";\nvar DepthToSpace = \"DepthToSpace\";\nvar DepthwiseConv2dNative = \"DepthwiseConv2dNative\";\nvar DepthwiseConv2dNativeBackpropFilter = \"DepthwiseConv2dNativeBackpropFilter\";\nvar DepthwiseConv2dNativeBackpropInput = \"DepthwiseConv2dNativeBackpropInput\";\nvar Diag = \"Diag\";\nvar Dilation2D = \"Dilation2D\";\nvar Dilation2DBackpropInput = \"Dilation2DBackpropInput\";\nvar Dilation2DBackpropFilter = \"Dilation2DBackpropFilter\";\nvar RealDiv = \"RealDiv\";\nvar Einsum = \"Einsum\";\nvar Elu = \"Elu\";\nvar EluGrad = \"EluGrad\";\nvar Erf = \"Erf\";\nvar Equal = \"Equal\";\nvar Exp = \"Exp\";\nvar ExpandDims = \"ExpandDims\";\nvar Expm1 = \"Expm1\";\nvar FFT = \"FFT\";\nvar Fill = \"Fill\";\nvar FlipLeftRight = \"FlipLeftRight\";\nvar Floor = \"Floor\";\nvar FloorDiv = \"FloorDiv\";\nvar FusedBatchNorm = \"FusedBatchNorm\";\nvar GatherV2 = \"GatherV2\";\nvar GatherNd = \"GatherNd\";\nvar Greater = \"Greater\";\nvar GreaterEqual = \"GreaterEqual\";\nvar Identity = \"Identity\";\nvar IFFT = \"IFFT\";\nvar Imag = \"Imag\";\nvar IsFinite = \"IsFinite\";\nvar IsInf = \"IsInf\";\nvar IsNan = \"IsNan\";\nvar LeakyRelu = \"LeakyRelu\";\nvar Less = \"Less\";\nvar LessEqual = \"LessEqual\";\nvar LinSpace = \"LinSpace\";\nvar Log = \"Log\";\nvar Log1p = \"Log1p\";\nvar LogicalAnd = \"LogicalAnd\";\nvar LogicalNot = \"LogicalNot\";\nvar LogicalOr = \"LogicalOr\";\nvar LogSoftmax = \"LogSoftmax\";\nvar LRN = \"LRN\";\nvar LRNGrad = \"LRNGrad\";\nvar Max = \"Max\";\nvar Maximum = \"Maximum\";\nvar MaxPool = \"MaxPool\";\nvar MaxPoolGrad = \"MaxPoolGrad\";\nvar MaxPool3D = \"MaxPool3D\";\nvar MaxPool3DGrad = \"MaxPool3DGrad\";\nvar MaxPoolWithArgmax = \"MaxPoolWithArgmax\";\nvar Mean = \"Mean\";\nvar Min = \"Min\";\nvar Minimum = \"Minimum\";\nvar MirrorPad = \"MirrorPad\";\nvar Mod = \"Mod\";\nvar Multinomial = \"Multinomial\";\nvar Multiply = \"Multiply\";\nvar Neg = \"Neg\";\nvar NotEqual = \"NotEqual\";\nvar NonMaxSuppressionV3 = \"NonMaxSuppressionV3\";\nvar NonMaxSuppressionV4 = \"NonMaxSuppressionV4\";\nvar NonMaxSuppressionV5 = \"NonMaxSuppressionV5\";\nvar OnesLike = \"OnesLike\";\nvar OneHot = \"OneHot\";\nvar Pack = \"Pack\";\nvar PadV2 = \"PadV2\";\nvar Pool = \"Pool\";\nvar Pow = \"Pow\";\nvar Prelu = \"Prelu\";\nvar Prod = \"Prod\";\nvar Range = \"Range\";\nvar Real = \"Real\";\nvar Reciprocal = \"Reciprocal\";\nvar Relu = \"Relu\";\nvar Reshape = \"Reshape\";\nvar ResizeNearestNeighbor = \"ResizeNearestNeighbor\";\nvar ResizeNearestNeighborGrad = \"ResizeNearestNeighborGrad\";\nvar ResizeBilinear = \"ResizeBilinear\";\nvar ResizeBilinearGrad = \"ResizeBilinearGrad\";\nvar Relu6 = \"Relu6\";\nvar Reverse = \"Reverse\";\nvar Round = \"Round\";\nvar Rsqrt = \"Rsqrt\";\nvar ScatterNd = \"ScatterNd\";\nvar Select = \"Select\";\nvar Selu = \"Selu\";\nvar Slice = \"Slice\";\nvar Sin = \"Sin\";\nvar Sinh = \"Sinh\";\nvar Sign = \"Sign\";\nvar Sigmoid = \"Sigmoid\";\nvar Softplus = \"Softplus\";\nvar Sqrt = \"Sqrt\";\nvar Sum = \"Sum\";\nvar SpaceToBatchND = \"SpaceToBatchND\";\nvar SplitV = \"SplitV\";\nvar Softmax = \"Softmax\";\nvar SparseFillEmptyRows = \"SparseFillEmptyRows\";\nvar SparseReshape = \"SparseReshape\";\nvar SparseSegmentMean = \"SparseSegmentMean\";\nvar SparseSegmentSum = \"SparseSegmentSum\";\nvar SparseToDense = \"SparseToDense\";\nvar SquaredDifference = \"SquaredDifference\";\nvar Square = \"Square\";\nvar StridedSlice = \"StridedSlice\";\nvar StringNGrams = \"StringNGrams\";\nvar StringSplit = \"StringSplit\";\nvar StringToHashBucketFast = \"StringToHashBucketFast\";\nvar Sub = \"Sub\";\nvar Tan = \"Tan\";\nvar Tanh = \"Tanh\";\nvar Tile = \"Tile\";\nvar TopK = \"TopK\";\nvar Transform = \"Transform\";\nvar Transpose = \"Transpose\";\nvar Unique = \"Unique\";\nvar Unpack = \"Unpack\";\nvar UnsortedSegmentSum = \"UnsortedSegmentSum\";\nvar ZerosLike = \"ZerosLike\";\nvar Step = \"Step\";\nvar FromPixels = \"FromPixels\";\nvar RotateWithOffset = \"RotateWithOffset\";\nvar _FusedMatMul = \"_FusedMatMul\";\nvar FusedConv2D = \"FusedConv2D\";\nvar FusedDepthwiseConv2D = \"FusedDepthwiseConv2D\";\nfunction warn(...msg) {\n  if (!(env().getBool(\"IS_TEST\") || env().getBool(\"PROD\"))) {\n    console.warn(...msg);\n  }\n}\nfunction log(...msg) {\n  if (!(env().getBool(\"IS_TEST\") || env().getBool(\"PROD\"))) {\n    console.log(...msg);\n  }\n}\nvar kernelRegistry = getGlobal(\"kernelRegistry\", () => new Map());\nvar gradRegistry = getGlobal(\"gradRegistry\", () => new Map());\nfunction getKernel(kernelName, backendName) {\n  const key = makeKey(kernelName, backendName);\n  return kernelRegistry.get(key);\n}\nfunction getGradient(kernelName) {\n  return gradRegistry.get(kernelName);\n}\nfunction getKernelsForBackend(backendName) {\n  const it = kernelRegistry.entries();\n  const result = [];\n  while (true) {\n    const { done, value } = it.next();\n    if (done) {\n      break;\n    }\n    const [key, config] = value;\n    const [backend2] = key.split(\"_\");\n    if (backend2 === backendName) {\n      result.push(config);\n    }\n  }\n  return result;\n}\nfunction registerKernel(config) {\n  const { kernelName, backendName } = config;\n  const key = makeKey(kernelName, backendName);\n  if (kernelRegistry.has(key)) {\n    warn(`The kernel '${kernelName}' for backend '${backendName}' is already registered`);\n  }\n  kernelRegistry.set(key, config);\n}\nfunction registerGradient(config) {\n  const { kernelName } = config;\n  if (gradRegistry.has(kernelName)) {\n    if (env().getBool(\"DEBUG\")) {\n      warn(`Overriding the gradient for '${kernelName}'`);\n    }\n  }\n  gradRegistry.set(kernelName, config);\n}\nfunction unregisterKernel(kernelName, backendName) {\n  const key = makeKey(kernelName, backendName);\n  if (!kernelRegistry.has(key)) {\n    throw new Error(`The kernel '${kernelName}' for backend '${backendName}' is not registered`);\n  }\n  kernelRegistry.delete(key);\n}\nfunction unregisterGradient(kernelName) {\n  if (!gradRegistry.has(kernelName)) {\n    throw new Error(`The gradient '${kernelName}' for backend is not registered`);\n  }\n  gradRegistry.delete(kernelName);\n}\nfunction copyRegisteredKernels(registeredBackendName, newBackendName) {\n  const kernels = getKernelsForBackend(registeredBackendName);\n  kernels.forEach((kernelConfig) => {\n    const newKernelConfig = Object.assign({}, kernelConfig, { backendName: newBackendName });\n    registerKernel(newKernelConfig);\n  });\n}\nfunction makeKey(kernelName, backendName) {\n  return `${backendName}_${kernelName}`;\n}\nvar util_exports = {};\n__export(util_exports, {\n  arraysEqual: () => arraysEqual,\n  assert: () => assert,\n  assertNonNegativeIntegerDimensions: () => assertNonNegativeIntegerDimensions,\n  assertNonNull: () => assertNonNull,\n  assertShapesMatch: () => assertShapesMatch,\n  bytesFromStringArray: () => bytesFromStringArray,\n  bytesPerElement: () => bytesPerElement,\n  checkConversionForErrors: () => checkConversionForErrors,\n  clamp: () => clamp,\n  computeStrides: () => computeStrides,\n  createScalarValue: () => createScalarValue,\n  createShuffledIndices: () => createShuffledIndices,\n  decodeString: () => decodeString,\n  distSquared: () => distSquared,\n  encodeString: () => encodeString,\n  fetch: () => fetch3,\n  fingerPrint64: () => fingerPrint64,\n  flatten: () => flatten,\n  getArrayFromDType: () => getArrayFromDType,\n  getTypedArrayFromDType: () => getTypedArrayFromDType,\n  hasEncodingLoss: () => hasEncodingLoss,\n  hexToLong: () => hexToLong,\n  indexToLoc: () => indexToLoc,\n  inferDtype: () => inferDtype,\n  inferFromImplicitShape: () => inferFromImplicitShape,\n  isBoolean: () => isBoolean,\n  isFunction: () => isFunction,\n  isInt: () => isInt,\n  isNumber: () => isNumber,\n  isPromise: () => isPromise,\n  isScalarShape: () => isScalarShape,\n  isString: () => isString,\n  isTypedArray: () => isTypedArray,\n  isValidDtype: () => isValidDtype,\n  locToIndex: () => locToIndex,\n  makeOnesTypedArray: () => makeOnesTypedArray,\n  makeZerosNestedTypedArray: () => makeZerosNestedTypedArray,\n  makeZerosTypedArray: () => makeZerosTypedArray,\n  nearestDivisor: () => nearestDivisor,\n  nearestLargerEven: () => nearestLargerEven,\n  now: () => now,\n  parseAxisParam: () => parseAxisParam,\n  randUniform: () => randUniform,\n  repeatedTry: () => repeatedTry,\n  rightPad: () => rightPad,\n  shuffle: () => shuffle,\n  shuffleCombo: () => shuffleCombo,\n  sizeFromShape: () => sizeFromShape,\n  sizeToSquarishShape: () => sizeToSquarishShape,\n  squeezeShape: () => squeezeShape,\n  sum: () => sum,\n  swap: () => swap,\n  tanh: () => tanh,\n  toNestedArray: () => toNestedArray,\n  toTypedArray: () => toTypedArray\n});\nvar LongExports = __toModule(require_long());\nvar Long = LongExports.default || LongExports;\nfunction hexToLong(hex) {\n  return Long.fromString(hex, true, 16);\n}\nvar k0 = hexToLong(\"c3a5c85c97cb3127\");\nvar k1 = hexToLong(\"b492b66fbe98f273\");\nvar k2 = hexToLong(\"9ae16a3b2f90404f\");\nfunction shiftMix(val) {\n  return val.xor(val.shru(47));\n}\nfunction fetch2(s, offset, numBytes) {\n  const bytes = s.slice(offset, offset + numBytes);\n  return Long.fromBytes(Array.from(bytes), true, true);\n}\nfunction fetch64(s, offset) {\n  return fetch2(s, offset, 8);\n}\nfunction fetch32(s, offset) {\n  return fetch2(s, offset, 4);\n}\nfunction rotate64(val, shift) {\n  return shift === 0 ? val : val.shru(shift).or(val.shl(64 - shift));\n}\nfunction hashLen16(u, v, mul2 = hexToLong(\"9ddfea08eb382d69\")) {\n  let a = u.xor(v).mul(mul2);\n  a = a.xor(a.shru(47));\n  let b = v.xor(a).mul(mul2);\n  b = b.xor(b.shru(47));\n  b = b.mul(mul2);\n  return b;\n}\nfunction weakHashLen32WithSeeds(w, x, y, z, a, b) {\n  a = a.add(w);\n  b = rotate64(b.add(a).add(z), 21);\n  const c = a;\n  a = a.add(x);\n  a = a.add(y);\n  b = b.add(rotate64(a, 44));\n  return [a.add(z), b.add(c)];\n}\nfunction weakHashLen32WithSeedsStr(s, offset, a, b) {\n  return weakHashLen32WithSeeds(fetch64(s, offset), fetch64(s, offset + 8), fetch64(s, offset + 16), fetch64(s, offset + 24), a, b);\n}\nfunction hashLen0to16(s, len = s.length) {\n  if (len >= 8) {\n    const mul2 = k2.add(len * 2);\n    const a = fetch64(s, 0).add(k2);\n    const b = fetch64(s, len - 8);\n    const c = rotate64(b, 37).mul(mul2).add(a);\n    const d = rotate64(a, 25).add(b).mul(mul2);\n    return hashLen16(c, d, mul2);\n  }\n  if (len >= 4) {\n    const mul2 = k2.add(len * 2);\n    const a = fetch32(s, 0);\n    return hashLen16(a.shl(3).add(len), fetch32(s, len - 4), mul2);\n  }\n  if (len > 0) {\n    const a = s[0];\n    const b = s[len >> 1];\n    const c = s[len - 1];\n    const y = a + (b << 8);\n    const z = len + (c << 2);\n    return shiftMix(k2.mul(y).xor(k0.mul(z))).mul(k2);\n  }\n  return k2;\n}\nfunction hashLen17to32(s, len = s.length) {\n  const mul2 = k2.add(len * 2);\n  const a = fetch64(s, 0).mul(k1);\n  const b = fetch64(s, 8);\n  const c = fetch64(s, len - 8).mul(mul2);\n  const d = fetch64(s, len - 16).mul(k2);\n  return hashLen16(rotate64(a.add(b), 43).add(rotate64(c, 30)).add(d), a.add(rotate64(b.add(k2), 18)).add(c), mul2);\n}\nfunction hashLen33to64(s, len = s.length) {\n  const mul2 = k2.add(len * 2);\n  const a = fetch64(s, 0).mul(k2);\n  const b = fetch64(s, 8);\n  const c = fetch64(s, len - 8).mul(mul2);\n  const d = fetch64(s, len - 16).mul(k2);\n  const y = rotate64(a.add(b), 43).add(rotate64(c, 30)).add(d);\n  const z = hashLen16(y, a.add(rotate64(b.add(k2), 18)).add(c), mul2);\n  const e = fetch64(s, 16).mul(mul2);\n  const f = fetch64(s, 24);\n  const g = y.add(fetch64(s, len - 32)).mul(mul2);\n  const h = z.add(fetch64(s, len - 24)).mul(mul2);\n  return hashLen16(rotate64(e.add(f), 43).add(rotate64(g, 30)).add(h), e.add(rotate64(f.add(a), 18)).add(g), mul2);\n}\nfunction fingerPrint64(s, len = s.length) {\n  const seed = Long.fromNumber(81, true);\n  if (len <= 32) {\n    if (len <= 16) {\n      return hashLen0to16(s, len);\n    } else {\n      return hashLen17to32(s, len);\n    }\n  } else if (len <= 64) {\n    return hashLen33to64(s, len);\n  }\n  let x = seed;\n  let y = seed.mul(k1).add(113);\n  let z = shiftMix(y.mul(k2).add(113)).mul(k2);\n  let v = [Long.UZERO, Long.UZERO];\n  let w = [Long.UZERO, Long.UZERO];\n  x = x.mul(k2).add(fetch64(s, 0));\n  let offset = 0;\n  const end = (len - 1 >> 6) * 64;\n  const last64 = end + (len - 1 & 63) - 63;\n  do {\n    x = rotate64(x.add(y).add(v[0]).add(fetch64(s, offset + 8)), 37).mul(k1);\n    y = rotate64(y.add(v[1]).add(fetch64(s, offset + 48)), 42).mul(k1);\n    x = x.xor(w[1]);\n    y = y.add(v[0]).add(fetch64(s, offset + 40));\n    z = rotate64(z.add(w[0]), 33).mul(k1);\n    v = weakHashLen32WithSeedsStr(s, offset, v[1].mul(k1), x.add(w[0]));\n    w = weakHashLen32WithSeedsStr(s, offset + 32, z.add(w[1]), y.add(fetch64(s, offset + 16)));\n    [z, x] = [x, z];\n    offset += 64;\n  } while (offset !== end);\n  const mul2 = k1.add(z.and(255).shl(1));\n  offset = last64;\n  w[0] = w[0].add(len - 1 & 63);\n  v[0] = v[0].add(w[0]);\n  w[0] = w[0].add(v[0]);\n  x = rotate64(x.add(y).add(v[0]).add(fetch64(s, offset + 8)), 37).mul(mul2);\n  y = rotate64(y.add(v[1]).add(fetch64(s, offset + 48)), 42).mul(mul2);\n  x = x.xor(w[1].mul(9));\n  y = y.add(v[0].mul(9).add(fetch64(s, offset + 40)));\n  z = rotate64(z.add(w[0]), 33).mul(mul2);\n  v = weakHashLen32WithSeedsStr(s, offset, v[1].mul(mul2), x.add(w[0]));\n  w = weakHashLen32WithSeedsStr(s, offset + 32, z.add(w[1]), y.add(fetch64(s, offset + 16)));\n  [z, x] = [x, z];\n  return hashLen16(hashLen16(v[0], w[0], mul2).add(shiftMix(y).mul(k0)).add(z), hashLen16(v[1], w[1], mul2).add(x), mul2);\n}\nfunction createScalarValue(value, dtype) {\n  if (dtype === \"string\") {\n    return encodeString(value);\n  }\n  return toTypedArray([value], dtype);\n}\nfunction noConversionNeeded(a, dtype) {\n  return a instanceof Float32Array && dtype === \"float32\" || a instanceof Int32Array && dtype === \"int32\" || a instanceof Uint8Array && dtype === \"bool\";\n}\nfunction toTypedArray(a, dtype) {\n  if (dtype === \"string\") {\n    throw new Error(\"Cannot convert a string[] to a TypedArray\");\n  }\n  if (Array.isArray(a)) {\n    a = flatten(a);\n  }\n  if (env().getBool(\"DEBUG\")) {\n    checkConversionForErrors(a, dtype);\n  }\n  if (noConversionNeeded(a, dtype)) {\n    return a;\n  }\n  if (dtype == null || dtype === \"float32\" || dtype === \"complex64\") {\n    return new Float32Array(a);\n  } else if (dtype === \"int32\") {\n    return new Int32Array(a);\n  } else if (dtype === \"bool\") {\n    const bool = new Uint8Array(a.length);\n    for (let i = 0; i < bool.length; ++i) {\n      if (Math.round(a[i]) !== 0) {\n        bool[i] = 1;\n      }\n    }\n    return bool;\n  } else {\n    throw new Error(`Unknown data type ${dtype}`);\n  }\n}\nfunction now() {\n  return env().platform.now();\n}\nfunction fetch3(path, requestInits) {\n  return env().platform.fetch(path, requestInits);\n}\nfunction encodeString(s, encoding = \"utf-8\") {\n  encoding = encoding || \"utf-8\";\n  return env().platform.encode(s, encoding);\n}\nfunction decodeString(bytes, encoding = \"utf-8\") {\n  encoding = encoding || \"utf-8\";\n  return env().platform.decode(bytes, encoding);\n}\nvar Profiler = class {\n  constructor(backendTimer, logger) {\n    this.backendTimer = backendTimer;\n    this.logger = logger;\n    if (logger == null) {\n      this.logger = new Logger();\n    }\n  }\n  profileKernel(kernelName, inputs, f) {\n    let outputs;\n    const holdResultWrapperFn = () => {\n      outputs = f();\n    };\n    let timer;\n    const start = now();\n    if (this.backendTimer.timerAvailable()) {\n      timer = this.backendTimer.time(holdResultWrapperFn);\n    } else {\n      holdResultWrapperFn();\n      for (const output of outputs) {\n        output.dataSync();\n      }\n      timer = Promise.resolve({ kernelMs: now() - start });\n    }\n    if (env().getBool(\"CHECK_COMPUTATION_FOR_ERRORS\")) {\n      for (let i = 0; i < outputs.length; i++) {\n        const output = outputs[i];\n        output.data().then((tensorVals) => {\n          checkComputationForErrors(tensorVals, output.dtype, kernelName);\n        });\n      }\n    }\n    const kernelProfile = {\n      kernelName,\n      outputs,\n      inputs,\n      timeMs: timer.then((timing) => timing.kernelMs),\n      extraInfo: timer.then((timing) => timing.getExtraProfileInfo != null ? timing.getExtraProfileInfo() : \"\")\n    };\n    return kernelProfile;\n  }\n  logKernelProfile(kernelProfile) {\n    const { kernelName, outputs, timeMs, inputs, extraInfo } = kernelProfile;\n    outputs.forEach((result) => {\n      Promise.all([result.data(), timeMs, extraInfo]).then((valueContainer) => {\n        this.logger.logKernelProfile(kernelName, result, valueContainer[0], valueContainer[1], inputs, valueContainer[2]);\n      });\n    });\n  }\n};\nfunction checkComputationForErrors(vals, dtype, kernelName) {\n  if (dtype !== \"float32\") {\n    return false;\n  }\n  for (let i = 0; i < vals.length; i++) {\n    const num = vals[i];\n    if (isNaN(num) || !isFinite(num)) {\n      console.warn(`Found ${num} in the result of '${kernelName}'`);\n      return true;\n    }\n  }\n  return false;\n}\nvar Logger = class {\n  logKernelProfile(name, result, vals, timeMs, inputs, extraInfo) {\n    const time2 = typeof timeMs === \"number\" ? rightPad(`${timeMs}ms`, 9) : timeMs[\"error\"];\n    const paddedName = rightPad(name, 25);\n    const rank = result.rank;\n    const size = result.size;\n    const shape = rightPad(result.shape.toString(), 14);\n    let inputShapesDescription = \"\";\n    for (const name2 in inputs) {\n      const input2 = inputs[name2];\n      if (input2 != null) {\n        const inputShape = input2.shape || result.shape;\n        const inputRank = inputShape.length;\n        inputShapesDescription += `${name2}: ${inputRank}D ${inputRank > 0 ? inputShape : \"\"} `;\n      }\n    }\n    console.log(`%c${paddedName}\t%c${time2}\t%c${rank}D ${shape}\t%c${size}\t%c${inputShapesDescription}\t%c${extraInfo}`, \"font-weight:bold\", \"color:red\", \"color:blue\", \"color: orange\", \"color: green\", \"color: steelblue\");\n  }\n};\nfunction getFilteredNodesXToY(tape, xs, y) {\n  const tensorsFromX = {};\n  const nodesFromX = {};\n  for (let i = 0; i < xs.length; i++) {\n    tensorsFromX[xs[i].id] = true;\n  }\n  for (let i = 0; i < tape.length; i++) {\n    const node = tape[i];\n    const nodeInputs = node.inputs;\n    for (const inputName in nodeInputs) {\n      const input2 = nodeInputs[inputName];\n      let anyInputFromX = false;\n      for (let j = 0; j < xs.length; j++) {\n        if (tensorsFromX[input2.id]) {\n          node.outputs.forEach((output) => tensorsFromX[output.id] = true);\n          anyInputFromX = true;\n          nodesFromX[node.id] = true;\n          break;\n        }\n      }\n      if (anyInputFromX) {\n        break;\n      }\n    }\n  }\n  const tensorsLeadToY = {};\n  tensorsLeadToY[y.id] = true;\n  const nodesToY = {};\n  for (let i = tape.length - 1; i >= 0; i--) {\n    const node = tape[i];\n    const nodeInputs = node.inputs;\n    for (let j = 0; j < node.outputs.length; j++) {\n      if (tensorsLeadToY[node.outputs[j].id]) {\n        for (const inputName in nodeInputs) {\n          tensorsLeadToY[nodeInputs[inputName].id] = true;\n          nodesToY[node.id] = true;\n        }\n        break;\n      }\n    }\n  }\n  const filteredTape = [];\n  for (let i = 0; i < tape.length; i++) {\n    const node = tape[i];\n    if (nodesFromX[node.id] && nodesToY[node.id]) {\n      const prunedInputs = {};\n      for (const inputName in node.inputs) {\n        const nodeInput = node.inputs[inputName];\n        if (tensorsFromX[nodeInput.id]) {\n          prunedInputs[inputName] = nodeInput;\n        }\n      }\n      const prunedNode = Object.assign({}, node);\n      prunedNode.inputs = prunedInputs;\n      prunedNode.outputs = node.outputs;\n      filteredTape.push(prunedNode);\n    }\n  }\n  return filteredTape;\n}\nfunction backpropagateGradients(tensorAccumulatedGradientMap, filteredTape, tidy2, add5) {\n  for (let i = filteredTape.length - 1; i >= 0; i--) {\n    const node = filteredTape[i];\n    const dys = [];\n    node.outputs.forEach((o) => {\n      const gradTensor = tensorAccumulatedGradientMap[o.id];\n      if (gradTensor != null) {\n        dys.push(gradTensor);\n      } else {\n        dys.push(null);\n      }\n    });\n    if (node.gradient == null) {\n      throw new Error(`Cannot compute gradient: gradient function not found for ${node.kernelName}.`);\n    }\n    const inputGradients = node.gradient(dys);\n    for (const inputName in node.inputs) {\n      if (!(inputName in inputGradients)) {\n        throw new Error(`Cannot backprop through input ${inputName}. Available gradients found: ${Object.keys(inputGradients)}.`);\n      }\n      const dx = tidy2(() => inputGradients[inputName]());\n      if (dx.dtype !== \"float32\") {\n        throw new Error(`Error in gradient for op ${node.kernelName}. The gradient of input ${inputName} must have 'float32' dtype, but has '${dx.dtype}'`);\n      }\n      const x = node.inputs[inputName];\n      if (!arraysEqual(dx.shape, x.shape)) {\n        throw new Error(`Error in gradient for op ${node.kernelName}. The gradient of input '${inputName}' has shape '${dx.shape}', which does not match the shape of the input '${x.shape}'`);\n      }\n      if (tensorAccumulatedGradientMap[x.id] == null) {\n        tensorAccumulatedGradientMap[x.id] = dx;\n      } else {\n        const curGradient = tensorAccumulatedGradientMap[x.id];\n        tensorAccumulatedGradientMap[x.id] = add5(curGradient, dx);\n        curGradient.dispose();\n      }\n    }\n  }\n}\nvar FORMAT_LIMIT_NUM_VALS = 20;\nvar FORMAT_NUM_FIRST_LAST_VALS = 3;\nvar FORMAT_NUM_SIG_DIGITS = 7;\nfunction tensorToString(vals, shape, dtype, verbose) {\n  const strides = computeStrides(shape);\n  const padPerCol = computeMaxSizePerColumn(vals, shape, dtype, strides);\n  const rank = shape.length;\n  const valsLines = subTensorToString(vals, shape, dtype, strides, padPerCol);\n  const lines = [\"Tensor\"];\n  if (verbose) {\n    lines.push(`  dtype: ${dtype}`);\n    lines.push(`  rank: ${rank}`);\n    lines.push(`  shape: [${shape}]`);\n    lines.push(`  values:`);\n  }\n  lines.push(valsLines.map((l) => \"    \" + l).join(\"\\n\"));\n  return lines.join(\"\\n\");\n}\nfunction computeMaxSizePerColumn(vals, shape, dtype, strides) {\n  const n = sizeFromShape(shape);\n  const numCols = strides[strides.length - 1];\n  const padPerCol = new Array(numCols).fill(0);\n  const rank = shape.length;\n  const valuesOrTuples = dtype === \"complex64\" ? createComplexTuples(vals) : vals;\n  if (rank > 1) {\n    for (let row = 0; row < n / numCols; row++) {\n      const offset = row * numCols;\n      for (let j = 0; j < numCols; j++) {\n        padPerCol[j] = Math.max(padPerCol[j], valToString(valuesOrTuples[offset + j], 0, dtype).length);\n      }\n    }\n  }\n  return padPerCol;\n}\nfunction valToString(val, pad3, dtype) {\n  let valStr;\n  if (Array.isArray(val)) {\n    valStr = `${parseFloat(val[0].toFixed(FORMAT_NUM_SIG_DIGITS))} + ${parseFloat(val[1].toFixed(FORMAT_NUM_SIG_DIGITS))}j`;\n  } else if (isString(val)) {\n    valStr = `'${val}'`;\n  } else if (dtype === \"bool\") {\n    valStr = boolNumToString(val);\n  } else {\n    valStr = parseFloat(val.toFixed(FORMAT_NUM_SIG_DIGITS)).toString();\n  }\n  return rightPad(valStr, pad3);\n}\nfunction boolNumToString(v) {\n  return v === 0 ? \"false\" : \"true\";\n}\nfunction subTensorToString(vals, shape, dtype, strides, padPerCol, isLast = true) {\n  const storagePerElement = dtype === \"complex64\" ? 2 : 1;\n  const size = shape[0];\n  const rank = shape.length;\n  if (rank === 0) {\n    if (dtype === \"complex64\") {\n      const complexTuple = createComplexTuples(vals);\n      return [valToString(complexTuple[0], 0, dtype)];\n    }\n    if (dtype === \"bool\") {\n      return [boolNumToString(vals[0])];\n    }\n    return [vals[0].toString()];\n  }\n  if (rank === 1) {\n    if (size > FORMAT_LIMIT_NUM_VALS) {\n      const firstValsSize = FORMAT_NUM_FIRST_LAST_VALS * storagePerElement;\n      let firstVals = Array.from(vals.slice(0, firstValsSize));\n      let lastVals = Array.from(vals.slice((size - FORMAT_NUM_FIRST_LAST_VALS) * storagePerElement, size * storagePerElement));\n      if (dtype === \"complex64\") {\n        firstVals = createComplexTuples(firstVals);\n        lastVals = createComplexTuples(lastVals);\n      }\n      return [\n        \"[\" + firstVals.map((x, i) => valToString(x, padPerCol[i], dtype)).join(\", \") + \", ..., \" + lastVals.map((x, i) => valToString(x, padPerCol[size - FORMAT_NUM_FIRST_LAST_VALS + i], dtype)).join(\", \") + \"]\"\n      ];\n    }\n    const displayVals = dtype === \"complex64\" ? createComplexTuples(vals) : Array.from(vals);\n    return [\n      \"[\" + displayVals.map((x, i) => valToString(x, padPerCol[i], dtype)).join(\", \") + \"]\"\n    ];\n  }\n  const subshape = shape.slice(1);\n  const substrides = strides.slice(1);\n  const stride = strides[0] * storagePerElement;\n  const lines = [];\n  if (size > FORMAT_LIMIT_NUM_VALS) {\n    for (let i = 0; i < FORMAT_NUM_FIRST_LAST_VALS; i++) {\n      const start = i * stride;\n      const end = start + stride;\n      lines.push(...subTensorToString(vals.slice(start, end), subshape, dtype, substrides, padPerCol, false));\n    }\n    lines.push(\"...\");\n    for (let i = size - FORMAT_NUM_FIRST_LAST_VALS; i < size; i++) {\n      const start = i * stride;\n      const end = start + stride;\n      lines.push(...subTensorToString(vals.slice(start, end), subshape, dtype, substrides, padPerCol, i === size - 1));\n    }\n  } else {\n    for (let i = 0; i < size; i++) {\n      const start = i * stride;\n      const end = start + stride;\n      lines.push(...subTensorToString(vals.slice(start, end), subshape, dtype, substrides, padPerCol, i === size - 1));\n    }\n  }\n  const sep = rank === 2 ? \",\" : \"\";\n  lines[0] = \"[\" + lines[0] + sep;\n  for (let i = 1; i < lines.length - 1; i++) {\n    lines[i] = \" \" + lines[i] + sep;\n  }\n  let newLineSep = \",\\n\";\n  for (let i = 2; i < rank; i++) {\n    newLineSep += \"\\n\";\n  }\n  lines[lines.length - 1] = \" \" + lines[lines.length - 1] + \"]\" + (isLast ? \"\" : newLineSep);\n  return lines;\n}\nfunction createComplexTuples(vals) {\n  const complexTuples = [];\n  for (let i = 0; i < vals.length; i += 2) {\n    complexTuples.push([vals[i], vals[i + 1]]);\n  }\n  return complexTuples;\n}\nvar TensorBuffer = class {\n  constructor(shape, dtype, values) {\n    this.dtype = dtype;\n    this.shape = shape.slice();\n    this.size = sizeFromShape(shape);\n    if (values != null) {\n      const n = values.length;\n      assert(n === this.size, () => `Length of values '${n}' does not match the size inferred by the shape '${this.size}'.`);\n    }\n    if (dtype === \"complex64\") {\n      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).`);\n    }\n    this.values = values || getArrayFromDType(dtype, this.size);\n    this.strides = computeStrides(shape);\n  }\n  set(value, ...locs) {\n    if (locs.length === 0) {\n      locs = [0];\n    }\n    assert(locs.length === this.rank, () => `The number of provided coordinates (${locs.length}) must match the rank (${this.rank})`);\n    const index = this.locToIndex(locs);\n    this.values[index] = value;\n  }\n  get(...locs) {\n    if (locs.length === 0) {\n      locs = [0];\n    }\n    let i = 0;\n    for (const loc of locs) {\n      if (loc < 0 || loc >= this.shape[i]) {\n        const msg = `Requested out of range element at ${locs}.   Buffer shape=${this.shape}`;\n        throw new Error(msg);\n      }\n      i++;\n    }\n    let index = locs[locs.length - 1];\n    for (let i2 = 0; i2 < locs.length - 1; ++i2) {\n      index += this.strides[i2] * locs[i2];\n    }\n    return this.values[index];\n  }\n  locToIndex(locs) {\n    if (this.rank === 0) {\n      return 0;\n    } else if (this.rank === 1) {\n      return locs[0];\n    }\n    let index = locs[locs.length - 1];\n    for (let i = 0; i < locs.length - 1; ++i) {\n      index += this.strides[i] * locs[i];\n    }\n    return index;\n  }\n  indexToLoc(index) {\n    if (this.rank === 0) {\n      return [];\n    } else if (this.rank === 1) {\n      return [index];\n    }\n    const locs = new Array(this.shape.length);\n    for (let i = 0; i < locs.length - 1; ++i) {\n      locs[i] = Math.floor(index / this.strides[i]);\n      index -= locs[i] * this.strides[i];\n    }\n    locs[locs.length - 1] = index;\n    return locs;\n  }\n  get rank() {\n    return this.shape.length;\n  }\n  toTensor() {\n    return trackerFn().makeTensor(this.values, this.shape, this.dtype);\n  }\n};\nvar trackerFn = null;\nvar opHandler = null;\nvar deprecationWarningFn = null;\nfunction setTensorTracker(fn) {\n  trackerFn = fn;\n}\nfunction setOpHandler(handler) {\n  opHandler = handler;\n}\nfunction setDeprecationWarningFn(fn) {\n  deprecationWarningFn = fn;\n}\nvar Tensor = class {\n  constructor(shape, dtype, dataId, id) {\n    this.kept = false;\n    this.isDisposedInternal = false;\n    this.shape = shape.slice();\n    this.dtype = dtype || \"float32\";\n    this.size = sizeFromShape(shape);\n    this.strides = computeStrides(shape);\n    this.dataId = dataId;\n    this.id = id;\n    this.rankType = this.rank < 5 ? this.rank.toString() : \"higher\";\n  }\n  get rank() {\n    return this.shape.length;\n  }\n  async buffer() {\n    const vals = await this.data();\n    return opHandler.buffer(this.shape, this.dtype, vals);\n  }\n  bufferSync() {\n    return opHandler.buffer(this.shape, this.dtype, this.dataSync());\n  }\n  async array() {\n    const vals = await this.data();\n    return toNestedArray(this.shape, vals, this.dtype === \"complex64\");\n  }\n  arraySync() {\n    return toNestedArray(this.shape, this.dataSync(), this.dtype === \"complex64\");\n  }\n  async data() {\n    this.throwIfDisposed();\n    const data = trackerFn().read(this.dataId);\n    if (this.dtype === \"string\") {\n      const bytes = await data;\n      try {\n        return bytes.map((b) => decodeString(b));\n      } catch (e) {\n        throw new Error(\"Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().\");\n      }\n    }\n    return data;\n  }\n  dataSync() {\n    this.throwIfDisposed();\n    const data = trackerFn().readSync(this.dataId);\n    if (this.dtype === \"string\") {\n      try {\n        return data.map((b) => decodeString(b));\n      } catch (e) {\n        throw new Error(\"Failed to decode the string bytes into utf-8. To get the original bytes, call tensor.bytes().\");\n      }\n    }\n    return data;\n  }\n  async bytes() {\n    this.throwIfDisposed();\n    const data = await trackerFn().read(this.dataId);\n    if (this.dtype === \"string\") {\n      return data;\n    } else {\n      return new Uint8Array(data.buffer);\n    }\n  }\n  dispose() {\n    if (this.isDisposed) {\n      return;\n    }\n    trackerFn().disposeTensor(this);\n    this.isDisposedInternal = true;\n  }\n  get isDisposed() {\n    return this.isDisposedInternal;\n  }\n  throwIfDisposed() {\n    if (this.isDisposed) {\n      throw new Error(`Tensor is disposed.`);\n    }\n  }\n  print(verbose = false) {\n    return opHandler.print(this, verbose);\n  }\n  clone() {\n    this.throwIfDisposed();\n    return opHandler.clone(this);\n  }\n  toString(verbose = false) {\n    const vals = this.dataSync();\n    return tensorToString(vals, this.shape, this.dtype, verbose);\n  }\n  cast(dtype) {\n    this.throwIfDisposed();\n    return opHandler.cast(this, dtype);\n  }\n  variable(trainable = true, name, dtype) {\n    this.throwIfDisposed();\n    return trackerFn().makeVariable(this, trainable, name, dtype);\n  }\n};\nObject.defineProperty(Tensor, Symbol.hasInstance, {\n  value: (instance) => {\n    return !!instance && instance.data != null && instance.dataSync != null && instance.throwIfDisposed != null;\n  }\n});\nfunction getGlobalTensorClass() {\n  return getGlobal(\"Tensor\", () => {\n    return Tensor;\n  });\n}\ngetGlobalTensorClass();\nvar Variable = class extends Tensor {\n  constructor(initialValue, trainable, name, tensorId) {\n    super(initialValue.shape, initialValue.dtype, initialValue.dataId, tensorId);\n    this.trainable = trainable;\n    this.name = name;\n  }\n  assign(newValue) {\n    if (newValue.dtype !== this.dtype) {\n      throw new Error(`dtype of the new value (${newValue.dtype}) and previous value (${this.dtype}) must match`);\n    }\n    if (!arraysEqual(newValue.shape, this.shape)) {\n      throw new Error(`shape of the new value (${newValue.shape}) and previous value (${this.shape}) must match`);\n    }\n    trackerFn().disposeTensor(this);\n    this.dataId = newValue.dataId;\n    trackerFn().incRef(this, null);\n  }\n  dispose() {\n    trackerFn().disposeVariable(this);\n    this.isDisposedInternal = true;\n  }\n};\nObject.defineProperty(Variable, Symbol.hasInstance, {\n  value: (instance) => {\n    return instance instanceof Tensor && instance.assign != null && instance.assign instanceof Function;\n  }\n});\nvar tensor_util_exports = {};\n__export(tensor_util_exports, {\n  assertTypesMatch: () => assertTypesMatch,\n  getTensorsInContainer: () => getTensorsInContainer,\n  isTensorInList: () => isTensorInList,\n  makeTypesMatch: () => makeTypesMatch\n});\nvar Rank;\n(function(Rank18) {\n  Rank18[\"R0\"] = \"R0\";\n  Rank18[\"R1\"] = \"R1\";\n  Rank18[\"R2\"] = \"R2\";\n  Rank18[\"R3\"] = \"R3\";\n  Rank18[\"R4\"] = \"R4\";\n  Rank18[\"R5\"] = \"R5\";\n  Rank18[\"R6\"] = \"R6\";\n})(Rank || (Rank = {}));\nvar UpcastInt32AndMap;\n(function(UpcastInt32AndMap2) {\n  UpcastInt32AndMap2[\"float32\"] = \"float32\";\n  UpcastInt32AndMap2[\"int32\"] = \"int32\";\n  UpcastInt32AndMap2[\"bool\"] = \"int32\";\n  UpcastInt32AndMap2[\"complex64\"] = \"complex64\";\n})(UpcastInt32AndMap || (UpcastInt32AndMap = {}));\nvar UpcastBoolAndMap;\n(function(UpcastBoolAndMap2) {\n  UpcastBoolAndMap2[\"float32\"] = \"float32\";\n  UpcastBoolAndMap2[\"int32\"] = \"int32\";\n  UpcastBoolAndMap2[\"bool\"] = \"bool\";\n  UpcastBoolAndMap2[\"complex64\"] = \"complex64\";\n})(UpcastBoolAndMap || (UpcastBoolAndMap = {}));\nvar UpcastFloat32AndMap;\n(function(UpcastFloat32AndMap2) {\n  UpcastFloat32AndMap2[\"float32\"] = \"float32\";\n  UpcastFloat32AndMap2[\"int32\"] = \"float32\";\n  UpcastFloat32AndMap2[\"bool\"] = \"float32\";\n  UpcastFloat32AndMap2[\"complex64\"] = \"complex64\";\n})(UpcastFloat32AndMap || (UpcastFloat32AndMap = {}));\nvar UpcastComplex64AndMap;\n(function(UpcastComplex64AndMap2) {\n  UpcastComplex64AndMap2[\"float32\"] = \"complex64\";\n  UpcastComplex64AndMap2[\"int32\"] = \"complex64\";\n  UpcastComplex64AndMap2[\"bool\"] = \"complex64\";\n  UpcastComplex64AndMap2[\"complex64\"] = \"complex64\";\n})(UpcastComplex64AndMap || (UpcastComplex64AndMap = {}));\nvar upcastTypeMap = {\n  \"float32\": UpcastFloat32AndMap,\n  \"int32\": UpcastInt32AndMap,\n  \"bool\": UpcastBoolAndMap,\n  \"complex64\": UpcastComplex64AndMap\n};\nfunction upcastType(typeA, typeB) {\n  if (typeA === \"string\" || typeB === \"string\") {\n    if (typeA === \"string\" && typeB === \"string\") {\n      return \"string\";\n    }\n    throw new Error(`Can not upcast ${typeA} with ${typeB}`);\n  }\n  return upcastTypeMap[typeA][typeB];\n}\nfunction sumOutType(type) {\n  return upcastType(type, \"int32\");\n}\nfunction makeTypesMatch(a, b) {\n  if (a.dtype === b.dtype) {\n    return [a, b];\n  }\n  const dtype = upcastType(a.dtype, b.dtype);\n  return [a.cast(dtype), b.cast(dtype)];\n}\nfunction assertTypesMatch(a, b) {\n  assert(a.dtype === b.dtype, () => `The dtypes of the first(${a.dtype}) and second(${b.dtype}) input must match`);\n}\nfunction isTensorInList(tensor2, tensorList) {\n  return tensorList.some((x) => x.id === tensor2.id);\n}\nfunction getTensorsInContainer(result) {\n  const list = [];\n  const seen = new Set();\n  walkTensorContainer(result, list, seen);\n  return list;\n}\nfunction walkTensorContainer(container, list, seen) {\n  if (container == null) {\n    return;\n  }\n  if (container instanceof Tensor) {\n    list.push(container);\n    return;\n  }\n  if (!isIterable(container)) {\n    return;\n  }\n  const iterable = container;\n  for (const k in iterable) {\n    const val = iterable[k];\n    if (!seen.has(val)) {\n      seen.add(val);\n      walkTensorContainer(val, list, seen);\n    }\n  }\n}\nfunction isIterable(obj) {\n  return Array.isArray(obj) || typeof obj === \"object\";\n}\nfunction isRegisteredKernelInvocation(kernelInvocation) {\n  return kernelInvocation.kernelName != null;\n}\nvar EngineState = class {\n  constructor() {\n    this.registeredVariables = {};\n    this.nextTapeNodeId = 0;\n    this.numBytes = 0;\n    this.numTensors = 0;\n    this.numStringTensors = 0;\n    this.numDataBuffers = 0;\n    this.gradientDepth = 0;\n    this.kernelDepth = 0;\n    this.scopeStack = [];\n    this.numDataMovesStack = [];\n    this.nextScopeId = 0;\n    this.tensorInfo = new WeakMap();\n    this.profiling = false;\n    this.activeProfile = {\n      newBytes: 0,\n      newTensors: 0,\n      peakBytes: 0,\n      kernels: [],\n      result: null,\n      get kernelNames() {\n        return Array.from(new Set(this.kernels.map((k) => k.name)));\n      }\n    };\n  }\n  dispose() {\n    for (const variableName in this.registeredVariables) {\n      this.registeredVariables[variableName].dispose();\n    }\n  }\n};\nvar _Engine = class {\n  constructor(ENV7) {\n    this.ENV = ENV7;\n    this.registry = {};\n    this.registryFactory = {};\n    this.pendingBackendInitId = 0;\n    this.state = new EngineState();\n  }\n  async ready() {\n    if (this.pendingBackendInit != null) {\n      return this.pendingBackendInit.then(() => {\n      });\n    }\n    if (this.backendInstance != null) {\n      return;\n    }\n    const sortedBackends = this.getSortedBackends();\n    for (let i = 0; i < sortedBackends.length; i++) {\n      const backendName = sortedBackends[i];\n      const success = await this.initializeBackend(backendName).success;\n      if (success) {\n        await this.setBackend(backendName);\n        return;\n      }\n    }\n    throw new Error(`Could not initialize any backends, all backend initializations failed.`);\n  }\n  get backend() {\n    if (this.pendingBackendInit != null) {\n      throw new Error(`Backend '${this.backendName}' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods`);\n    }\n    if (this.backendInstance == null) {\n      const { name, asyncInit } = this.initializeBackendsAndReturnBest();\n      if (asyncInit) {\n        throw new Error(`The highest priority backend '${name}' has not yet been initialized. Make sure to await tf.ready() or await tf.setBackend() before calling other methods`);\n      }\n      this.setBackend(name);\n    }\n    return this.backendInstance;\n  }\n  backendNames() {\n    return Object.keys(this.registryFactory);\n  }\n  findBackend(backendName) {\n    if (!(backendName in this.registry)) {\n      if (backendName in this.registryFactory) {\n        const { asyncInit } = this.initializeBackend(backendName);\n        if (asyncInit) {\n          return null;\n        }\n      } else {\n        return null;\n      }\n    }\n    return this.registry[backendName];\n  }\n  findBackendFactory(backendName) {\n    if (!(backendName in this.registryFactory)) {\n      return null;\n    }\n    return this.registryFactory[backendName].factory;\n  }\n  registerBackend(backendName, factory, priority = 1) {\n    if (backendName in this.registryFactory) {\n      warn(`${backendName} backend was already registered. Reusing existing backend factory.`);\n      return false;\n    }\n    this.registryFactory[backendName] = { factory, priority };\n    return true;\n  }\n  async setBackend(backendName) {\n    if (this.registryFactory[backendName] == null) {\n      throw new Error(`Backend name '${backendName}' not found in registry`);\n    }\n    this.backendName = backendName;\n    if (this.registry[backendName] == null) {\n      this.backendInstance = null;\n      const { success, asyncInit } = this.initializeBackend(backendName);\n      const result = asyncInit ? await success : success;\n      if (!result) {\n        return false;\n      }\n    }\n    this.backendInstance = this.registry[backendName];\n    this.setupRegisteredKernels();\n    this.profiler = new Profiler(this.backendInstance);\n    return true;\n  }\n  setupRegisteredKernels() {\n    const kernels = getKernelsForBackend(this.backendName);\n    kernels.forEach((kernel) => {\n      if (kernel.setupFunc != null) {\n        kernel.setupFunc(this.backendInstance);\n      }\n    });\n  }\n  disposeRegisteredKernels(backendName) {\n    const kernels = getKernelsForBackend(backendName);\n    kernels.forEach((kernel) => {\n      if (kernel.disposeFunc != null) {\n        kernel.disposeFunc(this.registry[backendName]);\n      }\n    });\n  }\n  initializeBackend(backendName) {\n    const registryFactoryEntry = this.registryFactory[backendName];\n    if (registryFactoryEntry == null) {\n      throw new Error(`Cannot initialize backend ${backendName}, no registration found.`);\n    }\n    try {\n      const backend2 = registryFactoryEntry.factory();\n      if (backend2 && !(backend2 instanceof KernelBackend) && typeof backend2.then === \"function\") {\n        const promiseId = ++this.pendingBackendInitId;\n        const success = backend2.then((backendInstance) => {\n          if (promiseId < this.pendingBackendInitId) {\n            return false;\n          }\n          this.registry[backendName] = backendInstance;\n          this.pendingBackendInit = null;\n          return true;\n        }).catch((err) => {\n          if (promiseId < this.pendingBackendInitId) {\n            return false;\n          }\n          this.pendingBackendInit = null;\n          warn(`Initialization of backend ${backendName} failed`);\n          warn(err.stack || err.message);\n          return false;\n        });\n        this.pendingBackendInit = success;\n        return { success, asyncInit: true };\n      } else {\n        this.registry[backendName] = backend2;\n        return { success: true, asyncInit: false };\n      }\n    } catch (err) {\n      warn(`Initialization of backend ${backendName} failed`);\n      warn(err.stack || err.message);\n      return { success: false, asyncInit: false };\n    }\n  }\n  removeBackend(backendName) {\n    if (!(backendName in this.registryFactory)) {\n      throw new Error(`${backendName} backend not found in registry`);\n    }\n    if (this.backendName === backendName && this.pendingBackendInit != null) {\n      this.pendingBackendInitId++;\n    }\n    if (backendName in this.registry) {\n      this.disposeRegisteredKernels(backendName);\n      this.registry[backendName].dispose();\n      delete this.registry[backendName];\n    }\n    delete this.registryFactory[backendName];\n    if (this.backendName === backendName) {\n      this.pendingBackendInit = null;\n      this.backendName = null;\n      this.backendInstance = null;\n    }\n  }\n  getSortedBackends() {\n    if (Object.keys(this.registryFactory).length === 0) {\n      throw new Error(\"No backend found in registry.\");\n    }\n    return Object.keys(this.registryFactory).sort((a, b) => {\n      return this.registryFactory[b].priority - this.registryFactory[a].priority;\n    });\n  }\n  initializeBackendsAndReturnBest() {\n    const sortedBackends = this.getSortedBackends();\n    for (let i = 0; i < sortedBackends.length; i++) {\n      const backendName = sortedBackends[i];\n      const { success, asyncInit } = this.initializeBackend(backendName);\n      if (asyncInit || success) {\n        return { name: backendName, asyncInit };\n      }\n    }\n    throw new Error(`Could not initialize any backends, all backend initializations failed.`);\n  }\n  moveData(backend2, dataId) {\n    const info = this.state.tensorInfo.get(dataId);\n    const srcBackend = info.backend;\n    const values = this.readSync(dataId);\n    const refCount = srcBackend.refCount(dataId);\n    srcBackend.disposeData(dataId, true);\n    info.backend = backend2;\n    backend2.move(dataId, values, info.shape, info.dtype, refCount);\n    if (this.shouldCheckForMemLeaks()) {\n      this.state.numDataMovesStack[this.state.numDataMovesStack.length - 1]++;\n    }\n  }\n  tidy(nameOrFn, fn) {\n    let name = null;\n    if (fn == null) {\n      if (typeof nameOrFn !== \"function\") {\n        throw new Error(\"Please provide a function to tidy()\");\n      }\n      fn = nameOrFn;\n    } else {\n      if (typeof nameOrFn !== \"string\" && !(nameOrFn instanceof String)) {\n        throw new Error(\"When calling with two arguments, the first argument to tidy() must be a string\");\n      }\n      if (typeof fn !== \"function\") {\n        throw new Error(\"When calling with two arguments, the 2nd argument to tidy() must be a function\");\n      }\n      name = nameOrFn;\n    }\n    let result;\n    return this.scopedRun(() => this.startScope(name), () => this.endScope(result), () => {\n      result = fn();\n      if (result instanceof Promise) {\n        console.error(\"Cannot return a Promise inside of tidy.\");\n      }\n      return result;\n    });\n  }\n  scopedRun(start, end, f) {\n    start();\n    try {\n      const res = f();\n      end();\n      return res;\n    } catch (ex) {\n      end();\n      throw ex;\n    }\n  }\n  nextTensorId() {\n    return _Engine.nextTensorId++;\n  }\n  nextVariableId() {\n    return _Engine.nextVariableId++;\n  }\n  clone(x) {\n    const y = ENGINE.runKernel(Identity, { x });\n    const inputs = { x };\n    const grad2 = (dy) => ({\n      x: () => {\n        const dtype = \"float32\";\n        const gradInputs = { x: dy };\n        const attrs = { dtype };\n        return ENGINE.runKernel(Cast, gradInputs, attrs);\n      }\n    });\n    const saved = [];\n    this.addTapeNode(this.state.activeScope.name, inputs, [y], grad2, saved, {});\n    return y;\n  }\n  runKernel(kernelName, inputs, attrs) {\n    if (this.backendName == null) {\n      this.backend;\n    }\n    const hasKernel = getKernel(kernelName, this.backendName) != null;\n    if (!hasKernel) {\n      throw new Error(`Kernel '${kernelName}' not registered for backend '${this.backendName}'`);\n    }\n    return this.runKernelFunc({ kernelName, inputs, attrs });\n  }\n  shouldCheckForMemLeaks() {\n    return this.ENV.getBool(\"IS_TEST\");\n  }\n  checkKernelForMemLeak(kernelName, numDataIdsBefore, outInfos) {\n    const numDataIdsAfter = this.backend.numDataIds();\n    let numOutputDataIds = 0;\n    outInfos.forEach((info) => {\n      numOutputDataIds += info.dtype === \"complex64\" ? 3 : 1;\n    });\n    const numMoves = this.state.numDataMovesStack[this.state.numDataMovesStack.length - 1];\n    const dataIdsLeaked = numDataIdsAfter - numDataIdsBefore - numOutputDataIds - numMoves;\n    if (dataIdsLeaked > 0) {\n      throw new Error(`Backend '${this.backendName}' has an internal memory leak (${dataIdsLeaked} data ids) after running '${kernelName}'`);\n    }\n  }\n  runKernelFunc(kernelParams) {\n    let outputs;\n    let saved = [];\n    const isTapeOn = this.isTapeOn();\n    const startingBytecount = this.state.numBytes;\n    const startingNumTensors = this.state.numTensors;\n    if (this.shouldCheckForMemLeaks()) {\n      this.state.numDataMovesStack.push(0);\n    }\n    let kernelFunc3;\n    if (this.backendName == null) {\n      this.backend;\n    }\n    let out;\n    const kernelOrScopeName = isRegisteredKernelInvocation(kernelParams) ? kernelParams.kernelName : this.state.activeScope != null ? this.state.activeScope.name : \"\";\n    if (isRegisteredKernelInvocation(kernelParams)) {\n      const { kernelName, inputs: inputs2, attrs: attrs2 } = kernelParams;\n      if (this.backendName == null) {\n        this.backend;\n      }\n      const kernel = getKernel(kernelName, this.backendName);\n      assert(kernel != null, () => `Cannot find registered kernel '${kernelName}' for backend '${this.backendName}'`);\n      kernelFunc3 = () => {\n        const numDataIdsBefore = this.backend.numDataIds();\n        out = kernel.kernelFunc({ inputs: inputs2, attrs: attrs2, backend: this.backend });\n        const outInfos = Array.isArray(out) ? out : [out];\n        if (this.shouldCheckForMemLeaks()) {\n          this.checkKernelForMemLeak(kernelName, numDataIdsBefore, outInfos);\n        }\n        const outTensors = outInfos.map((outInfo) => {\n          if (outInfo.rank != null) {\n            return outInfo;\n          }\n          const { dataId, shape, dtype } = outInfo;\n          return this.makeTensorFromDataId(dataId, shape, dtype);\n        });\n        if (isTapeOn) {\n          const tensorsToSave = this.getTensorsForGradient(kernelName, inputs2, outTensors);\n          saved = this.saveTensorsForBackwardMode(tensorsToSave);\n        }\n        return outTensors;\n      };\n    } else {\n      const { forwardFunc } = kernelParams;\n      const saveFunc = (tensors) => {\n        if (!isTapeOn) {\n          return;\n        }\n        saved = tensors.map((tensor2) => this.keep(this.clone(tensor2)));\n      };\n      kernelFunc3 = () => {\n        const numDataIdsBefore = this.backend.numDataIds();\n        out = this.tidy(() => forwardFunc(this.backend, saveFunc));\n        const outs = Array.isArray(out) ? out : [out];\n        if (this.shouldCheckForMemLeaks()) {\n          this.checkKernelForMemLeak(kernelOrScopeName, numDataIdsBefore, outs);\n        }\n        return outs;\n      };\n    }\n    const { inputs, attrs } = kernelParams;\n    const backwardsFunc = isRegisteredKernelInvocation(kernelParams) ? null : kernelParams.backwardsFunc;\n    let kernelProfile;\n    this.scopedRun(() => this.state.kernelDepth++, () => this.state.kernelDepth--, () => {\n      if (!this.ENV.getBool(\"DEBUG\") && !this.state.profiling) {\n        outputs = kernelFunc3();\n      } else {\n        kernelProfile = this.profiler.profileKernel(kernelOrScopeName, inputs, () => kernelFunc3());\n        if (this.ENV.getBool(\"DEBUG\")) {\n          this.profiler.logKernelProfile(kernelProfile);\n        }\n        outputs = kernelProfile.outputs;\n      }\n    });\n    if (isTapeOn) {\n      this.addTapeNode(kernelOrScopeName, inputs, outputs, backwardsFunc, saved, attrs);\n    }\n    if (this.state.profiling) {\n      this.state.activeProfile.kernels.push({\n        name: kernelOrScopeName,\n        bytesAdded: this.state.numBytes - startingBytecount,\n        totalBytesSnapshot: this.state.numBytes,\n        tensorsAdded: this.state.numTensors - startingNumTensors,\n        totalTensorsSnapshot: this.state.numTensors,\n        inputShapes: Object.keys(inputs).map((key) => inputs[key] != null ? inputs[key].shape : null),\n        outputShapes: outputs.map((item) => item.shape),\n        kernelTimeMs: kernelProfile.timeMs,\n        extraInfo: kernelProfile.extraInfo\n      });\n    }\n    return Array.isArray(out) ? outputs : outputs[0];\n  }\n  saveTensorsForBackwardMode(tensors) {\n    const saved = tensors.map((tensor2) => this.keep(this.clone(tensor2)));\n    return saved;\n  }\n  getTensorsForGradient(kernelName, inputs, outputs) {\n    const gradConfig = getGradient(kernelName);\n    if (gradConfig != null) {\n      const inputsToSave = gradConfig.inputsToSave || [];\n      const outputsToSave = gradConfig.outputsToSave || [];\n      let inputTensorsToSave;\n      if (gradConfig.saveAllInputs) {\n        assert(Array.isArray(inputs), () => \"saveAllInputs is true, expected inputs to be an array.\");\n        inputTensorsToSave = Object.keys(inputs).map((key) => inputs[key]);\n      } else {\n        inputTensorsToSave = inputsToSave.map((inputName) => inputs[inputName]);\n      }\n      const outputTensorsToSave = outputs.filter((_, i) => outputsToSave[i]);\n      return inputTensorsToSave.concat(outputTensorsToSave);\n    }\n    return [];\n  }\n  makeTensor(values, shape, dtype, backend2) {\n    if (values == null) {\n      throw new Error(\"Values passed to engine.makeTensor() are null\");\n    }\n    dtype = dtype || \"float32\";\n    backend2 = backend2 || this.backend;\n    let backendVals = values;\n    if (dtype === \"string\" && isString(values[0])) {\n      backendVals = values.map((d) => encodeString(d));\n    }\n    const dataId = backend2.write(backendVals, shape, dtype);\n    const t = new Tensor(shape, dtype, dataId, this.nextTensorId());\n    this.trackTensor(t, backend2);\n    if (dtype === \"string\") {\n      const info = this.state.tensorInfo.get(dataId);\n      const newBytes = bytesFromStringArray(backendVals);\n      this.state.numBytes += newBytes - info.bytes;\n      info.bytes = newBytes;\n    }\n    return t;\n  }\n  makeTensorFromDataId(dataId, shape, dtype, backend2) {\n    dtype = dtype || \"float32\";\n    const t = new Tensor(shape, dtype, dataId, this.nextTensorId());\n    this.trackTensor(t, backend2);\n    return t;\n  }\n  makeVariable(initialValue, trainable = true, name, dtype) {\n    name = name || this.nextVariableId().toString();\n    if (dtype != null && dtype !== initialValue.dtype) {\n      initialValue = initialValue.cast(dtype);\n    }\n    const v = new Variable(initialValue, trainable, name, this.nextTensorId());\n    if (this.state.registeredVariables[v.name] != null) {\n      throw new Error(`Variable with name ${v.name} was already registered`);\n    }\n    this.state.registeredVariables[v.name] = v;\n    this.incRef(v, this.backend);\n    return v;\n  }\n  trackTensor(a, backend2) {\n    this.state.numTensors++;\n    if (a.dtype === \"string\") {\n      this.state.numStringTensors++;\n    }\n    let bytes = 0;\n    if (a.dtype !== \"complex64\" && a.dtype !== \"string\") {\n      bytes = a.size * bytesPerElement(a.dtype);\n    }\n    this.state.numBytes += bytes;\n    if (!this.state.tensorInfo.has(a.dataId)) {\n      this.state.numDataBuffers++;\n      this.state.tensorInfo.set(a.dataId, {\n        backend: backend2 || this.backend,\n        dtype: a.dtype,\n        shape: a.shape,\n        bytes\n      });\n    }\n    if (!(a instanceof Variable)) {\n      this.track(a);\n    }\n  }\n  incRef(a, backend2) {\n    this.trackTensor(a, backend2);\n    this.backend.incRef(a.dataId);\n  }\n  removeDataId(dataId, backend2) {\n    if (this.state.tensorInfo.has(dataId) && this.state.tensorInfo.get(dataId).backend === backend2) {\n      this.state.tensorInfo.delete(dataId);\n      this.state.numDataBuffers--;\n    }\n  }\n  disposeTensor(a) {\n    if (!this.state.tensorInfo.has(a.dataId)) {\n      return;\n    }\n    const info = this.state.tensorInfo.get(a.dataId);\n    this.state.numTensors--;\n    if (a.dtype === \"string\") {\n      this.state.numStringTensors--;\n      this.state.numBytes -= info.bytes;\n    }\n    if (a.dtype !== \"complex64\" && a.dtype !== \"string\") {\n      const bytes = a.size * bytesPerElement(a.dtype);\n      this.state.numBytes -= bytes;\n    }\n    if (info.backend.disposeData(a.dataId)) {\n      this.removeDataId(a.dataId, info.backend);\n    }\n  }\n  disposeVariables() {\n    for (const varName in this.state.registeredVariables) {\n      const v = this.state.registeredVariables[varName];\n      this.disposeVariable(v);\n    }\n  }\n  disposeVariable(v) {\n    this.disposeTensor(v);\n    if (this.state.registeredVariables[v.name] != null) {\n      delete this.state.registeredVariables[v.name];\n    }\n  }\n  memory() {\n    const info = this.backend.memory();\n    info.numTensors = this.state.numTensors;\n    info.numDataBuffers = this.state.numDataBuffers;\n    info.numBytes = this.state.numBytes;\n    if (this.state.numStringTensors > 0) {\n      info.unreliable = true;\n      if (info.reasons == null) {\n        info.reasons = [];\n      }\n      info.reasons.push(\"Memory usage by string tensors is approximate (2 bytes per character)\");\n    }\n    return info;\n  }\n  async profile(query) {\n    this.state.profiling = true;\n    const startBytes = this.state.numBytes;\n    const startNumTensors = this.state.numTensors;\n    this.state.activeProfile.kernels = [];\n    this.state.activeProfile.result = await query();\n    this.state.profiling = false;\n    this.state.activeProfile.peakBytes = Math.max(...this.state.activeProfile.kernels.map((d) => d.totalBytesSnapshot));\n    this.state.activeProfile.newBytes = this.state.numBytes - startBytes;\n    this.state.activeProfile.newTensors = this.state.numTensors - startNumTensors;\n    for (const kernel of this.state.activeProfile.kernels) {\n      kernel.kernelTimeMs = await kernel.kernelTimeMs;\n      kernel.extraInfo = await kernel.extraInfo;\n    }\n    return this.state.activeProfile;\n  }\n  isTapeOn() {\n    return this.state.gradientDepth > 0 && this.state.kernelDepth === 0;\n  }\n  addTapeNode(kernelName, inputs, outputs, gradientsFunc, saved, attrs) {\n    const tapeNode = { id: this.state.nextTapeNodeId++, kernelName, inputs, outputs, saved };\n    const gradConfig = getGradient(kernelName);\n    if (gradConfig != null) {\n      gradientsFunc = gradConfig.gradFunc;\n    }\n    if (gradientsFunc != null) {\n      tapeNode.gradient = (dys) => {\n        dys = dys.map((dy, i) => {\n          if (dy == null) {\n            const output = outputs[i];\n            const vals = makeZerosTypedArray(output.size, output.dtype);\n            return this.makeTensor(vals, output.shape, output.dtype);\n          }\n          return dy;\n        });\n        return gradientsFunc(dys.length > 1 ? dys : dys[0], saved, attrs);\n      };\n    }\n    this.state.activeTape.push(tapeNode);\n  }\n  keep(result) {\n    result.kept = true;\n    return result;\n  }\n  startTape() {\n    if (this.state.gradientDepth === 0) {\n      this.state.activeTape = [];\n    }\n    this.state.gradientDepth++;\n  }\n  endTape() {\n    this.state.gradientDepth--;\n  }\n  startScope(name) {\n    const scopeInfo = {\n      track: [],\n      name: \"unnamed scope\",\n      id: this.state.nextScopeId++\n    };\n    if (name) {\n      scopeInfo.name = name;\n    }\n    this.state.scopeStack.push(scopeInfo);\n    this.state.activeScope = scopeInfo;\n  }\n  endScope(result) {\n    const tensorsToTrackInParent = getTensorsInContainer(result);\n    const tensorsToTrackInParentSet = new Set(tensorsToTrackInParent.map((t) => t.id));\n    for (let i = 0; i < this.state.activeScope.track.length; i++) {\n      const tensor2 = this.state.activeScope.track[i];\n      if (!tensor2.kept && !tensorsToTrackInParentSet.has(tensor2.id)) {\n        tensor2.dispose();\n      }\n    }\n    const oldScope = this.state.scopeStack.pop();\n    this.state.activeScope = this.state.scopeStack.length === 0 ? null : this.state.scopeStack[this.state.scopeStack.length - 1];\n    tensorsToTrackInParent.forEach((tensor2) => {\n      if (!tensor2.kept && tensor2.scopeId === oldScope.id) {\n        this.track(tensor2);\n      }\n    });\n  }\n  gradients(f, xs, dy, allowNoGradients = false) {\n    assert(xs.length > 0, () => \"gradients() received an empty list of xs.\");\n    if (dy != null && dy.dtype !== \"float32\") {\n      throw new Error(`dy must have 'float32' dtype, but has '${dy.dtype}'`);\n    }\n    const y = this.scopedRun(() => this.startTape(), () => this.endTape(), () => this.tidy(\"forward\", f));\n    assert(y instanceof Tensor, () => \"The result y returned by f() must be a tensor.\");\n    const filteredTape = getFilteredNodesXToY(this.state.activeTape, xs, y);\n    if (!allowNoGradients && filteredTape.length === 0 && xs.length > 0) {\n      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.\");\n    }\n    return this.tidy(\"backward\", () => {\n      const accumulatedGradientMap = {};\n      accumulatedGradientMap[y.id] = dy == null ? ones(y.shape) : dy;\n      backpropagateGradients(accumulatedGradientMap, filteredTape, (f2) => this.tidy(f2), add);\n      const grads2 = xs.map((x) => accumulatedGradientMap[x.id]);\n      if (this.state.gradientDepth === 0) {\n        this.state.activeTape.forEach((node) => {\n          for (const tensor2 of node.saved) {\n            tensor2.dispose();\n          }\n        });\n        this.state.activeTape = null;\n      }\n      return { value: y, grads: grads2 };\n    });\n  }\n  customGrad(f) {\n    assert(isFunction(f), () => \"The f passed in customGrad(f) must be a function.\");\n    return (...inputs) => {\n      assert(inputs.every((t) => t instanceof Tensor), () => \"The args passed in customGrad(f)(x1, x2,...) must all be tensors\");\n      let res;\n      const inputMap = {};\n      inputs.forEach((input2, i) => {\n        inputMap[i] = input2;\n      });\n      const forwardFunc = (_, save) => {\n        res = f(...[...inputs, save]);\n        assert(res.value instanceof Tensor, () => \"The function f passed in customGrad(f) must return an object where `obj.value` is a tensor\");\n        assert(isFunction(res.gradFunc), () => \"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function.\");\n        return res.value;\n      };\n      const backwardsFunc = (dy, saved) => {\n        const gradRes = res.gradFunc(dy, saved);\n        const grads2 = Array.isArray(gradRes) ? gradRes : [gradRes];\n        assert(grads2.length === inputs.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(...).\");\n        assert(grads2.every((t) => t instanceof Tensor), () => \"The function f passed in customGrad(f) must return an object where `obj.gradFunc` is a function that returns a list of only tensors.\");\n        const gradMap = {};\n        grads2.forEach((grad2, i) => {\n          gradMap[i] = () => grad2;\n        });\n        return gradMap;\n      };\n      return this.runKernelFunc({\n        forwardFunc,\n        backwardsFunc,\n        inputs: inputMap\n      });\n    };\n  }\n  readSync(dataId) {\n    const info = this.state.tensorInfo.get(dataId);\n    return info.backend.readSync(dataId);\n  }\n  read(dataId) {\n    const info = this.state.tensorInfo.get(dataId);\n    return info.backend.read(dataId);\n  }\n  async time(query) {\n    const start = now();\n    const timingInfo = await this.backend.time(query);\n    timingInfo.wallMs = now() - start;\n    return timingInfo;\n  }\n  track(result) {\n    if (this.state.activeScope != null) {\n      result.scopeId = this.state.activeScope.id;\n      this.state.activeScope.track.push(result);\n    }\n    return result;\n  }\n  get registeredVariables() {\n    return this.state.registeredVariables;\n  }\n  reset() {\n    this.pendingBackendInitId++;\n    this.state.dispose();\n    this.ENV.reset();\n    this.state = new EngineState();\n    for (const backendName in this.registry) {\n      this.disposeRegisteredKernels(backendName);\n      this.registry[backendName].dispose();\n      delete this.registry[backendName];\n    }\n    this.backendName = null;\n    this.backendInstance = null;\n    this.pendingBackendInit = null;\n  }\n};\nvar Engine = _Engine;\nEngine.nextTensorId = 0;\nEngine.nextVariableId = 0;\nfunction ones(shape) {\n  const values = makeOnesTypedArray(sizeFromShape(shape), \"float32\");\n  return ENGINE.makeTensor(values, shape, \"float32\");\n}\nfunction getOrMakeEngine() {\n  const ns = getGlobalNamespace();\n  if (ns._tfengine == null) {\n    const environment = new Environment(ns);\n    ns._tfengine = new Engine(environment);\n  }\n  setEnvironmentGlobal(ns._tfengine.ENV);\n  setTensorTracker(() => ns._tfengine);\n  return ns._tfengine;\n}\nvar ENGINE = getOrMakeEngine();\nfunction add(a, b) {\n  const inputs = { a, b };\n  return ENGINE.runKernel(Add, inputs);\n}\nvar device_util_exports = {};\n__export(device_util_exports, {\n  isBrowser: () => isBrowser,\n  isMobile: () => isMobile,\n  mockIsMobile: () => mockIsMobile\n});\nfunction _isNavigatorDefined() {\n  return typeof navigator !== \"undefined\" && navigator != null;\n}\nvar isMobileMockValue;\nfunction mockIsMobile(value) {\n  isMobileMockValue = value;\n}\nfunction isMobile(nav) {\n  if (isMobileMockValue !== void 0) {\n    return isMobileMockValue;\n  }\n  if (nav || _isNavigatorDefined()) {\n    if (!nav) {\n      nav = navigator;\n    }\n    if (nav.product === \"ReactNative\") {\n      return true;\n    }\n    const a = nav.userAgent || nav.vendor || (typeof window !== \"undefined\" ? window.opera : \"\");\n    if (!a) {\n      const navAny = nav;\n      return navAny.userAgentData && navAny.userAgentData.mobile;\n    }\n    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(a) || /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(a.substr(0, 4));\n  }\n  return false;\n}\nfunction isBrowser() {\n  return typeof window !== \"undefined\" && window.document != null || typeof WorkerGlobalScope !== \"undefined\";\n}\nvar ENV2 = env();\nENV2.registerFlag(\"DEBUG\", () => false, (debugValue) => {\n  if (debugValue) {\n    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.\");\n  }\n});\nENV2.registerFlag(\"IS_BROWSER\", () => isBrowser());\nENV2.registerFlag(\"IS_NODE\", () => typeof process !== \"undefined\" && typeof process.versions !== \"undefined\" && typeof process.versions.node !== \"undefined\");\nENV2.registerFlag(\"IS_CHROME\", () => typeof navigator !== \"undefined\" && navigator != null && navigator.userAgent != null && /Chrome/.test(navigator.userAgent) && /Google Inc/.test(navigator.vendor));\nENV2.registerFlag(\"PROD\", () => false);\nENV2.registerFlag(\"TENSORLIKE_CHECK_SHAPE_CONSISTENCY\", () => ENV2.getBool(\"DEBUG\"));\nENV2.registerFlag(\"DEPRECATION_WARNINGS_ENABLED\", () => true);\nENV2.registerFlag(\"IS_TEST\", () => false);\nENV2.registerFlag(\"CHECK_COMPUTATION_FOR_ERRORS\", () => true);\nENV2.registerFlag(\"WRAP_TO_IMAGEBITMAP\", () => false);\nfunction inferShape(val, dtype) {\n  let firstElem = val;\n  if (isTypedArray(val)) {\n    return dtype === \"string\" ? [] : [val.length];\n  }\n  if (!Array.isArray(val)) {\n    return [];\n  }\n  const shape = [];\n  while (Array.isArray(firstElem) || isTypedArray(firstElem) && dtype !== \"string\") {\n    shape.push(firstElem.length);\n    firstElem = firstElem[0];\n  }\n  if (Array.isArray(val) && env().getBool(\"TENSORLIKE_CHECK_SHAPE_CONSISTENCY\")) {\n    deepAssertShapeConsistency(val, shape, []);\n  }\n  return shape;\n}\nfunction deepAssertShapeConsistency(val, shape, indices) {\n  indices = indices || [];\n  if (!Array.isArray(val) && !isTypedArray(val)) {\n    assert(shape.length === 0, () => `Element arr[${indices.join(\"][\")}] is a primitive, but should be an array/TypedArray of ${shape[0]} elements`);\n    return;\n  }\n  assert(shape.length > 0, () => `Element arr[${indices.join(\"][\")}] should be a primitive, but is an array of ${val.length} elements`);\n  assert(val.length === shape[0], () => `Element arr[${indices.join(\"][\")}] should have ${shape[0]} elements, but has ${val.length} elements`);\n  const subShape = shape.slice(1);\n  for (let i = 0; i < val.length; ++i) {\n    deepAssertShapeConsistency(val[i], subShape, indices.concat(i));\n  }\n}\nfunction assertDtype(expectedDtype, actualDType, argName, functionName) {\n  if (expectedDtype === \"string_or_numeric\") {\n    return;\n  }\n  if (expectedDtype == null) {\n    throw new Error(`Expected dtype cannot be null.`);\n  }\n  if (expectedDtype !== \"numeric\" && expectedDtype !== actualDType || expectedDtype === \"numeric\" && actualDType === \"string\") {\n    throw new Error(`Argument '${argName}' passed to '${functionName}' must be ${expectedDtype} tensor, but got ${actualDType} tensor`);\n  }\n}\nfunction convertToTensor(x, argName, functionName, parseAsDtype = \"numeric\") {\n  if (x instanceof Tensor) {\n    assertDtype(parseAsDtype, x.dtype, argName, functionName);\n    return x;\n  }\n  let inferredDtype = inferDtype(x);\n  if (inferredDtype !== \"string\" && [\"bool\", \"int32\", \"float32\"].indexOf(parseAsDtype) >= 0) {\n    inferredDtype = parseAsDtype;\n  }\n  assertDtype(parseAsDtype, inferredDtype, argName, functionName);\n  if (x == null || !isTypedArray(x) && !Array.isArray(x) && typeof x !== \"number\" && typeof x !== \"boolean\" && typeof x !== \"string\") {\n    const type = x == null ? \"null\" : x.constructor.name;\n    throw new Error(`Argument '${argName}' passed to '${functionName}' must be a Tensor or TensorLike, but got '${type}'`);\n  }\n  const inferredShape = inferShape(x, inferredDtype);\n  if (!isTypedArray(x) && !Array.isArray(x)) {\n    x = [x];\n  }\n  const skipTypedArray = true;\n  const values = inferredDtype !== \"string\" ? toTypedArray(x, inferredDtype) : flatten(x, [], skipTypedArray);\n  return ENGINE.makeTensor(values, inferredShape, inferredDtype);\n}\nfunction convertToTensorArray(arg, argName, functionName, parseAsDtype = \"numeric\") {\n  if (!Array.isArray(arg)) {\n    throw new Error(`Argument ${argName} passed to ${functionName} must be a \\`Tensor[]\\` or \\`TensorLike[]\\``);\n  }\n  const tensors = arg;\n  return tensors.map((t, i) => convertToTensor(t, `${argName}[${i}]`, functionName, parseAsDtype));\n}\nvar OP_SCOPE_SUFFIX = \"__op\";\nfunction op(f) {\n  const keys = Object.keys(f);\n  if (keys.length !== 1) {\n    throw new Error(`Please provide an object with a single key (operation name) mapping to a function. Got an object with ${keys.length} keys.`);\n  }\n  let opName = keys[0];\n  const fn = f[opName];\n  if (opName.endsWith(\"_\")) {\n    opName = opName.substring(0, opName.length - 1);\n  }\n  opName = opName + OP_SCOPE_SUFFIX;\n  const f2 = (...args) => {\n    ENGINE.startScope(opName);\n    try {\n      const result = fn(...args);\n      if (isPromise(result)) {\n        console.error(\"Cannot return a Promise inside of tidy.\");\n      }\n      ENGINE.endScope(result);\n      return result;\n    } catch (ex) {\n      ENGINE.endScope(null);\n      throw ex;\n    }\n  };\n  Object.defineProperty(f2, \"name\", { value: opName, configurable: true });\n  return f2;\n}\nfunction complex_(real5, imag5) {\n  const $real = convertToTensor(real5, \"real\", \"complex\");\n  const $imag = convertToTensor(imag5, \"imag\", \"complex\");\n  assertShapesMatch($real.shape, $imag.shape, `real and imag shapes, ${$real.shape} and ${$imag.shape}, must match in call to tf.complex().`);\n  const inputs = { real: $real, imag: $imag };\n  return ENGINE.runKernel(Complex, inputs);\n}\nvar complex = op({ complex_ });\nfunction makeTensor(values, shape, inferredShape, dtype) {\n  if (dtype == null) {\n    dtype = inferDtype(values);\n  }\n  if (dtype === \"complex64\") {\n    throw new Error(`Cannot construct a complex64 tensor directly. Please use tf.complex(real, imag).`);\n  }\n  if (!isTypedArray(values) && !Array.isArray(values) && typeof values !== \"number\" && typeof values !== \"boolean\" && typeof values !== \"string\") {\n    throw new Error(\"values passed to tensor(values) must be a number/boolean/string or an array of numbers/booleans/strings, or a TypedArray\");\n  }\n  if (shape != null) {\n    assertNonNegativeIntegerDimensions(shape);\n    const providedSize = sizeFromShape(shape);\n    const inferredSize = sizeFromShape(inferredShape);\n    assert(providedSize === inferredSize, () => `Based on the provided shape, [${shape}], the tensor should have ${providedSize} values but has ${inferredSize}`);\n    for (let i = 0; i < inferredShape.length; ++i) {\n      const inferred = inferredShape[i];\n      const flatDimsDontMatch = i === inferredShape.length - 1 ? inferred !== sizeFromShape(shape.slice(i)) : true;\n      assert(inferredShape[i] === shape[i] || !flatDimsDontMatch, () => `Error creating a new Tensor. Inferred shape (${inferredShape}) does not match the provided shape (${shape}). `);\n    }\n  }\n  if (!isTypedArray(values) && !Array.isArray(values)) {\n    values = [values];\n  }\n  shape = shape || inferredShape;\n  values = dtype !== \"string\" ? toTypedArray(values, dtype) : flatten(values, [], true);\n  return ENGINE.makeTensor(values, shape, dtype);\n}\nfunction tensor(values, shape, dtype) {\n  const inferredShape = inferShape(values, dtype);\n  return makeTensor(values, shape, inferredShape, dtype);\n}\nvar DTYPE_VALUE_SIZE_MAP = {\n  \"float32\": 4,\n  \"float16\": 2,\n  \"int32\": 4,\n  \"uint16\": 2,\n  \"uint8\": 1,\n  \"bool\": 1,\n  \"complex64\": 8\n};\nvar NUM_BYTES_STRING_LENGTH = 4;\nasync function encodeWeights(tensors, group) {\n  const specs = [];\n  const dataPromises = [];\n  const names = Array.isArray(tensors) ? tensors.map((tensor2) => tensor2.name) : Object.keys(tensors);\n  for (let i = 0; i < names.length; ++i) {\n    const name = names[i];\n    const t = Array.isArray(tensors) ? tensors[i].tensor : tensors[name];\n    if (t.dtype !== \"float32\" && t.dtype !== \"int32\" && t.dtype !== \"bool\" && t.dtype !== \"string\" && t.dtype !== \"complex64\") {\n      throw new Error(`Unsupported dtype in weight '${name}': ${t.dtype}`);\n    }\n    const spec = { name, shape: t.shape, dtype: t.dtype };\n    if (t.dtype === \"string\") {\n      const utf8bytes = new Promise(async (resolve) => {\n        const vals = await t.bytes();\n        const totalNumBytes = vals.reduce((p2, c) => p2 + c.length, 0) + NUM_BYTES_STRING_LENGTH * vals.length;\n        const bytes = new Uint8Array(totalNumBytes);\n        let offset = 0;\n        for (let i2 = 0; i2 < vals.length; i2++) {\n          const val = vals[i2];\n          const bytesOfLength = new Uint8Array(new Uint32Array([val.length]).buffer);\n          bytes.set(bytesOfLength, offset);\n          offset += NUM_BYTES_STRING_LENGTH;\n          bytes.set(val, offset);\n          offset += val.length;\n        }\n        resolve(bytes);\n      });\n      dataPromises.push(utf8bytes);\n    } else {\n      dataPromises.push(t.data());\n    }\n    if (group != null) {\n      spec.group = group;\n    }\n    specs.push(spec);\n  }\n  const tensorValues = await Promise.all(dataPromises);\n  return { data: concatenateTypedArrays(tensorValues), specs };\n}\nfunction decodeWeights(buffer2, specs) {\n  const out = {};\n  let float16Decode;\n  let offset = 0;\n  for (const spec of specs) {\n    const name = spec.name;\n    const dtype = spec.dtype;\n    const shape = spec.shape;\n    const size = sizeFromShape(shape);\n    let values;\n    if (\"quantization\" in spec) {\n      const quantization = spec.quantization;\n      if (quantization.dtype === \"uint8\" || quantization.dtype === \"uint16\") {\n        if (!(\"min\" in quantization && \"scale\" in quantization)) {\n          throw new Error(`Weight ${spec.name} with quantization ${quantization.dtype} doesn't have corresponding metadata min and scale.`);\n        }\n      } else if (quantization.dtype === \"float16\") {\n        if (dtype !== \"float32\") {\n          throw new Error(`Weight ${spec.name} is quantized with ${quantization.dtype} which only supports weights of type float32 not ${dtype}.`);\n        }\n      } else {\n        throw new Error(`Weight ${spec.name} has unknown quantization dtype ${quantization.dtype}. Supported quantization dtypes are: 'uint8', 'uint16', and 'float16'.`);\n      }\n      const quantizationSizeFactor = DTYPE_VALUE_SIZE_MAP[quantization.dtype];\n      const byteBuffer = buffer2.slice(offset, offset + size * quantizationSizeFactor);\n      const quantizedArray = quantization.dtype === \"uint8\" ? new Uint8Array(byteBuffer) : new Uint16Array(byteBuffer);\n      if (dtype === \"float32\") {\n        if (quantization.dtype === \"uint8\" || quantization.dtype === \"uint16\") {\n          values = new Float32Array(quantizedArray.length);\n          for (let i = 0; i < quantizedArray.length; i++) {\n            const v = quantizedArray[i];\n            values[i] = v * quantization.scale + quantization.min;\n          }\n        } else if (quantization.dtype === \"float16\") {\n          if (float16Decode === void 0) {\n            float16Decode = getFloat16Decoder();\n          }\n          values = float16Decode(quantizedArray);\n        } else {\n          throw new Error(`Unsupported quantization type ${quantization.dtype} for weight type float32.`);\n        }\n      } else if (dtype === \"int32\") {\n        if (quantization.dtype !== \"uint8\" && quantization.dtype !== \"uint16\") {\n          throw new Error(`Unsupported quantization type ${quantization.dtype} for weight type int32.`);\n        }\n        values = new Int32Array(quantizedArray.length);\n        for (let i = 0; i < quantizedArray.length; i++) {\n          const v = quantizedArray[i];\n          values[i] = Math.round(v * quantization.scale + quantization.min);\n        }\n      } else {\n        throw new Error(`Unsupported dtype in weight '${name}': ${dtype}`);\n      }\n      offset += size * quantizationSizeFactor;\n    } else if (dtype === \"string\") {\n      const size2 = sizeFromShape(spec.shape);\n      values = [];\n      for (let i = 0; i < size2; i++) {\n        const byteLength = new Uint32Array(buffer2.slice(offset, offset + NUM_BYTES_STRING_LENGTH))[0];\n        offset += NUM_BYTES_STRING_LENGTH;\n        const bytes = new Uint8Array(buffer2.slice(offset, offset + byteLength));\n        values.push(bytes);\n        offset += byteLength;\n      }\n    } else {\n      const dtypeFactor = DTYPE_VALUE_SIZE_MAP[dtype];\n      const byteBuffer = buffer2.slice(offset, offset + size * dtypeFactor);\n      if (dtype === \"float32\") {\n        values = new Float32Array(byteBuffer);\n      } else if (dtype === \"int32\") {\n        values = new Int32Array(byteBuffer);\n      } else if (dtype === \"bool\") {\n        values = new Uint8Array(byteBuffer);\n      } else if (dtype === \"complex64\") {\n        values = new Float32Array(byteBuffer);\n        const real5 = new Float32Array(values.length / 2);\n        const image3 = new Float32Array(values.length / 2);\n        for (let i = 0; i < real5.length; i++) {\n          real5[i] = values[i * 2];\n          image3[i] = values[i * 2 + 1];\n        }\n        const realTensor = tensor(real5, shape, \"float32\");\n        const imageTensor = tensor(image3, shape, \"float32\");\n        out[name] = complex(realTensor, imageTensor);\n        realTensor.dispose();\n        imageTensor.dispose();\n      } else {\n        throw new Error(`Unsupported dtype in weight '${name}': ${dtype}`);\n      }\n      offset += size * dtypeFactor;\n    }\n    if (dtype !== \"complex64\") {\n      out[name] = tensor(values, shape, dtype);\n    }\n  }\n  return out;\n}\nfunction concatenateTypedArrays(xs) {\n  if (xs === null) {\n    throw new Error(`Invalid input value: ${JSON.stringify(xs)}`);\n  }\n  let totalByteLength = 0;\n  const normalizedXs = [];\n  xs.forEach((x) => {\n    totalByteLength += x.byteLength;\n    normalizedXs.push(x.byteLength === x.buffer.byteLength ? x : new x.constructor(x));\n    if (!(x instanceof Float32Array || x instanceof Int32Array || x instanceof Uint8Array)) {\n      throw new Error(`Unsupported TypedArray subtype: ${x.constructor.name}`);\n    }\n  });\n  const y = new Uint8Array(totalByteLength);\n  let offset = 0;\n  normalizedXs.forEach((x) => {\n    y.set(new Uint8Array(x.buffer), offset);\n    offset += x.byteLength;\n  });\n  return y.buffer;\n}\nvar useNodeBuffer = typeof Buffer !== \"undefined\" && (typeof Blob === \"undefined\" || typeof atob === \"undefined\" || typeof btoa === \"undefined\");\nfunction stringByteLength(str) {\n  if (useNodeBuffer) {\n    return Buffer.byteLength(str);\n  }\n  return new Blob([str]).size;\n}\nfunction arrayBufferToBase64String(buffer2) {\n  if (useNodeBuffer) {\n    return Buffer.from(buffer2).toString(\"base64\");\n  }\n  const buf = new Uint8Array(buffer2);\n  let s = \"\";\n  for (let i = 0, l = buf.length; i < l; i++) {\n    s += String.fromCharCode(buf[i]);\n  }\n  return btoa(s);\n}\nfunction base64StringToArrayBuffer(str) {\n  if (useNodeBuffer) {\n    const buf = Buffer.from(str, \"base64\");\n    return buf.buffer.slice(buf.byteOffset, buf.byteOffset + buf.byteLength);\n  }\n  const s = atob(str);\n  const buffer2 = new Uint8Array(s.length);\n  for (let i = 0; i < s.length; ++i) {\n    buffer2.set([s.charCodeAt(i)], i);\n  }\n  return buffer2.buffer;\n}\nfunction concatenateArrayBuffers(buffers) {\n  if (buffers.length === 1) {\n    return buffers[0];\n  }\n  let totalByteLength = 0;\n  buffers.forEach((buffer2) => {\n    totalByteLength += buffer2.byteLength;\n  });\n  const temp = new Uint8Array(totalByteLength);\n  let offset = 0;\n  buffers.forEach((buffer2) => {\n    temp.set(new Uint8Array(buffer2), offset);\n    offset += buffer2.byteLength;\n  });\n  return temp.buffer;\n}\nfunction basename(path) {\n  const SEPARATOR = \"/\";\n  path = path.trim();\n  while (path.endsWith(SEPARATOR)) {\n    path = path.slice(0, path.length - 1);\n  }\n  const items = path.split(SEPARATOR);\n  return items[items.length - 1];\n}\nfunction getModelJSONForModelArtifacts(artifacts, manifest) {\n  const result = {\n    modelTopology: artifacts.modelTopology,\n    format: artifacts.format,\n    generatedBy: artifacts.generatedBy,\n    convertedBy: artifacts.convertedBy,\n    weightsManifest: manifest\n  };\n  if (artifacts.signature != null) {\n    result.signature = artifacts.signature;\n  }\n  if (artifacts.userDefinedMetadata != null) {\n    result.userDefinedMetadata = artifacts.userDefinedMetadata;\n  }\n  if (artifacts.modelInitializer != null) {\n    result.modelInitializer = artifacts.modelInitializer;\n  }\n  if (artifacts.trainingConfig != null) {\n    result.trainingConfig = artifacts.trainingConfig;\n  }\n  return result;\n}\nasync function getModelArtifactsForJSON(modelJSON, loadWeights2) {\n  const modelArtifacts = {\n    modelTopology: modelJSON.modelTopology,\n    format: modelJSON.format,\n    generatedBy: modelJSON.generatedBy,\n    convertedBy: modelJSON.convertedBy\n  };\n  if (modelJSON.trainingConfig != null) {\n    modelArtifacts.trainingConfig = modelJSON.trainingConfig;\n  }\n  if (modelJSON.weightsManifest != null) {\n    const [weightSpecs, weightData] = await loadWeights2(modelJSON.weightsManifest);\n    modelArtifacts.weightSpecs = weightSpecs;\n    modelArtifacts.weightData = weightData;\n  }\n  if (modelJSON.signature != null) {\n    modelArtifacts.signature = modelJSON.signature;\n  }\n  if (modelJSON.userDefinedMetadata != null) {\n    modelArtifacts.userDefinedMetadata = modelJSON.userDefinedMetadata;\n  }\n  if (modelJSON.modelInitializer != null) {\n    modelArtifacts.modelInitializer = modelJSON.modelInitializer;\n  }\n  return modelArtifacts;\n}\nfunction getModelArtifactsInfoForJSON(modelArtifacts) {\n  if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n    throw new Error(\"Expected JSON model topology, received ArrayBuffer.\");\n  }\n  return {\n    dateSaved: new Date(),\n    modelTopologyType: \"JSON\",\n    modelTopologyBytes: modelArtifacts.modelTopology == null ? 0 : stringByteLength(JSON.stringify(modelArtifacts.modelTopology)),\n    weightSpecsBytes: modelArtifacts.weightSpecs == null ? 0 : stringByteLength(JSON.stringify(modelArtifacts.weightSpecs)),\n    weightDataBytes: modelArtifacts.weightData == null ? 0 : modelArtifacts.weightData.byteLength\n  };\n}\nfunction computeFloat16MantisaTable() {\n  const convertMantissa = (i) => {\n    let m = i << 13;\n    let e = 0;\n    while ((m & 8388608) === 0) {\n      e -= 8388608;\n      m <<= 1;\n    }\n    m &= ~8388608;\n    e += 947912704;\n    return m | e;\n  };\n  const mantisaTable = new Uint32Array(2048);\n  mantisaTable[0] = 0;\n  for (let i = 1; i < 1024; i++) {\n    mantisaTable[i] = convertMantissa(i);\n  }\n  for (let i = 1024; i < 2048; i++) {\n    mantisaTable[i] = 939524096 + (i - 1024 << 13);\n  }\n  return mantisaTable;\n}\nfunction computeFloat16ExponentTable() {\n  const exponentTable = new Uint32Array(64);\n  exponentTable[0] = 0;\n  exponentTable[31] = 1199570944;\n  exponentTable[32] = 2147483648;\n  exponentTable[63] = 3347054592;\n  for (let i = 1; i < 31; i++) {\n    exponentTable[i] = i << 23;\n  }\n  for (let i = 33; i < 63; i++) {\n    exponentTable[i] = 2147483648 + (i - 32 << 23);\n  }\n  return exponentTable;\n}\nfunction computeFloat16OffsetTable() {\n  const offsetTable = new Uint32Array(64);\n  for (let i = 0; i < 64; i++) {\n    offsetTable[i] = 1024;\n  }\n  offsetTable[0] = offsetTable[32] = 0;\n  return offsetTable;\n}\nfunction getFloat16Decoder() {\n  const mantisaTable = computeFloat16MantisaTable();\n  const exponentTable = computeFloat16ExponentTable();\n  const offsetTable = computeFloat16OffsetTable();\n  return (quantizedArray) => {\n    const buffer2 = new ArrayBuffer(4 * quantizedArray.length);\n    const bufferUint32View = new Uint32Array(buffer2);\n    for (let index = 0; index < quantizedArray.length; index++) {\n      const float16Bits = quantizedArray[index];\n      const float32Bits = mantisaTable[offsetTable[float16Bits >> 10] + (float16Bits & 1023)] + exponentTable[float16Bits >> 10];\n      bufferUint32View[index] = float32Bits;\n    }\n    return new Float32Array(buffer2);\n  };\n}\nvar IORouterRegistry = class {\n  constructor() {\n    this.saveRouters = [];\n    this.loadRouters = [];\n  }\n  static getInstance() {\n    if (IORouterRegistry.instance == null) {\n      IORouterRegistry.instance = new IORouterRegistry();\n    }\n    return IORouterRegistry.instance;\n  }\n  static registerSaveRouter(saveRouter) {\n    IORouterRegistry.getInstance().saveRouters.push(saveRouter);\n  }\n  static registerLoadRouter(loadRouter) {\n    IORouterRegistry.getInstance().loadRouters.push(loadRouter);\n  }\n  static getSaveHandlers(url) {\n    return IORouterRegistry.getHandlers(url, \"save\");\n  }\n  static getLoadHandlers(url, loadOptions) {\n    return IORouterRegistry.getHandlers(url, \"load\", loadOptions);\n  }\n  static getHandlers(url, handlerType, loadOptions) {\n    const validHandlers = [];\n    const routers = handlerType === \"load\" ? IORouterRegistry.getInstance().loadRouters : IORouterRegistry.getInstance().saveRouters;\n    routers.forEach((router) => {\n      const handler = router(url, loadOptions);\n      if (handler !== null) {\n        validHandlers.push(handler);\n      }\n    });\n    return validHandlers;\n  }\n};\nvar registerSaveRouter = (loudRouter) => IORouterRegistry.registerSaveRouter(loudRouter);\nvar registerLoadRouter = (loudRouter) => IORouterRegistry.registerLoadRouter(loudRouter);\nvar getSaveHandlers = (url) => IORouterRegistry.getSaveHandlers(url);\nvar getLoadHandlers = (url, loadOptions) => IORouterRegistry.getLoadHandlers(url, loadOptions);\nvar DATABASE_NAME = \"tensorflowjs\";\nvar DATABASE_VERSION = 1;\nvar MODEL_STORE_NAME = \"models_store\";\nvar INFO_STORE_NAME = \"model_info_store\";\nfunction getIndexedDBFactory() {\n  if (!env().getBool(\"IS_BROWSER\")) {\n    throw new Error(\"Failed to obtain IndexedDB factory because the current environmentis not a web browser.\");\n  }\n  const theWindow = typeof window === \"undefined\" ? self : window;\n  const factory = theWindow.indexedDB || theWindow.mozIndexedDB || theWindow.webkitIndexedDB || theWindow.msIndexedDB || theWindow.shimIndexedDB;\n  if (factory == null) {\n    throw new Error(\"The current browser does not appear to support IndexedDB.\");\n  }\n  return factory;\n}\nfunction setUpDatabase(openRequest) {\n  const db = openRequest.result;\n  db.createObjectStore(MODEL_STORE_NAME, { keyPath: \"modelPath\" });\n  db.createObjectStore(INFO_STORE_NAME, { keyPath: \"modelPath\" });\n}\nvar BrowserIndexedDB = class {\n  constructor(modelPath) {\n    this.indexedDB = getIndexedDBFactory();\n    if (modelPath == null || !modelPath) {\n      throw new Error(\"For IndexedDB, modelPath must not be null, undefined or empty.\");\n    }\n    this.modelPath = modelPath;\n  }\n  async save(modelArtifacts) {\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");\n    }\n    return this.databaseAction(this.modelPath, modelArtifacts);\n  }\n  async load() {\n    return this.databaseAction(this.modelPath);\n  }\n  databaseAction(modelPath, modelArtifacts) {\n    return new Promise((resolve, reject) => {\n      const openRequest = this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n      openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n      openRequest.onsuccess = () => {\n        const db = openRequest.result;\n        if (modelArtifacts == null) {\n          const modelTx = db.transaction(MODEL_STORE_NAME, \"readonly\");\n          const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n          const getRequest = modelStore.get(this.modelPath);\n          getRequest.onsuccess = () => {\n            if (getRequest.result == null) {\n              db.close();\n              return reject(new Error(`Cannot find model with path '${this.modelPath}' in IndexedDB.`));\n            } else {\n              resolve(getRequest.result.modelArtifacts);\n            }\n          };\n          getRequest.onerror = (error) => {\n            db.close();\n            return reject(getRequest.error);\n          };\n          modelTx.oncomplete = () => db.close();\n        } else {\n          const modelArtifactsInfo = getModelArtifactsInfoForJSON(modelArtifacts);\n          const infoTx = db.transaction(INFO_STORE_NAME, \"readwrite\");\n          let infoStore = infoTx.objectStore(INFO_STORE_NAME);\n          const putInfoRequest = infoStore.put({ modelPath: this.modelPath, modelArtifactsInfo });\n          let modelTx;\n          putInfoRequest.onsuccess = () => {\n            modelTx = db.transaction(MODEL_STORE_NAME, \"readwrite\");\n            const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n            const putModelRequest = modelStore.put({\n              modelPath: this.modelPath,\n              modelArtifacts,\n              modelArtifactsInfo\n            });\n            putModelRequest.onsuccess = () => resolve({ modelArtifactsInfo });\n            putModelRequest.onerror = (error) => {\n              infoStore = infoTx.objectStore(INFO_STORE_NAME);\n              const deleteInfoRequest = infoStore.delete(this.modelPath);\n              deleteInfoRequest.onsuccess = () => {\n                db.close();\n                return reject(putModelRequest.error);\n              };\n              deleteInfoRequest.onerror = (error2) => {\n                db.close();\n                return reject(putModelRequest.error);\n              };\n            };\n          };\n          putInfoRequest.onerror = (error) => {\n            db.close();\n            return reject(putInfoRequest.error);\n          };\n          infoTx.oncomplete = () => {\n            if (modelTx == null) {\n              db.close();\n            } else {\n              modelTx.oncomplete = () => db.close();\n            }\n          };\n        }\n      };\n      openRequest.onerror = (error) => reject(openRequest.error);\n    });\n  }\n};\nBrowserIndexedDB.URL_SCHEME = \"indexeddb://\";\nvar indexedDBRouter = (url) => {\n  if (!env().getBool(\"IS_BROWSER\")) {\n    return null;\n  } else {\n    if (!Array.isArray(url) && url.startsWith(BrowserIndexedDB.URL_SCHEME)) {\n      return browserIndexedDB(url.slice(BrowserIndexedDB.URL_SCHEME.length));\n    } else {\n      return null;\n    }\n  }\n};\nIORouterRegistry.registerSaveRouter(indexedDBRouter);\nIORouterRegistry.registerLoadRouter(indexedDBRouter);\nfunction browserIndexedDB(modelPath) {\n  return new BrowserIndexedDB(modelPath);\n}\nfunction maybeStripScheme(key) {\n  return key.startsWith(BrowserIndexedDB.URL_SCHEME) ? key.slice(BrowserIndexedDB.URL_SCHEME.length) : key;\n}\nvar BrowserIndexedDBManager = class {\n  constructor() {\n    this.indexedDB = getIndexedDBFactory();\n  }\n  async listModels() {\n    return new Promise((resolve, reject) => {\n      const openRequest = this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n      openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n      openRequest.onsuccess = () => {\n        const db = openRequest.result;\n        const tx = db.transaction(INFO_STORE_NAME, \"readonly\");\n        const store = tx.objectStore(INFO_STORE_NAME);\n        const getAllInfoRequest = store.getAll();\n        getAllInfoRequest.onsuccess = () => {\n          const out = {};\n          for (const item of getAllInfoRequest.result) {\n            out[item.modelPath] = item.modelArtifactsInfo;\n          }\n          resolve(out);\n        };\n        getAllInfoRequest.onerror = (error) => {\n          db.close();\n          return reject(getAllInfoRequest.error);\n        };\n        tx.oncomplete = () => db.close();\n      };\n      openRequest.onerror = (error) => reject(openRequest.error);\n    });\n  }\n  async removeModel(path) {\n    path = maybeStripScheme(path);\n    return new Promise((resolve, reject) => {\n      const openRequest = this.indexedDB.open(DATABASE_NAME, DATABASE_VERSION);\n      openRequest.onupgradeneeded = () => setUpDatabase(openRequest);\n      openRequest.onsuccess = () => {\n        const db = openRequest.result;\n        const infoTx = db.transaction(INFO_STORE_NAME, \"readwrite\");\n        const infoStore = infoTx.objectStore(INFO_STORE_NAME);\n        const getInfoRequest = infoStore.get(path);\n        let modelTx;\n        getInfoRequest.onsuccess = () => {\n          if (getInfoRequest.result == null) {\n            db.close();\n            return reject(new Error(`Cannot find model with path '${path}' in IndexedDB.`));\n          } else {\n            const deleteInfoRequest = infoStore.delete(path);\n            const deleteModelData = () => {\n              modelTx = db.transaction(MODEL_STORE_NAME, \"readwrite\");\n              const modelStore = modelTx.objectStore(MODEL_STORE_NAME);\n              const deleteModelRequest = modelStore.delete(path);\n              deleteModelRequest.onsuccess = () => resolve(getInfoRequest.result.modelArtifactsInfo);\n              deleteModelRequest.onerror = (error) => reject(getInfoRequest.error);\n            };\n            deleteInfoRequest.onsuccess = deleteModelData;\n            deleteInfoRequest.onerror = (error) => {\n              deleteModelData();\n              db.close();\n              return reject(getInfoRequest.error);\n            };\n          }\n        };\n        getInfoRequest.onerror = (error) => {\n          db.close();\n          return reject(getInfoRequest.error);\n        };\n        infoTx.oncomplete = () => {\n          if (modelTx == null) {\n            db.close();\n          } else {\n            modelTx.oncomplete = () => db.close();\n          }\n        };\n      };\n      openRequest.onerror = (error) => reject(openRequest.error);\n    });\n  }\n};\nvar PATH_SEPARATOR = \"/\";\nvar PATH_PREFIX = \"tensorflowjs_models\";\nvar INFO_SUFFIX = \"info\";\nvar MODEL_TOPOLOGY_SUFFIX = \"model_topology\";\nvar WEIGHT_SPECS_SUFFIX = \"weight_specs\";\nvar WEIGHT_DATA_SUFFIX = \"weight_data\";\nvar MODEL_METADATA_SUFFIX = \"model_metadata\";\nfunction getModelKeys(path) {\n  return {\n    info: [PATH_PREFIX, path, INFO_SUFFIX].join(PATH_SEPARATOR),\n    topology: [PATH_PREFIX, path, MODEL_TOPOLOGY_SUFFIX].join(PATH_SEPARATOR),\n    weightSpecs: [PATH_PREFIX, path, WEIGHT_SPECS_SUFFIX].join(PATH_SEPARATOR),\n    weightData: [PATH_PREFIX, path, WEIGHT_DATA_SUFFIX].join(PATH_SEPARATOR),\n    modelMetadata: [PATH_PREFIX, path, MODEL_METADATA_SUFFIX].join(PATH_SEPARATOR)\n  };\n}\nfunction removeItems(keys) {\n  for (const key of Object.values(keys)) {\n    window.localStorage.removeItem(key);\n  }\n}\nfunction getModelPathFromKey(key) {\n  const items = key.split(PATH_SEPARATOR);\n  if (items.length < 3) {\n    throw new Error(`Invalid key format: ${key}`);\n  }\n  return items.slice(1, items.length - 1).join(PATH_SEPARATOR);\n}\nfunction maybeStripScheme2(key) {\n  return key.startsWith(BrowserLocalStorage.URL_SCHEME) ? key.slice(BrowserLocalStorage.URL_SCHEME.length) : key;\n}\nvar BrowserLocalStorage = class {\n  constructor(modelPath) {\n    if (!env().getBool(\"IS_BROWSER\") || typeof window === \"undefined\" || typeof window.localStorage === \"undefined\") {\n      throw new Error(\"The current environment does not support local storage.\");\n    }\n    this.LS = window.localStorage;\n    if (modelPath == null || !modelPath) {\n      throw new Error(\"For local storage, modelPath must not be null, undefined or empty.\");\n    }\n    this.modelPath = modelPath;\n    this.keys = getModelKeys(this.modelPath);\n  }\n  async save(modelArtifacts) {\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\"BrowserLocalStorage.save() does not support saving model topology in binary formats yet.\");\n    } else {\n      const topology = JSON.stringify(modelArtifacts.modelTopology);\n      const weightSpecs = JSON.stringify(modelArtifacts.weightSpecs);\n      const modelArtifactsInfo = getModelArtifactsInfoForJSON(modelArtifacts);\n      try {\n        this.LS.setItem(this.keys.info, JSON.stringify(modelArtifactsInfo));\n        this.LS.setItem(this.keys.topology, topology);\n        this.LS.setItem(this.keys.weightSpecs, weightSpecs);\n        this.LS.setItem(this.keys.weightData, arrayBufferToBase64String(modelArtifacts.weightData));\n        const metadata = {\n          format: modelArtifacts.format,\n          generatedBy: modelArtifacts.generatedBy,\n          convertedBy: modelArtifacts.convertedBy,\n          signature: modelArtifacts.signature != null ? modelArtifacts.signature : void 0,\n          userDefinedMetadata: modelArtifacts.userDefinedMetadata != null ? modelArtifacts.userDefinedMetadata : void 0,\n          modelInitializer: modelArtifacts.modelInitializer != null ? modelArtifacts.modelInitializer : void 0,\n          trainingConfig: modelArtifacts.trainingConfig != null ? modelArtifacts.trainingConfig : void 0\n        };\n        this.LS.setItem(this.keys.modelMetadata, JSON.stringify(metadata));\n        return { modelArtifactsInfo };\n      } catch (err) {\n        removeItems(this.keys);\n        throw new Error(`Failed to save model '${this.modelPath}' to local storage: size quota being exceeded is a possible cause of this failure: modelTopologyBytes=${modelArtifactsInfo.modelTopologyBytes}, weightSpecsBytes=${modelArtifactsInfo.weightSpecsBytes}, weightDataBytes=${modelArtifactsInfo.weightDataBytes}.`);\n      }\n    }\n  }\n  async load() {\n    const info = JSON.parse(this.LS.getItem(this.keys.info));\n    if (info == null) {\n      throw new Error(`In local storage, there is no model with name '${this.modelPath}'`);\n    }\n    if (info.modelTopologyType !== \"JSON\") {\n      throw new Error(\"BrowserLocalStorage does not support loading non-JSON model topology yet.\");\n    }\n    const out = {};\n    const topology = JSON.parse(this.LS.getItem(this.keys.topology));\n    if (topology == null) {\n      throw new Error(`In local storage, the topology of model '${this.modelPath}' is missing.`);\n    }\n    out.modelTopology = topology;\n    const weightSpecs = JSON.parse(this.LS.getItem(this.keys.weightSpecs));\n    if (weightSpecs == null) {\n      throw new Error(`In local storage, the weight specs of model '${this.modelPath}' are missing.`);\n    }\n    out.weightSpecs = weightSpecs;\n    const metadataString = this.LS.getItem(this.keys.modelMetadata);\n    if (metadataString != null) {\n      const metadata = JSON.parse(metadataString);\n      out.format = metadata.format;\n      out.generatedBy = metadata.generatedBy;\n      out.convertedBy = metadata.convertedBy;\n      if (metadata.signature != null) {\n        out.signature = metadata.signature;\n      }\n      if (metadata.userDefinedMetadata != null) {\n        out.userDefinedMetadata = metadata.userDefinedMetadata;\n      }\n      if (metadata.modelInitializer != null) {\n        out.modelInitializer = metadata.modelInitializer;\n      }\n      if (metadata.trainingConfig != null) {\n        out.trainingConfig = metadata.trainingConfig;\n      }\n    }\n    const weightDataBase64 = this.LS.getItem(this.keys.weightData);\n    if (weightDataBase64 == null) {\n      throw new Error(`In local storage, the binary weight values of model '${this.modelPath}' are missing.`);\n    }\n    out.weightData = base64StringToArrayBuffer(weightDataBase64);\n    return out;\n  }\n};\nBrowserLocalStorage.URL_SCHEME = \"localstorage://\";\nvar localStorageRouter = (url) => {\n  if (!env().getBool(\"IS_BROWSER\")) {\n    return null;\n  } else {\n    if (!Array.isArray(url) && url.startsWith(BrowserLocalStorage.URL_SCHEME)) {\n      return browserLocalStorage(url.slice(BrowserLocalStorage.URL_SCHEME.length));\n    } else {\n      return null;\n    }\n  }\n};\nIORouterRegistry.registerSaveRouter(localStorageRouter);\nIORouterRegistry.registerLoadRouter(localStorageRouter);\nfunction browserLocalStorage(modelPath) {\n  return new BrowserLocalStorage(modelPath);\n}\nvar BrowserLocalStorageManager = class {\n  constructor() {\n    assert(env().getBool(\"IS_BROWSER\"), () => \"Current environment is not a web browser\");\n    assert(typeof window === \"undefined\" || typeof window.localStorage !== \"undefined\", () => \"Current browser does not appear to support localStorage\");\n    this.LS = window.localStorage;\n  }\n  async listModels() {\n    const out = {};\n    const prefix = PATH_PREFIX + PATH_SEPARATOR;\n    const suffix = PATH_SEPARATOR + INFO_SUFFIX;\n    for (let i = 0; i < this.LS.length; ++i) {\n      const key = this.LS.key(i);\n      if (key.startsWith(prefix) && key.endsWith(suffix)) {\n        const modelPath = getModelPathFromKey(key);\n        out[modelPath] = JSON.parse(this.LS.getItem(key));\n      }\n    }\n    return out;\n  }\n  async removeModel(path) {\n    path = maybeStripScheme2(path);\n    const keys = getModelKeys(path);\n    if (this.LS.getItem(keys.info) == null) {\n      throw new Error(`Cannot find model at path '${path}'`);\n    }\n    const info = JSON.parse(this.LS.getItem(keys.info));\n    removeItems(keys);\n    return info;\n  }\n};\nvar URL_SCHEME_SUFFIX = \"://\";\nvar ModelStoreManagerRegistry = class {\n  constructor() {\n    this.managers = {};\n  }\n  static getInstance() {\n    if (ModelStoreManagerRegistry.instance == null) {\n      ModelStoreManagerRegistry.instance = new ModelStoreManagerRegistry();\n    }\n    return ModelStoreManagerRegistry.instance;\n  }\n  static registerManager(scheme, manager) {\n    assert(scheme != null, () => \"scheme must not be undefined or null.\");\n    if (scheme.endsWith(URL_SCHEME_SUFFIX)) {\n      scheme = scheme.slice(0, scheme.indexOf(URL_SCHEME_SUFFIX));\n    }\n    assert(scheme.length > 0, () => \"scheme must not be an empty string.\");\n    const registry = ModelStoreManagerRegistry.getInstance();\n    assert(registry.managers[scheme] == null, () => `A model store manager is already registered for scheme '${scheme}'.`);\n    registry.managers[scheme] = manager;\n  }\n  static getManager(scheme) {\n    const manager = this.getInstance().managers[scheme];\n    if (manager == null) {\n      throw new Error(`Cannot find model manager for scheme '${scheme}'`);\n    }\n    return manager;\n  }\n  static getSchemes() {\n    return Object.keys(this.getInstance().managers);\n  }\n};\nfunction parseURL(url) {\n  if (url.indexOf(URL_SCHEME_SUFFIX) === -1) {\n    throw new Error(`The url string provided does not contain a scheme. Supported schemes are: ${ModelStoreManagerRegistry.getSchemes().join(\",\")}`);\n  }\n  return {\n    scheme: url.split(URL_SCHEME_SUFFIX)[0],\n    path: url.split(URL_SCHEME_SUFFIX)[1]\n  };\n}\nasync function cloneModelInternal(sourceURL, destURL, deleteSource = false) {\n  assert(sourceURL !== destURL, () => `Old path and new path are the same: '${sourceURL}'`);\n  const loadHandlers = IORouterRegistry.getLoadHandlers(sourceURL);\n  assert(loadHandlers.length > 0, () => `Copying failed because no load handler is found for source URL ${sourceURL}.`);\n  assert(loadHandlers.length < 2, () => `Copying failed because more than one (${loadHandlers.length}) load handlers for source URL ${sourceURL}.`);\n  const loadHandler = loadHandlers[0];\n  const saveHandlers = IORouterRegistry.getSaveHandlers(destURL);\n  assert(saveHandlers.length > 0, () => `Copying failed because no save handler is found for destination URL ${destURL}.`);\n  assert(saveHandlers.length < 2, () => `Copying failed because more than one (${loadHandlers.length}) save handlers for destination URL ${destURL}.`);\n  const saveHandler = saveHandlers[0];\n  const sourceScheme = parseURL(sourceURL).scheme;\n  const sourcePath = parseURL(sourceURL).path;\n  const sameMedium = sourceScheme === parseURL(sourceURL).scheme;\n  const modelArtifacts = await loadHandler.load();\n  if (deleteSource && sameMedium) {\n    await ModelStoreManagerRegistry.getManager(sourceScheme).removeModel(sourcePath);\n  }\n  const saveResult = await saveHandler.save(modelArtifacts);\n  if (deleteSource && !sameMedium) {\n    await ModelStoreManagerRegistry.getManager(sourceScheme).removeModel(sourcePath);\n  }\n  return saveResult.modelArtifactsInfo;\n}\nasync function listModels() {\n  const schemes = ModelStoreManagerRegistry.getSchemes();\n  const out = {};\n  for (const scheme of schemes) {\n    const schemeOut = await ModelStoreManagerRegistry.getManager(scheme).listModels();\n    for (const path in schemeOut) {\n      const url = scheme + URL_SCHEME_SUFFIX + path;\n      out[url] = schemeOut[path];\n    }\n  }\n  return out;\n}\nasync function removeModel(url) {\n  const schemeAndPath = parseURL(url);\n  const manager = ModelStoreManagerRegistry.getManager(schemeAndPath.scheme);\n  return manager.removeModel(schemeAndPath.path);\n}\nasync function copyModel(sourceURL, destURL) {\n  const deleteSource = false;\n  return cloneModelInternal(sourceURL, destURL, deleteSource);\n}\nasync function moveModel(sourceURL, destURL) {\n  const deleteSource = true;\n  return cloneModelInternal(sourceURL, destURL, deleteSource);\n}\nvar PlatformBrowser = class {\n  fetch(path, init2) {\n    return fetch(path, init2);\n  }\n  now() {\n    return performance.now();\n  }\n  encode(text, encoding) {\n    if (encoding !== \"utf-8\" && encoding !== \"utf8\") {\n      throw new Error(`Browser's encoder only supports utf-8, but got ${encoding}`);\n    }\n    if (this.textEncoder == null) {\n      this.textEncoder = new TextEncoder();\n    }\n    return this.textEncoder.encode(text);\n  }\n  decode(bytes, encoding) {\n    return new TextDecoder(encoding).decode(bytes);\n  }\n};\nif (env().get(\"IS_BROWSER\")) {\n  env().setPlatform(\"browser\", new PlatformBrowser());\n  try {\n    ModelStoreManagerRegistry.registerManager(BrowserLocalStorage.URL_SCHEME, new BrowserLocalStorageManager());\n  } catch (err) {\n  }\n  try {\n    ModelStoreManagerRegistry.registerManager(BrowserIndexedDB.URL_SCHEME, new BrowserIndexedDBManager());\n  } catch (err) {\n  }\n}\nvar getNodeFetch = {\n  importFetch: () => require_node_fetch()\n};\nvar systemFetch;\nvar PlatformNode = class {\n  constructor() {\n    this.util = require_util();\n    this.textEncoder = new this.util.TextEncoder();\n  }\n  fetch(path, requestInits) {\n    if (env().global.fetch != null) {\n      return env().global.fetch(path, requestInits);\n    }\n    if (systemFetch == null) {\n      systemFetch = getNodeFetch.importFetch();\n    }\n    return systemFetch(path, requestInits);\n  }\n  now() {\n    const time2 = process.hrtime();\n    return time2[0] * 1e3 + time2[1] / 1e6;\n  }\n  encode(text, encoding) {\n    if (encoding !== \"utf-8\" && encoding !== \"utf8\") {\n      throw new Error(`Node built-in encoder only supports utf-8, but got ${encoding}`);\n    }\n    return this.textEncoder.encode(text);\n  }\n  decode(bytes, encoding) {\n    if (bytes.length === 0) {\n      return \"\";\n    }\n    return new this.util.TextDecoder(encoding).decode(bytes);\n  }\n};\nif (env().get(\"IS_NODE\")) {\n  env().setPlatform(\"node\", new PlatformNode());\n}\nfunction buffer(shape, dtype = \"float32\", values) {\n  dtype = dtype || \"float32\";\n  assertNonNegativeIntegerDimensions(shape);\n  return new TensorBuffer(shape, dtype, values);\n}\nfunction cast_(x, dtype) {\n  const $x = convertToTensor(x, \"x\", \"cast\");\n  if (!isValidDtype(dtype)) {\n    throw new Error(`Failed to cast to unknown dtype ${dtype}`);\n  }\n  if (dtype === \"string\" && $x.dtype !== \"string\" || dtype !== \"string\" && $x.dtype === \"string\") {\n    throw new Error(\"Only strings can be casted to strings\");\n  }\n  const inputs = { x: $x };\n  const attrs = { dtype };\n  return ENGINE.runKernel(Cast, inputs, attrs);\n}\nvar cast = op({ cast_ });\nfunction clone_(x) {\n  const $x = convertToTensor(x, \"x\", \"clone\", \"string_or_numeric\");\n  const inputs = { x: $x };\n  return ENGINE.runKernel(Identity, inputs);\n}\nvar clone = op({ clone_ });\nfunction print2(x, verbose = false) {\n  console.log(x.toString(verbose));\n}\ngetOrMakeEngine();\nvar opHandler2 = {\n  buffer,\n  cast,\n  clone,\n  print: print2\n};\nsetOpHandler(opHandler2);\nvar io_exports = {};\n__export(io_exports, {\n  browserFiles: () => browserFiles,\n  browserHTTPRequest: () => browserHTTPRequest,\n  concatenateArrayBuffers: () => concatenateArrayBuffers,\n  copyModel: () => copyModel,\n  decodeWeights: () => decodeWeights,\n  encodeWeights: () => encodeWeights,\n  fromMemory: () => fromMemory,\n  getLoadHandlers: () => getLoadHandlers,\n  getModelArtifactsForJSON: () => getModelArtifactsForJSON,\n  getModelArtifactsInfoForJSON: () => getModelArtifactsInfoForJSON,\n  getSaveHandlers: () => getSaveHandlers,\n  http: () => http,\n  isHTTPScheme: () => isHTTPScheme,\n  listModels: () => listModels,\n  loadWeights: () => loadWeights,\n  moveModel: () => moveModel,\n  registerLoadRouter: () => registerLoadRouter,\n  registerSaveRouter: () => registerSaveRouter,\n  removeModel: () => removeModel,\n  weightsLoaderFactory: () => weightsLoaderFactory,\n  withSaveHandler: () => withSaveHandler\n});\nvar DEFAULT_FILE_NAME_PREFIX = \"model\";\nvar DEFAULT_JSON_EXTENSION_NAME = \".json\";\nvar DEFAULT_WEIGHT_DATA_EXTENSION_NAME = \".weights.bin\";\nfunction defer(f) {\n  return new Promise((resolve) => setTimeout(resolve)).then(f);\n}\nvar _BrowserDownloads = class {\n  constructor(fileNamePrefix) {\n    if (!env().getBool(\"IS_BROWSER\")) {\n      throw new Error(\"browserDownloads() cannot proceed because the current environment is not a browser.\");\n    }\n    if (fileNamePrefix.startsWith(_BrowserDownloads.URL_SCHEME)) {\n      fileNamePrefix = fileNamePrefix.slice(_BrowserDownloads.URL_SCHEME.length);\n    }\n    if (fileNamePrefix == null || fileNamePrefix.length === 0) {\n      fileNamePrefix = DEFAULT_FILE_NAME_PREFIX;\n    }\n    this.modelJsonFileName = fileNamePrefix + DEFAULT_JSON_EXTENSION_NAME;\n    this.weightDataFileName = fileNamePrefix + DEFAULT_WEIGHT_DATA_EXTENSION_NAME;\n  }\n  async save(modelArtifacts) {\n    if (typeof document === \"undefined\") {\n      throw new Error(\"Browser downloads are not supported in this environment since `document` is not present\");\n    }\n    const weightsURL = window.URL.createObjectURL(new Blob([modelArtifacts.weightData], { type: \"application/octet-stream\" }));\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\"BrowserDownloads.save() does not support saving model topology in binary formats yet.\");\n    } else {\n      const weightsManifest = [{\n        paths: [\"./\" + this.weightDataFileName],\n        weights: modelArtifacts.weightSpecs\n      }];\n      const modelJSON = getModelJSONForModelArtifacts(modelArtifacts, weightsManifest);\n      const modelJsonURL = window.URL.createObjectURL(new Blob([JSON.stringify(modelJSON)], { type: \"application/json\" }));\n      const jsonAnchor = this.modelJsonAnchor == null ? document.createElement(\"a\") : this.modelJsonAnchor;\n      jsonAnchor.download = this.modelJsonFileName;\n      jsonAnchor.href = modelJsonURL;\n      await defer(() => jsonAnchor.dispatchEvent(new MouseEvent(\"click\")));\n      if (modelArtifacts.weightData != null) {\n        const weightDataAnchor = this.weightDataAnchor == null ? document.createElement(\"a\") : this.weightDataAnchor;\n        weightDataAnchor.download = this.weightDataFileName;\n        weightDataAnchor.href = weightsURL;\n        await defer(() => weightDataAnchor.dispatchEvent(new MouseEvent(\"click\")));\n      }\n      return { modelArtifactsInfo: getModelArtifactsInfoForJSON(modelArtifacts) };\n    }\n  }\n};\nvar BrowserDownloads = _BrowserDownloads;\nBrowserDownloads.URL_SCHEME = \"downloads://\";\nvar BrowserFiles = class {\n  constructor(files) {\n    if (files == null || files.length < 1) {\n      throw new Error(`When calling browserFiles, at least 1 file is required, but received ${files}`);\n    }\n    this.jsonFile = files[0];\n    this.weightsFiles = files.slice(1);\n  }\n  async load() {\n    return new Promise((resolve, reject) => {\n      const jsonReader = new FileReader();\n      jsonReader.onload = (event) => {\n        const modelJSON = JSON.parse(event.target.result);\n        const modelTopology = modelJSON.modelTopology;\n        if (modelTopology == null) {\n          reject(new Error(`modelTopology field is missing from file ${this.jsonFile.name}`));\n          return;\n        }\n        const weightsManifest = modelJSON.weightsManifest;\n        if (weightsManifest == null) {\n          reject(new Error(`weightManifest field is missing from file ${this.jsonFile.name}`));\n          return;\n        }\n        if (this.weightsFiles.length === 0) {\n          resolve({ modelTopology });\n          return;\n        }\n        const modelArtifactsPromise = getModelArtifactsForJSON(modelJSON, (weightsManifest2) => this.loadWeights(weightsManifest2));\n        resolve(modelArtifactsPromise);\n      };\n      jsonReader.onerror = (error) => reject(`Failed to read model topology and weights manifest JSON from file '${this.jsonFile.name}'. BrowserFiles supports loading Keras-style tf.Model artifacts only.`);\n      jsonReader.readAsText(this.jsonFile);\n    });\n  }\n  loadWeights(weightsManifest) {\n    const weightSpecs = [];\n    const paths = [];\n    for (const entry of weightsManifest) {\n      weightSpecs.push(...entry.weights);\n      paths.push(...entry.paths);\n    }\n    const pathToFile = this.checkManifestAndWeightFiles(weightsManifest);\n    const promises = paths.map((path) => this.loadWeightsFile(path, pathToFile[path]));\n    return Promise.all(promises).then((buffers) => [weightSpecs, concatenateArrayBuffers(buffers)]);\n  }\n  loadWeightsFile(path, file) {\n    return new Promise((resolve, reject) => {\n      const weightFileReader = new FileReader();\n      weightFileReader.onload = (event) => {\n        const weightData = event.target.result;\n        resolve(weightData);\n      };\n      weightFileReader.onerror = (error) => reject(`Failed to weights data from file of path '${path}'.`);\n      weightFileReader.readAsArrayBuffer(file);\n    });\n  }\n  checkManifestAndWeightFiles(manifest) {\n    const basenames = [];\n    const fileNames = this.weightsFiles.map((file) => basename(file.name));\n    const pathToFile = {};\n    for (const group of manifest) {\n      group.paths.forEach((path) => {\n        const pathBasename = basename(path);\n        if (basenames.indexOf(pathBasename) !== -1) {\n          throw new Error(`Duplicate file basename found in weights manifest: '${pathBasename}'`);\n        }\n        basenames.push(pathBasename);\n        if (fileNames.indexOf(pathBasename) === -1) {\n          throw new Error(`Weight file with basename '${pathBasename}' is not provided.`);\n        } else {\n          pathToFile[path] = this.weightsFiles[fileNames.indexOf(pathBasename)];\n        }\n      });\n    }\n    if (basenames.length !== this.weightsFiles.length) {\n      throw new Error(`Mismatch in the number of files in weights manifest (${basenames.length}) and the number of weight files provided (${this.weightsFiles.length}).`);\n    }\n    return pathToFile;\n  }\n};\nvar browserDownloadsRouter = (url) => {\n  if (!env().getBool(\"IS_BROWSER\")) {\n    return null;\n  } else {\n    if (!Array.isArray(url) && url.startsWith(BrowserDownloads.URL_SCHEME)) {\n      return browserDownloads(url.slice(BrowserDownloads.URL_SCHEME.length));\n    } else {\n      return null;\n    }\n  }\n};\nIORouterRegistry.registerSaveRouter(browserDownloadsRouter);\nfunction browserDownloads(fileNamePrefix = \"model\") {\n  return new BrowserDownloads(fileNamePrefix);\n}\nfunction browserFiles(files) {\n  return new BrowserFiles(files);\n}\nfunction monitorPromisesProgress(promises, onProgress, startFraction, endFraction) {\n  checkPromises(promises);\n  startFraction = startFraction == null ? 0 : startFraction;\n  endFraction = endFraction == null ? 1 : endFraction;\n  checkFraction(startFraction, endFraction);\n  let resolvedPromise = 0;\n  const registerMonitor = (promise) => {\n    promise.then((value) => {\n      const fraction = startFraction + ++resolvedPromise / promises.length * (endFraction - startFraction);\n      onProgress(fraction);\n      return value;\n    });\n    return promise;\n  };\n  function checkPromises(promises2) {\n    assert(promises2 != null && Array.isArray(promises2) && promises2.length > 0, () => \"promises must be a none empty array\");\n  }\n  function checkFraction(startFraction2, endFraction2) {\n    assert(startFraction2 >= 0 && startFraction2 <= 1, () => `Progress fraction must be in range [0, 1], but got startFraction ${startFraction2}`);\n    assert(endFraction2 >= 0 && endFraction2 <= 1, () => `Progress fraction must be in range [0, 1], but got endFraction ${endFraction2}`);\n    assert(endFraction2 >= startFraction2, () => `startFraction must be no more than endFraction, but got startFraction ${startFraction2} and endFraction ${endFraction2}`);\n  }\n  return Promise.all(promises.map(registerMonitor));\n}\nasync function loadWeightsAsArrayBuffer(fetchURLs, loadOptions) {\n  if (loadOptions == null) {\n    loadOptions = {};\n  }\n  const fetchFunc = loadOptions.fetchFunc == null ? env().platform.fetch : loadOptions.fetchFunc;\n  const requests = fetchURLs.map((fetchURL) => fetchFunc(fetchURL, loadOptions.requestInit, { isBinary: true }));\n  const fetchStartFraction = 0;\n  const fetchEndFraction = 0.5;\n  const responses = loadOptions.onProgress == null ? await Promise.all(requests) : await monitorPromisesProgress(requests, loadOptions.onProgress, fetchStartFraction, fetchEndFraction);\n  const bufferPromises = responses.map((response) => response.arrayBuffer());\n  const bufferStartFraction = 0.5;\n  const bufferEndFraction = 1;\n  const buffers = loadOptions.onProgress == null ? await Promise.all(bufferPromises) : await monitorPromisesProgress(bufferPromises, loadOptions.onProgress, bufferStartFraction, bufferEndFraction);\n  return buffers;\n}\nasync function loadWeights(manifest, filePathPrefix = \"\", weightNames, requestInit) {\n  const fetchWeights = (fetchUrls) => loadWeightsAsArrayBuffer(fetchUrls, { requestInit });\n  const loadWeights2 = weightsLoaderFactory(fetchWeights);\n  return loadWeights2(manifest, filePathPrefix, weightNames);\n}\nfunction weightsLoaderFactory(fetchWeightsFunction) {\n  return async (manifest, filePathPrefix = \"\", weightNames) => {\n    const groupIndicesToFetchMap = manifest.map(() => false);\n    const groupWeightsToFetch = {};\n    const weightsFound = weightNames != null ? weightNames.map(() => false) : [];\n    const allManifestWeightNames = [];\n    manifest.forEach((manifestGroupConfig, groupIndex) => {\n      let groupOffset = 0;\n      manifestGroupConfig.weights.forEach((weightsEntry) => {\n        const rawDtype = \"quantization\" in weightsEntry ? weightsEntry.quantization.dtype : weightsEntry.dtype;\n        const weightsBytes = DTYPE_VALUE_SIZE_MAP[rawDtype] * sizeFromShape(weightsEntry.shape);\n        const enqueueWeightsForFetchingFn = () => {\n          groupIndicesToFetchMap[groupIndex] = true;\n          if (groupWeightsToFetch[groupIndex] == null) {\n            groupWeightsToFetch[groupIndex] = [];\n          }\n          groupWeightsToFetch[groupIndex].push({\n            manifestEntry: weightsEntry,\n            groupOffset,\n            sizeBytes: weightsBytes\n          });\n        };\n        if (weightNames != null) {\n          weightNames.forEach((weightName, weightIndex) => {\n            if (weightName === weightsEntry.name) {\n              enqueueWeightsForFetchingFn();\n              weightsFound[weightIndex] = true;\n            }\n          });\n        } else {\n          enqueueWeightsForFetchingFn();\n        }\n        allManifestWeightNames.push(weightsEntry.name);\n        groupOffset += weightsBytes;\n      });\n    });\n    if (!weightsFound.every((found) => found)) {\n      const weightsNotFound = weightNames.filter((_, i) => !weightsFound[i]);\n      throw new Error(`Could not find weights in manifest with names: ${weightsNotFound.join(\", \")}. \nManifest JSON has weights with names: ${allManifestWeightNames.join(\", \")}.`);\n    }\n    const groupIndicesToFetch = groupIndicesToFetchMap.reduce((accumulator, shouldFetch, i) => {\n      if (shouldFetch) {\n        accumulator.push(i);\n      }\n      return accumulator;\n    }, []);\n    const fetchUrls = [];\n    groupIndicesToFetch.forEach((i) => {\n      manifest[i].paths.forEach((filepath) => {\n        const fetchUrl = filePathPrefix + (!filePathPrefix.endsWith(\"/\") ? \"/\" : \"\") + filepath;\n        fetchUrls.push(fetchUrl);\n      });\n    });\n    const buffers = await fetchWeightsFunction(fetchUrls);\n    const weightsTensorMap = {};\n    let bufferIndexOffset = 0;\n    groupIndicesToFetch.forEach((i) => {\n      const numBuffers = manifest[i].paths.length;\n      let groupBytes = 0;\n      for (let i2 = 0; i2 < numBuffers; i2++) {\n        groupBytes += buffers[bufferIndexOffset + i2].byteLength;\n      }\n      const groupBuffer = new ArrayBuffer(groupBytes);\n      const groupByteBuffer = new Uint8Array(groupBuffer);\n      let groupBufferOffset = 0;\n      for (let i2 = 0; i2 < numBuffers; i2++) {\n        const buffer2 = new Uint8Array(buffers[bufferIndexOffset + i2]);\n        groupByteBuffer.set(buffer2, groupBufferOffset);\n        groupBufferOffset += buffer2.byteLength;\n      }\n      const weightsEntries = groupWeightsToFetch[i];\n      weightsEntries.forEach((weightsEntry) => {\n        const byteBuffer = groupBuffer.slice(weightsEntry.groupOffset, weightsEntry.groupOffset + weightsEntry.sizeBytes);\n        const nameToTensorMap = decodeWeights(byteBuffer, [weightsEntry.manifestEntry]);\n        for (const name in nameToTensorMap) {\n          weightsTensorMap[name] = nameToTensorMap[name];\n        }\n      });\n      bufferIndexOffset += numBuffers;\n    });\n    return weightsTensorMap;\n  };\n}\nvar OCTET_STREAM_MIME_TYPE = \"application/octet-stream\";\nvar JSON_TYPE = \"application/json\";\nvar HTTPRequest = class {\n  constructor(path, loadOptions) {\n    this.DEFAULT_METHOD = \"POST\";\n    if (loadOptions == null) {\n      loadOptions = {};\n    }\n    this.weightPathPrefix = loadOptions.weightPathPrefix;\n    this.onProgress = loadOptions.onProgress;\n    this.weightUrlConverter = loadOptions.weightUrlConverter;\n    if (loadOptions.fetchFunc != null) {\n      assert(typeof loadOptions.fetchFunc === \"function\", () => \"Must pass a function that matches the signature of `fetch` (see https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API)\");\n      this.fetch = loadOptions.fetchFunc;\n    } else {\n      this.fetch = env().platform.fetch;\n    }\n    assert(path != null && path.length > 0, () => \"URL path for http must not be null, undefined or empty.\");\n    if (Array.isArray(path)) {\n      assert(path.length === 2, () => `URL paths for http must have a length of 2, (actual length is ${path.length}).`);\n    }\n    this.path = path;\n    if (loadOptions.requestInit != null && loadOptions.requestInit.body != null) {\n      throw new Error(\"requestInit is expected to have no pre-existing body, but has one.\");\n    }\n    this.requestInit = loadOptions.requestInit || {};\n  }\n  async save(modelArtifacts) {\n    if (modelArtifacts.modelTopology instanceof ArrayBuffer) {\n      throw new Error(\"BrowserHTTPRequest.save() does not support saving model topology in binary formats yet.\");\n    }\n    const init2 = Object.assign({ method: this.DEFAULT_METHOD }, this.requestInit);\n    init2.body = new FormData();\n    const weightsManifest = [{\n      paths: [\"./model.weights.bin\"],\n      weights: modelArtifacts.weightSpecs\n    }];\n    const modelTopologyAndWeightManifest = getModelJSONForModelArtifacts(modelArtifacts, weightsManifest);\n    init2.body.append(\"model.json\", new Blob([JSON.stringify(modelTopologyAndWeightManifest)], { type: JSON_TYPE }), \"model.json\");\n    if (modelArtifacts.weightData != null) {\n      init2.body.append(\"model.weights.bin\", new Blob([modelArtifacts.weightData], { type: OCTET_STREAM_MIME_TYPE }), \"model.weights.bin\");\n    }\n    const response = await this.fetch(this.path, init2);\n    if (response.ok) {\n      return {\n        modelArtifactsInfo: getModelArtifactsInfoForJSON(modelArtifacts),\n        responses: [response]\n      };\n    } else {\n      throw new Error(`BrowserHTTPRequest.save() failed due to HTTP response status ${response.status}.`);\n    }\n  }\n  async load() {\n    const modelConfigRequest = await this.fetch(this.path, this.requestInit);\n    if (!modelConfigRequest.ok) {\n      throw new Error(`Request to ${this.path} failed with status code ${modelConfigRequest.status}. Please verify this URL points to the model JSON of the model to load.`);\n    }\n    let modelJSON;\n    try {\n      modelJSON = await modelConfigRequest.json();\n    } catch (e) {\n      let message = `Failed to parse model JSON of response from ${this.path}.`;\n      if (this.path.endsWith(\".pb\")) {\n        message += \" 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.\";\n      } else {\n        message += \" Please make sure the server is serving valid JSON for this request.\";\n      }\n      throw new Error(message);\n    }\n    const modelTopology = modelJSON.modelTopology;\n    const weightsManifest = modelJSON.weightsManifest;\n    if (modelTopology == null && weightsManifest == null) {\n      throw new Error(`The JSON from HTTP path ${this.path} contains neither model topology or manifest for weights.`);\n    }\n    return getModelArtifactsForJSON(modelJSON, (weightsManifest2) => this.loadWeights(weightsManifest2));\n  }\n  async loadWeights(weightsManifest) {\n    const weightPath = Array.isArray(this.path) ? this.path[1] : this.path;\n    const [prefix, suffix] = parseUrl(weightPath);\n    const pathPrefix = this.weightPathPrefix || prefix;\n    const weightSpecs = [];\n    for (const entry of weightsManifest) {\n      weightSpecs.push(...entry.weights);\n    }\n    const fetchURLs = [];\n    const urlPromises = [];\n    for (const weightsGroup of weightsManifest) {\n      for (const path of weightsGroup.paths) {\n        if (this.weightUrlConverter != null) {\n          urlPromises.push(this.weightUrlConverter(path));\n        } else {\n          fetchURLs.push(pathPrefix + path + suffix);\n        }\n      }\n    }\n    if (this.weightUrlConverter) {\n      fetchURLs.push(...await Promise.all(urlPromises));\n    }\n    const buffers = await loadWeightsAsArrayBuffer(fetchURLs, {\n      requestInit: this.requestInit,\n      fetchFunc: this.fetch,\n      onProgress: this.onProgress\n    });\n    return [weightSpecs, concatenateArrayBuffers(buffers)];\n  }\n};\nHTTPRequest.URL_SCHEME_REGEX = /^https?:\\/\\//;\nfunction parseUrl(url) {\n  const lastSlash = url.lastIndexOf(\"/\");\n  const lastSearchParam = url.lastIndexOf(\"?\");\n  const prefix = url.substring(0, lastSlash);\n  const suffix = lastSearchParam > lastSlash ? url.substring(lastSearchParam) : \"\";\n  return [prefix + \"/\", suffix];\n}\nfunction isHTTPScheme(url) {\n  return url.match(HTTPRequest.URL_SCHEME_REGEX) != null;\n}\nvar httpRouter = (url, loadOptions) => {\n  if (typeof fetch === \"undefined\" && (loadOptions == null || loadOptions.fetchFunc == null)) {\n    return null;\n  } else {\n    let isHTTP = true;\n    if (Array.isArray(url)) {\n      isHTTP = url.every((urlItem) => isHTTPScheme(urlItem));\n    } else {\n      isHTTP = isHTTPScheme(url);\n    }\n    if (isHTTP) {\n      return http(url, loadOptions);\n    }\n  }\n  return null;\n};\nIORouterRegistry.registerSaveRouter(httpRouter);\nIORouterRegistry.registerLoadRouter(httpRouter);\nfunction http(path, loadOptions) {\n  return new HTTPRequest(path, loadOptions);\n}\nfunction browserHTTPRequest(path, loadOptions) {\n  return http(path, loadOptions);\n}\nvar PassthroughLoader = class {\n  constructor(modelArtifacts) {\n    this.modelArtifacts = modelArtifacts;\n  }\n  async load() {\n    return this.modelArtifacts;\n  }\n};\nvar PassthroughSaver = class {\n  constructor(saveHandler) {\n    this.saveHandler = saveHandler;\n  }\n  async save(modelArtifacts) {\n    return this.saveHandler(modelArtifacts);\n  }\n};\nfunction fromMemory(modelArtifacts, weightSpecs, weightData, trainingConfig) {\n  if (arguments.length === 1) {\n    const isModelArtifacts = modelArtifacts.modelTopology != null || modelArtifacts.weightSpecs != null;\n    if (isModelArtifacts) {\n      return new PassthroughLoader(modelArtifacts);\n    } else {\n      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.\");\n      return new PassthroughLoader({ modelTopology: modelArtifacts });\n    }\n  } else {\n    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.\");\n    return new PassthroughLoader({\n      modelTopology: modelArtifacts,\n      weightSpecs,\n      weightData,\n      trainingConfig\n    });\n  }\n}\nfunction withSaveHandler(saveHandler) {\n  return new PassthroughSaver(saveHandler);\n}\nvar math_exports = {};\n__export(math_exports, {\n  confusionMatrix: () => confusionMatrix\n});\nfunction matMul_(a, b, transposeA = false, transposeB = false) {\n  let $a = convertToTensor(a, \"a\", \"matMul\");\n  let $b = convertToTensor(b, \"b\", \"matMul\");\n  [$a, $b] = makeTypesMatch($a, $b);\n  const inputs = { a: $a, b: $b };\n  const attrs = { transposeA, transposeB };\n  return ENGINE.runKernel(BatchMatMul, inputs, attrs);\n}\nvar matMul = op({ matMul_ });\nfunction oneHot_(indices, depth, onValue = 1, offValue = 0) {\n  if (depth < 2) {\n    throw new Error(`Error in oneHot: depth must be >=2, but it is ${depth}`);\n  }\n  const $indices = convertToTensor(indices, \"indices\", \"oneHot\", \"int32\");\n  const inputs = { indices: $indices };\n  const attrs = { depth, onValue, offValue };\n  return ENGINE.runKernel(OneHot, inputs, attrs);\n}\nvar oneHot = op({ oneHot_ });\nfunction transpose_(x, perm) {\n  const $x = convertToTensor(x, \"x\", \"transpose\");\n  if (perm == null) {\n    perm = $x.shape.map((s, i) => i).reverse();\n  }\n  assert($x.rank === perm.length, () => `Error in transpose: rank of input ${$x.rank} must match length of perm ${perm}.`);\n  perm.forEach((axis) => {\n    assert(axis >= 0 && axis < $x.rank, () => `All entries in 'perm' must be between 0 and ${$x.rank - 1} but got ${perm}`);\n  });\n  if ($x.rank <= 1) {\n    return $x.clone();\n  }\n  const inputs = { x: $x };\n  const attrs = { perm };\n  return ENGINE.runKernel(Transpose, inputs, attrs);\n}\nvar transpose = op({ transpose_ });\nfunction confusionMatrix_(labels, predictions, numClasses) {\n  const $labels = convertToTensor(labels, \"labels\", \"confusionMatrix\");\n  const $predictions = convertToTensor(predictions, \"predictions\", \"confusionMatrix\");\n  assert(numClasses == null || numClasses > 0 && Number.isInteger(numClasses), () => `If provided, numClasses must be a positive integer, but got ${numClasses}`);\n  assert($labels.rank === 1, () => `Expected the rank of labels to be 1, but got ${$labels.rank}`);\n  assert($predictions.rank === 1, () => `Expected the rank of predictions to be 1, but got ${$predictions.rank}`);\n  assert($labels.shape[0] === $predictions.shape[0], () => `Mismatch in the number of examples: ${$labels.shape[0]} vs. ${$predictions.shape[0]}. Labels and predictions should have the same number of elements.`);\n  assert(numClasses > 0 && Number.isInteger(numClasses), () => `numClasses is required to be a positive integer, but got ${numClasses}`);\n  const oneHotLabels = oneHot(cast($labels, \"int32\"), numClasses);\n  const oneHotPredictions = oneHot(cast($predictions, \"int32\"), numClasses);\n  const oneHotLabelsT = transpose(oneHotLabels);\n  const product = matMul(oneHotLabelsT, oneHotPredictions);\n  return cast(product, \"int32\");\n}\nvar confusionMatrix = op({ confusionMatrix_ });\nvar broadcast_util_exports = {};\n__export(broadcast_util_exports, {\n  assertAndGetBroadcastShape: () => assertAndGetBroadcastShape,\n  getBroadcastDims: () => getBroadcastDims,\n  getReductionAxes: () => getReductionAxes\n});\nfunction getBroadcastDims(inShape, outShape) {\n  const inRank = inShape.length;\n  const dims = [];\n  for (let i = 0; i < inRank; i++) {\n    const dim = inRank - 1 - i;\n    const a = inShape[dim] || 1;\n    const b = outShape[outShape.length - 1 - i] || 1;\n    if (b > 1 && a === 1) {\n      dims.unshift(dim);\n    }\n  }\n  return dims;\n}\nfunction getReductionAxes(inShape, outShape) {\n  const result = [];\n  for (let i = 0; i < outShape.length; i++) {\n    const inDim = inShape[inShape.length - i - 1];\n    const outAxis = outShape.length - i - 1;\n    const outDim = outShape[outAxis];\n    if (inDim == null || inDim === 1 && outDim > 1) {\n      result.unshift(outAxis);\n    }\n  }\n  return result;\n}\nfunction assertAndGetBroadcastShape(shapeA, shapeB) {\n  const result = [];\n  const l = Math.max(shapeA.length, shapeB.length);\n  for (let i = 0; i < l; i++) {\n    let a = shapeA[shapeA.length - i - 1];\n    if (a == null) {\n      a = 1;\n    }\n    let b = shapeB[shapeB.length - i - 1];\n    if (b == null) {\n      b = 1;\n    }\n    if (a === 1) {\n      result.unshift(b);\n    } else if (b === 1) {\n      result.unshift(a);\n    } else if (a !== b) {\n      const errMsg = `Operands could not be broadcast together with shapes ${shapeA} and ${shapeB}.`;\n      throw Error(errMsg);\n    } else {\n      result.unshift(a);\n    }\n  }\n  return result;\n}\nvar browser_exports = {};\n__export(browser_exports, {\n  fromPixels: () => fromPixels,\n  fromPixelsAsync: () => fromPixelsAsync,\n  toPixels: () => toPixels\n});\nfunction tensor3d(values, shape, dtype) {\n  assertNonNull(values);\n  if (shape != null && shape.length !== 3) {\n    throw new Error(\"tensor3d() requires shape to have three numbers\");\n  }\n  const inferredShape = inferShape(values, dtype);\n  if (inferredShape.length !== 3 && inferredShape.length !== 1) {\n    throw new Error(\"tensor3d() requires values to be number[][][] or flat/TypedArray\");\n  }\n  if (inferredShape.length === 1 && shape == null) {\n    throw new Error(\"tensor3d() requires shape to be provided when `values` are a flat array\");\n  }\n  return makeTensor(values, shape, inferredShape, dtype);\n}\nvar fromPixels2DContext;\nfunction fromPixels_(pixels, numChannels = 3) {\n  if (numChannels > 4) {\n    throw new Error(\"Cannot construct Tensor with more than 4 channels from pixels.\");\n  }\n  if (pixels == null) {\n    throw new Error(\"pixels passed to tf.browser.fromPixels() can not be null\");\n  }\n  let isPixelData2 = false;\n  let isImageData = false;\n  let isVideo = false;\n  let isImage = false;\n  let isCanvasLike = false;\n  let isImageBitmap = false;\n  if (pixels.data instanceof Uint8Array) {\n    isPixelData2 = true;\n  } else if (typeof ImageData !== \"undefined\" && pixels instanceof ImageData) {\n    isImageData = true;\n  } else if (typeof HTMLVideoElement !== \"undefined\" && pixels instanceof HTMLVideoElement) {\n    isVideo = true;\n  } else if (typeof HTMLImageElement !== \"undefined\" && pixels instanceof HTMLImageElement) {\n    isImage = true;\n  } else if (pixels.getContext != null) {\n    isCanvasLike = true;\n  } else if (typeof ImageBitmap !== \"undefined\" && pixels instanceof ImageBitmap) {\n    isImageBitmap = true;\n  } else {\n    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 ${pixels.constructor.name}`);\n  }\n  if (isVideo) {\n    const HAVE_CURRENT_DATA_READY_STATE = 2;\n    if (isVideo && pixels.readyState < HAVE_CURRENT_DATA_READY_STATE) {\n      throw new Error(\"The video element has not loaded data yet. Please wait for `loadeddata` event on the